water and sediment ph.d

13
Hindawi Publishing Corporation ISRN Soil Science Volume 2013, Article ID 131647, 12 pages http://dx.doi.org/10.1155/2013/131647 Research Article Organochlorine Pesticide Residues in Sediments and Waters from Cocoa Producing Areas of Ondo State, Southwestern Nigeria Aderonke Adetutu Okoya, 1 Aderemi Okunola Ogunfowokan, 2 Olabode Idowu Asubiojo, 2 and Nelson Torto 3 1 Institute of Ecology and Environmental Studies, Obafemi Awolowo University, Ile-Ife, Nigeria 2 Department of Chemistry, Obafemi Awolowo University, Ile-Ife, Nigeria 3 Department of Chemistry, Rhodes University, Grahamstown 6140, South Africa Correspondence should be addressed to Aderonke Adetutu Okoya; [email protected] Received 10 January 2013; Accepted 5 February 2013 Academic Editors: D. Lin, C. Martius, and D. van Tuinen Copyright © 2013 Aderonke Adetutu Okoya et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. is study investigated levels of organochlorine pesticide (OCP) residues in water and sediment samples from eleven rivers serving as drinking water sources and receiving runoff from nearby cocoa plantations in Ondo State, Nigeria. Twenty-two composite samples of surface water and sediments (0–3 cm) were collected randomly using grab technique and replicated thrice per season. e efficiency of the two techniques [supercritical fluid extraction (SFE) and liquid/liquid extraction (LLE)] was evaluated with percentage analyte recoveries 98.17 ± 0.03 to 134.72 ± 0.02 for SFE and 84.82 ± 3.32 to 1102.83 ± 3.17 for LLE. Determination of OCPs by gas chromatography with electron capture detection gave higher concentrations for sediments compared to the equivalent water samples. e commonly occurring pesticide residues in the sediments were (range, gg −1 ) cis-chlordane 0.03–6.99; - endosulfan 0.03–6.99; p,p -DDE 0.08–19.04; and dieldrin 0.01–7.62; in the sediments and dieldrin (not detected-1.51 gL −1 ) in water samples, during the dry season. OCP levels were significantly ( < 0.05) higher in dry season than wet season among the rivers. e study concluded that most of the rivers in cocoa growing areas were contaminated with OCPs associated with agricultural activities. 1. Introduction In spite of the benefits (especially with respect to food pro- duction and health management) derived from the use of pes- ticides, the environmental consequences of the widespread use, handling, and disposal methods of pesticides are of great concern [1, 2]. It had been reported that the constraints during acquisition [3] and application of pesticides in the humid forest zones could lead to the risky handling of obsolete pesticides which represents a threat to health and environment. is is because their toxicity has led to the deterioration of human health [4] especially with respect to cancer, neurological damage, and abnormal immune system including the foetus and foetus reproductive system [58]as well as fish kills, honey bee poisonings, and the contamina- tion of livestock products [9]. 1 e most commonly used pesticides are the organochlo- rine pesticides and they are considered to be responsible for the various environmental consequences. e largest regional example of pesticide contamination and human health is perhaps that of the Aral sea-region in Asia [10]. Human health effects of pesticides are caused by inhalation and ingestion through skin contact, handling of pesticide products, breathing of dust or spray and pesticides consumed on/in food, water and aquatic organisms. In view of their toxicity to some plants and insects and persistence in the environment, many synthetic organochlorine compounds have found extensive use as pesticides [1, 11]. Pesticides usage is indeed responsible for the current ability of the developed

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Hindawi Publishing CorporationISRN Soil ScienceVolume 2013 Article ID 131647 12 pageshttpdxdoiorg1011552013131647

Research ArticleOrganochlorine Pesticide Residues in Sediments and Watersfrom Cocoa Producing Areas of Ondo State SouthwesternNigeria

Aderonke Adetutu Okoya1 Aderemi Okunola Ogunfowokan2 Olabode Idowu Asubiojo2

and Nelson Torto3

1 Institute of Ecology and Environmental Studies Obafemi Awolowo University Ile-Ife Nigeria2 Department of Chemistry Obafemi Awolowo University Ile-Ife Nigeria3 Department of Chemistry Rhodes University Grahamstown 6140 South Africa

Correspondence should be addressed to Aderonke Adetutu Okoya ronkeokoyayahoocom

Received 10 January 2013 Accepted 5 February 2013

Academic Editors D Lin C Martius and D van Tuinen

Copyright copy 2013 Aderonke Adetutu Okoya et al This is an open access article distributed under the Creative CommonsAttribution License which permits unrestricted use distribution and reproduction in any medium provided the original work isproperly cited

This study investigated levels of organochlorine pesticide (OCP) residues in water and sediment samples from eleven rivers servingas drinking water sources and receiving runoff from nearby cocoa plantations in Ondo State Nigeria Twenty-two compositesamples of surface water and sediments (0ndash3 cm) were collected randomly using grab technique and replicated thrice per seasonThe efficiency of the two techniques [supercritical fluid extraction (SFE) and liquidliquid extraction (LLE)] was evaluated withpercentage analyte recoveries 9817 plusmn 003 to 13472 plusmn 002 for SFE and 8482 plusmn 332 to 110283 plusmn 317 for LLE Determination ofOCPs by gas chromatography with electron capture detection gave higher concentrations for sediments compared to the equivalentwater samples The commonly occurring pesticide residues in the sediments were (range 120583g gminus1) cis-chlordane 003ndash699 120572-endosulfan 003ndash699 pp1015840-DDE 008ndash1904 and dieldrin 001ndash762 in the sediments and dieldrin (not detected-151 120583g Lminus1) in watersamples during the dry season OCP levels were significantly (119875 lt 005) higher in dry season than wet season among the riversThe study concluded that most of the rivers in cocoa growing areas were contaminated with OCPs associated with agriculturalactivities

1 Introduction

In spite of the benefits (especially with respect to food pro-duction and healthmanagement) derived from the use of pes-ticides the environmental consequences of the widespreaduse handling and disposal methods of pesticides are of greatconcern [1 2] It had been reported that the constraintsduring acquisition [3] and application of pesticides in thehumid forest zones could lead to the risky handling ofobsolete pesticides which represents a threat to health andenvironment This is because their toxicity has led to thedeterioration of human health [4] especially with respect tocancer neurological damage and abnormal immune systemincluding the foetus and foetus reproductive system [5ndash8]as

well as fish kills honey bee poisonings and the contamina-tion of livestock products [9] 1

The most commonly used pesticides are the organochlo-rine pesticides and they are considered to be responsiblefor the various environmental consequences The largestregional example of pesticide contamination and humanhealth is perhaps that of the Aral sea-region in Asia [10]Human health effects of pesticides are caused by inhalationand ingestion through skin contact handling of pesticideproducts breathing of dust or spray and pesticides consumedonin food water and aquatic organisms In view of theirtoxicity to some plants and insects and persistence in theenvironment many synthetic organochlorine compoundshave found extensive use as pesticides [1 11] Pesticides usageis indeed responsible for the current ability of the developed

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Note
Please send us any corrections required here as a sticky notes or in a sperate word file dont send the manuscript

2 ISRN Soil Science

Table 1 Percentage recoveries retention times and response factors of the pesticide standard mixture

Standards Recovery Retention time (min) Response factorLLE SFE

HCB 9779 plusmn 113 10314 plusmn 005 831 041120572BHC 9027 plusmn 834 9959 plusmn 003 858 048120573BHC 9330 plusmn 209 9957 plusmn 001 974 056120574BHC 9858 plusmn 315 13041 plusmn 1601 952 054Heptachlor 9946 plusmn 122 9991 plusmn 002 1052 096Aldrin 9661 plusmn 148 9985 plusmn 002 1151 107Trans-Chlordane 9402 plusmn 179 13472 plusmn 002 1407 110Cis-Chlordane 9601 plusmn 196 10029 plusmn 001 1459 060120572-endosulfan 9601 plusmn 185 10029 plusmn 001 1459 060pp1015840-DDE 9448 plusmn 111 9986 plusmn 002 1541 068Dieldrin 8793 plusmn 233 9817 plusmn 003 1583 103op1015840-DDD 10283 plusmn 317 12495 plusmn 002 1638 081Endrin 9140 plusmn 353 10790 plusmn 004 1716 108pp1015840-DDD 9168 plusmn 154 11510 plusmn 003 1772 080120573-endosulfan 8482 plusmn 332 11535 plusmn 001 1812 105pp1015840-DDT 9079 plusmn 456 11589 plusmn 002 1909 086Methoxychlor (I S) 2296 mdash

Table 2 Sampling sites and their geographical position

119878119873 Sample GPS location of sampling point Local name of study unit

1 R1S107∘10101584027910158401015840N004∘51101584054221015840E Agoo river at Ile-Oluji

2 R2S207∘18101584036610158401015840N005∘39101584055310158401015840E Ose river at Ose

3 R3S307∘16101584027110158401015840N005∘9101584056910158401015840E Ala river at Akure

4 R4S407∘6101584039810158401015840N004∘49101584026710158401015840E Luwa river at Ondo

5 R5S507∘15101584035810158401015840N005∘2210158404641015840E Ogbese river at Ogbese

6 R6S607∘10101584017410158401015840N004∘431015840551015840E Oni river at IfetedoOke-Igbo

7 R7S707∘1310158405610158401015840N005∘31015840541E Aponmu river at Aponmu

8 R8S807∘1310158405610158401015840N004∘1510158400010158401015840E Osun river at Osogbo

9 R9S907∘1310158405610158401015840N004∘3010158400010158401015840E Opa river at Ile-Ife

10 R10S1007∘24101584010910158401015840N005∘00101584049510158401015840E Owena-Osun river at Owena-Ijesa

11 R11S1107∘11101584052210158401015840N005∘01101584014610158401015840E Owena-Ondo river in Ondo

countries to produce and harvest large amount of food cropson relatively small amount of landwith a relatively small inputof human labour

One major problem of cocoa growing is presented bydiseases and pests [12ndash14] Large scale spraying of pesticidesagainst these diseases has been employed by most farmers A

lot of effort has been channeled by environmental protectionagencies and organizations in developed countries towardsregulation of organochlorine pesticides use in order to pre-vent their concentrations from exceeding permissible levelsparticularly in our food supply Pesticides contamination wasalso reported in areas where citric crops are predominant by

ISRN Soil Science 3

Table3Meanconcentration(120583gg)

ofOCP

sinsedimentsam

ples

ofsomer

iversinOnd

oStated

uringthew

etseason

Analytes

Agoo

Ose

Ala

Oluwa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oHCB

ND

ND

004

bplusmn003555

aplusmn001002

bplusmn001016

bplusmn007006

bplusmn005011

bplusmn007013

bplusmn002

ND

NS

120572-BHC

ND

ND

ND

099

aplusmn003004

bplusmn002

ND

017

bplusmn013025

bplusmn003

ND

ND

NS

120573-BHC

ND

ND

ND

725

aplusmn001

ND

029

bplusmn013162

bplusmn077018plusmn005

bND

ND

NS

120574-BHC

ND

ND

ND

528

aplusmn001004

bplusmn001039

bplusmn017079

bplusmn006015

bplusmn001064

bplusmn053

ND

NS

Heptachlor

ND

ND

ND

116

aplusmn001

ND

ND

058

baplusmn004

001

bplusmn001109

aplusmn006

ND

NS

Aldrin

ND

ND

ND

276

aplusmn002

ND

ND

ND

ND

ND

ND

NS

Trans-chlordane174

bplusmn002

ND

001

bplusmn001458

aplusmn003

ND

ND

049

bplusmn027023

bplusmn012

ND

058

bplusmn001

NS

Cis-chlordane

ND

ND

002

bplusmn001

ND

036

bplusmn017002

bplusmn001

ND

003

bplusmn002299

aplusmn061

ND

NS

120572-end

osulfan

ND

ND

002

bplusmn001

ND

036

bplusmn007002

bplusmn001

ND

003plusmn002

b212

aplusmn019

ND

NS

120573-end

osulfan014

bplusmn007

ND

006

bplusmn002150

aplusmn001002

cplusmn001

ND

088

bplusmn002004

cplusmn002

ND

ND

NS

pp1015840-D

DE

ND

ND

006

bplusmn001791

aplusmn004151

bplusmn002037

bplusmn008501

aplusmn151013

bplusmn015035

bplusmn031

ND

NS

op1015840-D

DD

002

bplusmn001

ND

ND

518

aplusmn003

ND

ND

009

bplusmn002

001

bplusmn001

ND

ND

NS

pp1015840-D

DD

131

bplusmn008

ND

001

bplusmn0011028aplusmn001

ND

ND

148

bplusmn017013

bplusmn011

ND

ND

NS

pp1015840-D

DT

174

aplusmn001011

bplusmn000

001

bplusmn001115

bplusmn015

ND

002

bplusmn002018

bplusmn006043

bplusmn001

ND

ND

NS

Dieldrin

456

bplusmn002057

cplusmn006303

cbplusmn003882

aplusmn004099

cbplusmn053012

cplusmn006046

cplusmn003061

cplusmn011343

cbplusmn001007

cplusmn003

NS

Endrin

ND

ND

001

bplusmn001443

aplusmn004

ND

ND

032

bplusmn001012

bplusmn001

ND

ND

NS

lowastDatainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNSno

sampleNDnot

detected

4 ISRN Soil Science

Table4Meanconcentration(120583gg)

ofOCP

sinsedimentsam

ples

ofsomer

iversinOnd

oStated

uringthed

ryseason

Analytes

Agoo

Ose

Ala

Oluwa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oHCB

189

bplusmn005

ND

051

bplusmn0062518aplusmn305605

bplusmn002033

bplusmn012469

bplusmn153

NS

NS

ND

004

bplusmn003

120572-BHC

503

baplusmn002

ND

095

cplusmn008

001

cplusmn001232

bcplusmn153018

cplusmn003807

aplusmn300

NS

NS

ND

005

cplusmn001

120573-BHC

460

bplusmn022051

bplusmn077326

bplusmn005

001

bplusmn001010

bplusmn006131

bplusmn0061091aplusmn666

NS

NS

ND

014

bplusmn011

120574-BHC

405

bplusmn001

ND

022

bplusmn004

001

bplusmn001908

aplusmn002093

bplusmn008389

bplusmn004

NS

NS

ND

005

bplusmn001

Heptachlor

ND

bND

ND

ND

ND

ND

ND

NS

NS

ND

ND

Aldrin

655

aplusmn002

ND

003

bplusmn001

001

aplusmn001005

bplusmn003080

bplusmn037139

bplusmn005

NS

NS

ND

010

bplusmn007

Trans-chlordane264

bplusmn001

ND

380

bplusmn0038132aplusmn706026

bplusmn006047

bplusmn011288

bplusmn153

NS

NS058

bplusmn008039

bplusmn006

Cis-chlordane344

bplusmn002199

cbplusmn005020

cplusmn007106

cbplusmn003699

aplusmn005228

cbplusmn103023

cplusmn015

NS

NS103

cbplusmn100003

cplusmn001

120572-end

osulfan344

bplusmn002199

cbplusmn001020

cplusmn008106

cbplusmn003699

aplusmn002228

cbplusmn153023

cplusmn015

NS

NS103

cbplusmn071003

cplusmn001

120573-end

osulfan136

bplusmn001

ND

584

aplusmn100704

aplusmn002198

bplusmn001080

bplusmn069009

bplusmn007

NS

NS

001

bplusmn001008

bplusmn002

pp1015840-D

DE

1789aplusmn003775

bplusmn066326

bplusmn005279

bplusmn004121

bplusmn115337

bplusmn3081904aplusmn125

NS

NS008

bplusmn003019

bplusmn015

op1015840-D

DD

312

bplusmn109

ND

ND

1115aplusmn136009

bplusmn003025

bplusmn009954

aplusmn410

NS

NS

001

bplusmn001009

bplusmn007

pp1015840-D

DD

205

bplusmn001

ND

705

bplusmn0135740aplusmn676006

bplusmn005154

bplusmn136074

bplusmn016

NS

NS

001

bplusmn001008

bplusmn007

Dieldrin

238

cbplusmn001239

cbplusmn001762

aplusmn572

001

dplusmn001013

dplusmn005313

bplusmn153018

dplusmn003

NS

NS065

cdplusmn053005

dplusmn003

Endrin

114

bplusmn005

ND

022

cplusmn0162128aplusmn317011

cplusmn003039

cplusmn012054

cplusmn015

NS

NS

ND

002

cplusmn001

lowastDatainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNSno

sampleNDnot

detected

ISRN Soil Science 5

Table5Meanconcentration(120583gL)

andseason

alvaria

tionof

organo

chlorin

ecom

poun

dsin

somer

iversinOnd

oState

Analytes

Agoo-Ile

-Oluji

Ose

Ala

OLu

wa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oDry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

HCB

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120572-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120573-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120574-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Heptachlor

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Aldrin

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

001

aplusmn001

ND

Trans-chlordane

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

034

aplusmn003

ND

ND

ND

ND

ND

ND

ND

ND

ND

Cis-chlordane

165

aplusmn001

ND

ND

ND

ND

ND

013

bplusmn009

ND

ND

ND

ND

ND

001

cplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

120572-end

osulfan

165

aplusmn001

ND

ND

ND

ND

ND

013

bplusmn002

ND

ND

ND

ND

ND001cplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

120573-end

osulfan

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DE

ND

ND

ND

ND

ND

ND

011

aplusmn003

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

opl-D

DD

ND

ND

ND

ND

ND

ND

001

aplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DD

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DT

ND

ND

ND

ND

ND

ND

002

aplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Dieldrin

ND

ND

ND

ND

107

bplusmn006

ND

151

aplusmn005

ND

ND

ND

ND

ND

ND

ND

ND025abplusmn004

ND

ND

ND

ND

ND

ND

Endrin

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Datainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNDnot

detected

6 ISRN Soil Science

Table6Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthew

etseason

OCP

sPC

BsHCB120572-BHC120573-BHC120574-BHC

HEP

TAC

HLO

RALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

096

098

099

068

099

092

minus006

minus004

086

083

099

098

001

081

099

120572-BHC

100

097

097

069

096

090

minus009

minus007

090

088

096

096

minus000

076

097

120573-BHC

100

099

072

098

092

minus009

minus007

094

092

098

099

000

078

099

120574-BHC

100

078

098

091

002

004

091

089

098

098

minus000

081

099

HEP

TACH

LOR

100

067

063

053

059

074

075

068

070

minus004

070

069

ALD

RIN

100

092

minus007

minus006

086

083

099

098

002

081

099

TRANS-CH

LORD

ANE

100

minus011

minus009

086

080

093

096

037

089

093

CIS-CH

LORD

ANE

100

092

minus011minus006

minus007

minus009minus008

017

minus008

120572-ENDOSU

LFAN

100minus009

minus003

minus006

minus007minus006

021

minus006

120573-ENDOSU

LFAN

100

098

086

092

007

071

089

PP1015840 -DDE

100

084

088

minus002

066

086

OP1015840 -DDD

100

098

002

081

099

PP1015840 -DDD

100

014

084

099

PP1015840 -DDT

100

043

001

DIELD

RIN

100

080

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

ISRN Soil Science 7

Table7Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthed

ryseason

HCB120572-BHC120573-BHC120574-BHC

HEP

TACH

LOR

ALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

013

0008

019

006

001

096

023

023

075

015

082

095

007

minus014

086

120572-BHC

100

093

064

092

063

minus005

031

031

004

090

057

minus007

063

007

016

120573-BHC

100

039

090

050

minus005

006

006

009

088

058

minus005

051

024

009

120574-BHC

100

046

039

minus008

086

086

011

045

021

minus009

037

027

minus002

HEP

TACH

LOR

100

081

minus005

021

021

013

094

048

minus005

083

030

026

ALD

RIN

100

minus004

034

034

034

076

024

minus005

098

021

041

TRANS-CH

LORD

ANE

100

003

003

076

004

075

099

003

minus009

089

CIS-CH

LORD

ANE

100

100

021

027

004

003

031

015

019

120572-ENDOSU

LFAN

100

021

027

004

003

031

015

019

120573-ENDOSU

LFAN

100

009

052

081

014

044

069

PP1015840 -DDE

100

057

003

076

025

032

OP1015840 -DDD

100

073

028

minus013

073

PP1015840 -DDD

100

003

minus002

088

PP1015840 -DDT

100

026

047

DIELD

RIN

100

minus001

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

8 ISRN Soil Science

Pitarch et al [15] Five watersheds relevant to the sustainabil-ity of the area were also monitored [15ndash17] for pesticides inSalmonid-bearing streams under the auspices of WashingtonState Departments of Ecology and Agriculture Residues oforganochlorine pesticides were investigated in the water andsurface sediments from the lower reaches of the YangtzeRiver to evaluate their pollution and potential risksThe studyreported that there was no obvious trend of declining DDTconcentrations in the sediments from the river [18]

Theneed for pesticide regulation and enforcement of suchwith respect to pest management safeguarding users andconsumersrsquo health and the protection of the environmentis a task that must be achieved In Nigeria apart from thenational guidelines and standards for industrial effluentsgaseous emission and hazardous wastes [19] the NationalAgency for Food and Drugs Administration and Control(NAFDAC) also made the Pesticide Registration Regulation1996 under Decree 15 of the Federal Republic of Nigeria 1993The law made application for the registration of pesticidescompulsory with prescribed guidelines The regulation spec-ified that ldquoNo pesticide shall be manufactured formulatedimported advertised sold or distributed in Nigeria unlessit has been registered in accordance with the provisions ofthese Regulationsrdquo [20] In spite of the laudable provisionslack of enforcement of the law by the regulatory agencystill makes the containment of the risk associated with theuse of pesticides an elusive task in Nigeria The marketingof pesticides in Nigeria is very much unorganized andlacks proper legislative control This has made it difficultto determine the various market sizes types and sharesof pesticides in use Hence there is no dependable officialstatistics on the type and amount of pesticides imported intothe country [21] However environmental pollution controlis just beginning to receive the desired attention in NigeriaAn important component of this is in the reliable informationon the levels of key pollutants in different media and settingsin the country Akinnifesi et al [22] investigated the physic-chemical characteristics of soils in the main cocoa producingarea of Ondo state and found that fungicide residues causeda significant increase in soil acidity organic matter andcopper concentrations The general occurrence persistenceand consequences in the environment of OCPs and thefact that it is inevitable that persistent organic pollutants(POPs) contaminated sites will continue to represent anenvironmental issue for contemporary and future generationsto address [23] make it important to determine their levels insome areas of likely predominance

Ondo State is a major cocoa producing area in NigeriaIn addition to supplying much-needed raw materials forsome local industries cocoa export is an important source offoreign exchange earnings for the country In Nigeria thereseems to be paucity of data on the monitoring of pesticideresidues in the country Cocoa farmers in Nigeria have along history of pesticide usage on their farms Cocoa beinga plantation crop had been subjected to large volume ofinsecticides annually since 1957 especially for the controlof the brown cacao mirid Sahlbergella singularis Haglund[20 21] Hence this study is designed to provide informationon the levels of OCPs in the sediments and surface water

from rivers that flow through the main cocoa-producingareas of Ondo State of Nigeria where the cocoa farmers haveemployed pesticide spraying operations on their cocoa farms

2 Materials and Methods

21 Sample Collection Preservation Preparation and Storage

211 Sampling Sites Sediment and water samples of riversin some cocoa producing areas of Ondo State Nigeriawere collected as shown in Figure 1 These rivers includedOluwaOwena-OsunOwena-OndoOseOgbese Ala AgooAponmu Oni Opa and Osun Opa and Osun rivers weresampled where there was no cocoa plantation to serve ascontrols

212 Water samples Grab sampling technique was used tocollect six core surface water samples randomly which washomogenized to form a composite sample (25 L) per riverEach was replicated thrice per season to give a total of 66samples Concentrated sulphuric acid (50mL) was addedto each of the samples immediately after the collection toprevent microbial degradation of samples The samples werekept cool during transportation to the laboratory and thenstored at 4∘C in a refrigerator until analysed

213 Sediment Samples Sediment samples were collectedfrom the 0ndash3 cm depth from the same site as water sampleswrapped up in aluminium foil and then put in a polyethylenebag Samples were kept cool during transportation to thelaboratory At the laboratory they were freeze-dried prior tosample preparation and analysis Sediment samples were laterthawed and air-dried at ambient temperature The compositedried sediment samples were processed through 20mmstainless steel sieve The less than 63 120583m soil samples wereprepared using the 63120583mstainless steel sieve prior to analysis

22 Extraction of OCPs from the Sediment and Surface WaterSamples The sample cell was packed with some glass-woolafter which 3 g sediment samples fortified with pesticidesstandards in the concentration range of 1ndash50 ppm and with500120583Lmodifier (methanolacetonemixture ratio 2 3) spikedonto the sediment was introduced and glass-wool was addedto fill the cell completely The cell was pressurized to 300 barat 60∘C with SC-CO2 (density = 0872 gmL)

The pressure was maintained for 20min (static extrac-tion) and dynamic extraction was carried out for another30minThe extract was collected into a glass tube containing5mL acetone and then concentrated to about 2mL on avacuum rotary evaporator

The extraction chamber was depressurized according tothe equipment manual The reduced extract was taken forGC-ECDanalysis Triplicate analyses of the sediment samplesfrom each study site were carried out The same procedureabove was used to extract OCPs from raw sediment samples

However standard liquidliquid extraction method wasused to isolate the OCPs from both raw and spiked surfacewater samples as suggested by Fatoki and Awofolu [24] The

ISRN Soil Science 9

Control pointsSample pointsPlantations

RiversState boundary

7∘09984000998400998400N

6∘09984000998400998400N

7∘09984000998400998400N

6∘09984000998400998400N

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

377 55 15 225 30Kilometers

0

N

Figure 1 Map of the study area showing the geographical locations of sampling points

reduced extracts were taken for GC-ECD analyses Triplicateanalyses of the water samples from each study site were done

23 Gas Chromatographic Analysis of Extracts from SedimentandWater Samples Onemicrolitre each of processed sampleforGCanalysis was injected in turns into theGC-ECD systemXL PerkinElmer used in a split less mode and equippedwith a 63Ni electron capture detector column Zebron ZB35 fused silica capillary column 30 cm times 025mm times025 120583m (film thickness) for analyses The injector anddetector temperatures were maintained at 250∘C and 300∘Crespectively The oven temperature was initially maintainedat 50∘C (hold 1min) ramped to 200∘C at 40∘Cmin (hold2min) ramped to 240∘C at 4∘Cmin (hold 1min) and finallyramped to 270∘C at 4∘Cmin (hold 5min) The carrier gaswas 99999 nitrogen gasThe carrier gas flow rate was 14 psifor optimum performance The extraction efficiencies at thedifferent temperature were determined by comparison of thepeak areas sample extract with those of the pesticide standard

mixture The response factors were determined according tostandard method [25] 2

3

4

The result of the GC-ECD determination of the OC stan-dard mixture and the calculated response factors is presentedin Table 1 All the 22 compounds were well resolved andeluted within a reasonable time of less than 30 minutes underthe optimized gas chromatograph-electron capture detector(GC-ECD) conditions The identities of the OCPs in sampleextracts were confirmed by spiking and comparing theirretention times with those of standards and concentrationswere determined by computer calculation making use ofboth the response factors of the OCPs and the internalstandard The sample clean-up techniques achieved highanalyte recoveries of 9817 plusmn 003 to 13472 plusmn 002 for SFEand 8482 plusmn 332 to 10283 plusmn 317 for LLE with RSD of lessthan 6 in both cases (Table 1) 5

24 Statistical Analysis of the Data Thevarious data obtainedwere subjected to New Duncan Multiple Range and PearsonCorrelation tests

10 ISRN Soil Science

3 Results and Discussion

Thegeographical locations of the sampling sites are presentedin Table 2 The results of various organochlorine pesticide(OCP) residues in the sediment are as presented in Tables 3and 4 on seasonal basis Low concentrations of OCPs wereobserved for samples taken during the wet season relativeto those for the dry season This is expected because of thedilution at the former season and the fact that the transportand dispersion of pollutants in the aquatic environment iscontrolled by advection (mass movement) and mixing ordiffusion [26] In the sediment samples all the analytes exceptheptachlor which was not detected (lt002 120583gg detectionlimit) were found at appreciably higher concentration withthe following ranges (120583gg) HCB (NDmdash2518 plusmn 305) 120572-BHC (NDmdash807 plusmn 300) 120573-BHC (NDmdash1091 plusmn 666)120574-BHC (NDmdash908 plusmn 002) aldrin (NDmdash655 plusmn 002)Trans-chlordane (NDmdash8132 plusmn 706) Cis-chlordane (003 plusmn001ndash699 plusmn 005) 120572-endosulphan (003 plusmn 001ndash699 plusmn002) 120573-endosulphan (NDmdash704 plusmn 002) pp1015840-DDE (008 plusmn003ndash1904 plusmn 125) op1015840-DDD (NDmdash1115 plusmn 136) pp1015840-DDD (NDmdash5740 plusmn 676) dieldrin (001 plusmn 001ndash762 plusmn 572)and endrin (NDmdash2128 plusmn 317) in almost all the rivers inthe dry season (Table 4) than the range (120583gg) in the wetseason HCB (NDmdash555 plusmn 001) 120572-BHC (NDmdash099 plusmn 003)120573-BHC (NDmdash725 plusmn 001) 120574-BHC (NDmdash528 plusmn 001) hep-tachlor (NDmdash116 plusmn 001) aldrin (NDmdash276 plusmn 002) Trans-chlordane (NDmdash458 plusmn 003) Cis-chlordane (NDmdash299 plusmn061) 120572-endosulphan (NDmdash212 plusmn 019) 120573-endosulphan(NDmdash150 plusmn 001) p p1015840-DDE (NDmdash791 plusmn 004) op1015840-DDD (NDmdash518 plusmn 003) pp1015840-DDD (NDmdash1028 plusmn 001)dieldrin (007 plusmn 003ndash882 plusmn 004) and endrin (NDmdash443 plusmn004) (Table 3) The high concentration of pp1015840-DDT (174 plusmn001) 120583gg in sediments from Agoo River compared to theother DDTmetabolites suggests an indication of recent usageof DDT (probably with different trade name) in the studyarea more so that at the time of sampling Agoo Rivera farmer was spraying a cocoa plantation adjacent to theriver Some of the pesticides detected in the sedimentssuch as chlordane heptachlor DDT DDE and endosulfanare known to have endocrine and estrogenic disruptingproperties [27] whichmay greatly impact on the biodiversityof the aquatic ecosystem The presence of DDT (Table 3)and some of its degradation residues in the matrix can beattributed to their wide usage before their banning [28] Sincethey are persistent enough and degrade slowly and easilyaccumulate in the soil the transportation of these pesticidesboth sorbed onto solids and dissolved by the surface waterdown to the water sources is expected [29] The persistenthalf-life of DDT in aquatic environments has been suggestedto be approximately 5 years [30] 10ndash20 years (estimated fromstudies) in bivalves [31] As various DDT metabolites persistfor a long time in the environment their gradual degradationoccurs under aerobic conditions as DDE and as DDD [32]6

7Table 5 shows the results of the determination of

organochlorine pesticide (OCP) residues in water samplesfrom various rivers on seasonal basis It has been observedthat the concentrations of analytes were very low in the

water samples (Table 5) compared to their concentrations insediment samples (Tables 3 and 4) in both dry andwet seasonThese results prove that these compounds are not hydrophilicand tend to accumulate in sediment and subsequently in fattytissue of organisms [33 34] Levels of OCPs in the surfacewater samples from all the rivers in the study area were intrace concentration (lt001 120583gL detection limit) for the wetseason analyses However some elevated levels (Table 5) of034 120583gL of trans-chlordane in Aponmu River 151 011 013and 013 120583gL of Dieldrin pp1015840-DDE cis-chlordane and 120572-endosulphan respectively in Oluwa River elevated levelsof 165 and 165 120583gL of cis-chlordane and 120572-endosulfanrespectively in Agoo River gave cause for concern Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte detectedOluwa River appeared to be the most contaminated Othercompounds were not detected because these compoundsare hydrophobic and tend to accumulate in fatty tissue oforganisms and sediment 8

9The result for dry season analyses also indicated that the

concentration ofmost of the analytes is at trace concentrationexcept for trans-chloride (034 120583gL) cis-chlordane and 120572-endosulphan (001 120583gL each) which are detected inAponmuriver and those detected in Oluwa River cis-chlordane and120572-endosulphan (013 120583gL) pp1015840-DDE (011 120583gL) op1015840-DDD(001120583gL) pp1015840-DDT (002 120583gL) and dieldrin (151 120583gL)The concentration of cis-chlordane and 120572-endosulphan inAgoo River at Ile-Oluji was 165 120583gL The amount of aldrinin Owena river at Owena-Ondo was 001120583gL 10

It was not surprising to detect DDT in water samples ofOluwa River in Ondo State DDE which is the most oftenrecognized metabolite of the DDT is a very less degradablecompound Another major reason of the presence of DDDin the river despite the fact that its production is completelybanned in the world is due to the fact that DDD wasproduced and sold by another name ldquoRothanerdquo for severalyears [28] The results showed that the concentrations ofmost of the organochlorine compounds analyzed were belowthe maximum acceptable concentration of 01120583gL value setby the European Union (EU) for the protection of aquaticenvironment 11

31 Statistical Analysis There is no significant difference inthe mean concentrations of most of the analytes detected inwater and sediment in the results of Duncan multiple rangetests (Tables 3 4 and 5)The correlation tests (Table 6) carriedout for sediment for wet season analysis revealed that most ofthe organochlorine compounds correlate positively (071 le119903 le 100)with each other at probability level of 00001while op1015840-DDD pp1015840-DDD were negatively correlated at probabilityrange of 003 to 089 However dieldrin had very low butpositive correlation within the probability range of 00158to 02371 There were strong correlations (Table 7) betweenhexachlorobenzene (HCB) and trans-chlordane (119903 = 096)120573-endosulphan (119903 = 075) op-DDD (119903 = 082) pp-DDD(119903 = 095) endrin (119903 = 086) 12

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

2 ISRN Soil Science

Table 1 Percentage recoveries retention times and response factors of the pesticide standard mixture

Standards Recovery Retention time (min) Response factorLLE SFE

HCB 9779 plusmn 113 10314 plusmn 005 831 041120572BHC 9027 plusmn 834 9959 plusmn 003 858 048120573BHC 9330 plusmn 209 9957 plusmn 001 974 056120574BHC 9858 plusmn 315 13041 plusmn 1601 952 054Heptachlor 9946 plusmn 122 9991 plusmn 002 1052 096Aldrin 9661 plusmn 148 9985 plusmn 002 1151 107Trans-Chlordane 9402 plusmn 179 13472 plusmn 002 1407 110Cis-Chlordane 9601 plusmn 196 10029 plusmn 001 1459 060120572-endosulfan 9601 plusmn 185 10029 plusmn 001 1459 060pp1015840-DDE 9448 plusmn 111 9986 plusmn 002 1541 068Dieldrin 8793 plusmn 233 9817 plusmn 003 1583 103op1015840-DDD 10283 plusmn 317 12495 plusmn 002 1638 081Endrin 9140 plusmn 353 10790 plusmn 004 1716 108pp1015840-DDD 9168 plusmn 154 11510 plusmn 003 1772 080120573-endosulfan 8482 plusmn 332 11535 plusmn 001 1812 105pp1015840-DDT 9079 plusmn 456 11589 plusmn 002 1909 086Methoxychlor (I S) 2296 mdash

Table 2 Sampling sites and their geographical position

119878119873 Sample GPS location of sampling point Local name of study unit

1 R1S107∘10101584027910158401015840N004∘51101584054221015840E Agoo river at Ile-Oluji

2 R2S207∘18101584036610158401015840N005∘39101584055310158401015840E Ose river at Ose

3 R3S307∘16101584027110158401015840N005∘9101584056910158401015840E Ala river at Akure

4 R4S407∘6101584039810158401015840N004∘49101584026710158401015840E Luwa river at Ondo

5 R5S507∘15101584035810158401015840N005∘2210158404641015840E Ogbese river at Ogbese

6 R6S607∘10101584017410158401015840N004∘431015840551015840E Oni river at IfetedoOke-Igbo

7 R7S707∘1310158405610158401015840N005∘31015840541E Aponmu river at Aponmu

8 R8S807∘1310158405610158401015840N004∘1510158400010158401015840E Osun river at Osogbo

9 R9S907∘1310158405610158401015840N004∘3010158400010158401015840E Opa river at Ile-Ife

10 R10S1007∘24101584010910158401015840N005∘00101584049510158401015840E Owena-Osun river at Owena-Ijesa

11 R11S1107∘11101584052210158401015840N005∘01101584014610158401015840E Owena-Ondo river in Ondo

countries to produce and harvest large amount of food cropson relatively small amount of landwith a relatively small inputof human labour

One major problem of cocoa growing is presented bydiseases and pests [12ndash14] Large scale spraying of pesticidesagainst these diseases has been employed by most farmers A

lot of effort has been channeled by environmental protectionagencies and organizations in developed countries towardsregulation of organochlorine pesticides use in order to pre-vent their concentrations from exceeding permissible levelsparticularly in our food supply Pesticides contamination wasalso reported in areas where citric crops are predominant by

ISRN Soil Science 3

Table3Meanconcentration(120583gg)

ofOCP

sinsedimentsam

ples

ofsomer

iversinOnd

oStated

uringthew

etseason

Analytes

Agoo

Ose

Ala

Oluwa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oHCB

ND

ND

004

bplusmn003555

aplusmn001002

bplusmn001016

bplusmn007006

bplusmn005011

bplusmn007013

bplusmn002

ND

NS

120572-BHC

ND

ND

ND

099

aplusmn003004

bplusmn002

ND

017

bplusmn013025

bplusmn003

ND

ND

NS

120573-BHC

ND

ND

ND

725

aplusmn001

ND

029

bplusmn013162

bplusmn077018plusmn005

bND

ND

NS

120574-BHC

ND

ND

ND

528

aplusmn001004

bplusmn001039

bplusmn017079

bplusmn006015

bplusmn001064

bplusmn053

ND

NS

Heptachlor

ND

ND

ND

116

aplusmn001

ND

ND

058

baplusmn004

001

bplusmn001109

aplusmn006

ND

NS

Aldrin

ND

ND

ND

276

aplusmn002

ND

ND

ND

ND

ND

ND

NS

Trans-chlordane174

bplusmn002

ND

001

bplusmn001458

aplusmn003

ND

ND

049

bplusmn027023

bplusmn012

ND

058

bplusmn001

NS

Cis-chlordane

ND

ND

002

bplusmn001

ND

036

bplusmn017002

bplusmn001

ND

003

bplusmn002299

aplusmn061

ND

NS

120572-end

osulfan

ND

ND

002

bplusmn001

ND

036

bplusmn007002

bplusmn001

ND

003plusmn002

b212

aplusmn019

ND

NS

120573-end

osulfan014

bplusmn007

ND

006

bplusmn002150

aplusmn001002

cplusmn001

ND

088

bplusmn002004

cplusmn002

ND

ND

NS

pp1015840-D

DE

ND

ND

006

bplusmn001791

aplusmn004151

bplusmn002037

bplusmn008501

aplusmn151013

bplusmn015035

bplusmn031

ND

NS

op1015840-D

DD

002

bplusmn001

ND

ND

518

aplusmn003

ND

ND

009

bplusmn002

001

bplusmn001

ND

ND

NS

pp1015840-D

DD

131

bplusmn008

ND

001

bplusmn0011028aplusmn001

ND

ND

148

bplusmn017013

bplusmn011

ND

ND

NS

pp1015840-D

DT

174

aplusmn001011

bplusmn000

001

bplusmn001115

bplusmn015

ND

002

bplusmn002018

bplusmn006043

bplusmn001

ND

ND

NS

Dieldrin

456

bplusmn002057

cplusmn006303

cbplusmn003882

aplusmn004099

cbplusmn053012

cplusmn006046

cplusmn003061

cplusmn011343

cbplusmn001007

cplusmn003

NS

Endrin

ND

ND

001

bplusmn001443

aplusmn004

ND

ND

032

bplusmn001012

bplusmn001

ND

ND

NS

lowastDatainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNSno

sampleNDnot

detected

4 ISRN Soil Science

Table4Meanconcentration(120583gg)

ofOCP

sinsedimentsam

ples

ofsomer

iversinOnd

oStated

uringthed

ryseason

Analytes

Agoo

Ose

Ala

Oluwa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oHCB

189

bplusmn005

ND

051

bplusmn0062518aplusmn305605

bplusmn002033

bplusmn012469

bplusmn153

NS

NS

ND

004

bplusmn003

120572-BHC

503

baplusmn002

ND

095

cplusmn008

001

cplusmn001232

bcplusmn153018

cplusmn003807

aplusmn300

NS

NS

ND

005

cplusmn001

120573-BHC

460

bplusmn022051

bplusmn077326

bplusmn005

001

bplusmn001010

bplusmn006131

bplusmn0061091aplusmn666

NS

NS

ND

014

bplusmn011

120574-BHC

405

bplusmn001

ND

022

bplusmn004

001

bplusmn001908

aplusmn002093

bplusmn008389

bplusmn004

NS

NS

ND

005

bplusmn001

Heptachlor

ND

bND

ND

ND

ND

ND

ND

NS

NS

ND

ND

Aldrin

655

aplusmn002

ND

003

bplusmn001

001

aplusmn001005

bplusmn003080

bplusmn037139

bplusmn005

NS

NS

ND

010

bplusmn007

Trans-chlordane264

bplusmn001

ND

380

bplusmn0038132aplusmn706026

bplusmn006047

bplusmn011288

bplusmn153

NS

NS058

bplusmn008039

bplusmn006

Cis-chlordane344

bplusmn002199

cbplusmn005020

cplusmn007106

cbplusmn003699

aplusmn005228

cbplusmn103023

cplusmn015

NS

NS103

cbplusmn100003

cplusmn001

120572-end

osulfan344

bplusmn002199

cbplusmn001020

cplusmn008106

cbplusmn003699

aplusmn002228

cbplusmn153023

cplusmn015

NS

NS103

cbplusmn071003

cplusmn001

120573-end

osulfan136

bplusmn001

ND

584

aplusmn100704

aplusmn002198

bplusmn001080

bplusmn069009

bplusmn007

NS

NS

001

bplusmn001008

bplusmn002

pp1015840-D

DE

1789aplusmn003775

bplusmn066326

bplusmn005279

bplusmn004121

bplusmn115337

bplusmn3081904aplusmn125

NS

NS008

bplusmn003019

bplusmn015

op1015840-D

DD

312

bplusmn109

ND

ND

1115aplusmn136009

bplusmn003025

bplusmn009954

aplusmn410

NS

NS

001

bplusmn001009

bplusmn007

pp1015840-D

DD

205

bplusmn001

ND

705

bplusmn0135740aplusmn676006

bplusmn005154

bplusmn136074

bplusmn016

NS

NS

001

bplusmn001008

bplusmn007

Dieldrin

238

cbplusmn001239

cbplusmn001762

aplusmn572

001

dplusmn001013

dplusmn005313

bplusmn153018

dplusmn003

NS

NS065

cdplusmn053005

dplusmn003

Endrin

114

bplusmn005

ND

022

cplusmn0162128aplusmn317011

cplusmn003039

cplusmn012054

cplusmn015

NS

NS

ND

002

cplusmn001

lowastDatainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNSno

sampleNDnot

detected

ISRN Soil Science 5

Table5Meanconcentration(120583gL)

andseason

alvaria

tionof

organo

chlorin

ecom

poun

dsin

somer

iversinOnd

oState

Analytes

Agoo-Ile

-Oluji

Ose

Ala

OLu

wa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oDry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

HCB

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120572-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120573-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120574-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Heptachlor

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Aldrin

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

001

aplusmn001

ND

Trans-chlordane

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

034

aplusmn003

ND

ND

ND

ND

ND

ND

ND

ND

ND

Cis-chlordane

165

aplusmn001

ND

ND

ND

ND

ND

013

bplusmn009

ND

ND

ND

ND

ND

001

cplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

120572-end

osulfan

165

aplusmn001

ND

ND

ND

ND

ND

013

bplusmn002

ND

ND

ND

ND

ND001cplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

120573-end

osulfan

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DE

ND

ND

ND

ND

ND

ND

011

aplusmn003

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

opl-D

DD

ND

ND

ND

ND

ND

ND

001

aplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DD

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DT

ND

ND

ND

ND

ND

ND

002

aplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Dieldrin

ND

ND

ND

ND

107

bplusmn006

ND

151

aplusmn005

ND

ND

ND

ND

ND

ND

ND

ND025abplusmn004

ND

ND

ND

ND

ND

ND

Endrin

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Datainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNDnot

detected

6 ISRN Soil Science

Table6Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthew

etseason

OCP

sPC

BsHCB120572-BHC120573-BHC120574-BHC

HEP

TAC

HLO

RALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

096

098

099

068

099

092

minus006

minus004

086

083

099

098

001

081

099

120572-BHC

100

097

097

069

096

090

minus009

minus007

090

088

096

096

minus000

076

097

120573-BHC

100

099

072

098

092

minus009

minus007

094

092

098

099

000

078

099

120574-BHC

100

078

098

091

002

004

091

089

098

098

minus000

081

099

HEP

TACH

LOR

100

067

063

053

059

074

075

068

070

minus004

070

069

ALD

RIN

100

092

minus007

minus006

086

083

099

098

002

081

099

TRANS-CH

LORD

ANE

100

minus011

minus009

086

080

093

096

037

089

093

CIS-CH

LORD

ANE

100

092

minus011minus006

minus007

minus009minus008

017

minus008

120572-ENDOSU

LFAN

100minus009

minus003

minus006

minus007minus006

021

minus006

120573-ENDOSU

LFAN

100

098

086

092

007

071

089

PP1015840 -DDE

100

084

088

minus002

066

086

OP1015840 -DDD

100

098

002

081

099

PP1015840 -DDD

100

014

084

099

PP1015840 -DDT

100

043

001

DIELD

RIN

100

080

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

ISRN Soil Science 7

Table7Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthed

ryseason

HCB120572-BHC120573-BHC120574-BHC

HEP

TACH

LOR

ALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

013

0008

019

006

001

096

023

023

075

015

082

095

007

minus014

086

120572-BHC

100

093

064

092

063

minus005

031

031

004

090

057

minus007

063

007

016

120573-BHC

100

039

090

050

minus005

006

006

009

088

058

minus005

051

024

009

120574-BHC

100

046

039

minus008

086

086

011

045

021

minus009

037

027

minus002

HEP

TACH

LOR

100

081

minus005

021

021

013

094

048

minus005

083

030

026

ALD

RIN

100

minus004

034

034

034

076

024

minus005

098

021

041

TRANS-CH

LORD

ANE

100

003

003

076

004

075

099

003

minus009

089

CIS-CH

LORD

ANE

100

100

021

027

004

003

031

015

019

120572-ENDOSU

LFAN

100

021

027

004

003

031

015

019

120573-ENDOSU

LFAN

100

009

052

081

014

044

069

PP1015840 -DDE

100

057

003

076

025

032

OP1015840 -DDD

100

073

028

minus013

073

PP1015840 -DDD

100

003

minus002

088

PP1015840 -DDT

100

026

047

DIELD

RIN

100

minus001

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

8 ISRN Soil Science

Pitarch et al [15] Five watersheds relevant to the sustainabil-ity of the area were also monitored [15ndash17] for pesticides inSalmonid-bearing streams under the auspices of WashingtonState Departments of Ecology and Agriculture Residues oforganochlorine pesticides were investigated in the water andsurface sediments from the lower reaches of the YangtzeRiver to evaluate their pollution and potential risksThe studyreported that there was no obvious trend of declining DDTconcentrations in the sediments from the river [18]

Theneed for pesticide regulation and enforcement of suchwith respect to pest management safeguarding users andconsumersrsquo health and the protection of the environmentis a task that must be achieved In Nigeria apart from thenational guidelines and standards for industrial effluentsgaseous emission and hazardous wastes [19] the NationalAgency for Food and Drugs Administration and Control(NAFDAC) also made the Pesticide Registration Regulation1996 under Decree 15 of the Federal Republic of Nigeria 1993The law made application for the registration of pesticidescompulsory with prescribed guidelines The regulation spec-ified that ldquoNo pesticide shall be manufactured formulatedimported advertised sold or distributed in Nigeria unlessit has been registered in accordance with the provisions ofthese Regulationsrdquo [20] In spite of the laudable provisionslack of enforcement of the law by the regulatory agencystill makes the containment of the risk associated with theuse of pesticides an elusive task in Nigeria The marketingof pesticides in Nigeria is very much unorganized andlacks proper legislative control This has made it difficultto determine the various market sizes types and sharesof pesticides in use Hence there is no dependable officialstatistics on the type and amount of pesticides imported intothe country [21] However environmental pollution controlis just beginning to receive the desired attention in NigeriaAn important component of this is in the reliable informationon the levels of key pollutants in different media and settingsin the country Akinnifesi et al [22] investigated the physic-chemical characteristics of soils in the main cocoa producingarea of Ondo state and found that fungicide residues causeda significant increase in soil acidity organic matter andcopper concentrations The general occurrence persistenceand consequences in the environment of OCPs and thefact that it is inevitable that persistent organic pollutants(POPs) contaminated sites will continue to represent anenvironmental issue for contemporary and future generationsto address [23] make it important to determine their levels insome areas of likely predominance

Ondo State is a major cocoa producing area in NigeriaIn addition to supplying much-needed raw materials forsome local industries cocoa export is an important source offoreign exchange earnings for the country In Nigeria thereseems to be paucity of data on the monitoring of pesticideresidues in the country Cocoa farmers in Nigeria have along history of pesticide usage on their farms Cocoa beinga plantation crop had been subjected to large volume ofinsecticides annually since 1957 especially for the controlof the brown cacao mirid Sahlbergella singularis Haglund[20 21] Hence this study is designed to provide informationon the levels of OCPs in the sediments and surface water

from rivers that flow through the main cocoa-producingareas of Ondo State of Nigeria where the cocoa farmers haveemployed pesticide spraying operations on their cocoa farms

2 Materials and Methods

21 Sample Collection Preservation Preparation and Storage

211 Sampling Sites Sediment and water samples of riversin some cocoa producing areas of Ondo State Nigeriawere collected as shown in Figure 1 These rivers includedOluwaOwena-OsunOwena-OndoOseOgbese Ala AgooAponmu Oni Opa and Osun Opa and Osun rivers weresampled where there was no cocoa plantation to serve ascontrols

212 Water samples Grab sampling technique was used tocollect six core surface water samples randomly which washomogenized to form a composite sample (25 L) per riverEach was replicated thrice per season to give a total of 66samples Concentrated sulphuric acid (50mL) was addedto each of the samples immediately after the collection toprevent microbial degradation of samples The samples werekept cool during transportation to the laboratory and thenstored at 4∘C in a refrigerator until analysed

213 Sediment Samples Sediment samples were collectedfrom the 0ndash3 cm depth from the same site as water sampleswrapped up in aluminium foil and then put in a polyethylenebag Samples were kept cool during transportation to thelaboratory At the laboratory they were freeze-dried prior tosample preparation and analysis Sediment samples were laterthawed and air-dried at ambient temperature The compositedried sediment samples were processed through 20mmstainless steel sieve The less than 63 120583m soil samples wereprepared using the 63120583mstainless steel sieve prior to analysis

22 Extraction of OCPs from the Sediment and Surface WaterSamples The sample cell was packed with some glass-woolafter which 3 g sediment samples fortified with pesticidesstandards in the concentration range of 1ndash50 ppm and with500120583Lmodifier (methanolacetonemixture ratio 2 3) spikedonto the sediment was introduced and glass-wool was addedto fill the cell completely The cell was pressurized to 300 barat 60∘C with SC-CO2 (density = 0872 gmL)

The pressure was maintained for 20min (static extrac-tion) and dynamic extraction was carried out for another30minThe extract was collected into a glass tube containing5mL acetone and then concentrated to about 2mL on avacuum rotary evaporator

The extraction chamber was depressurized according tothe equipment manual The reduced extract was taken forGC-ECDanalysis Triplicate analyses of the sediment samplesfrom each study site were carried out The same procedureabove was used to extract OCPs from raw sediment samples

However standard liquidliquid extraction method wasused to isolate the OCPs from both raw and spiked surfacewater samples as suggested by Fatoki and Awofolu [24] The

ISRN Soil Science 9

Control pointsSample pointsPlantations

RiversState boundary

7∘09984000998400998400N

6∘09984000998400998400N

7∘09984000998400998400N

6∘09984000998400998400N

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

377 55 15 225 30Kilometers

0

N

Figure 1 Map of the study area showing the geographical locations of sampling points

reduced extracts were taken for GC-ECD analyses Triplicateanalyses of the water samples from each study site were done

23 Gas Chromatographic Analysis of Extracts from SedimentandWater Samples Onemicrolitre each of processed sampleforGCanalysis was injected in turns into theGC-ECD systemXL PerkinElmer used in a split less mode and equippedwith a 63Ni electron capture detector column Zebron ZB35 fused silica capillary column 30 cm times 025mm times025 120583m (film thickness) for analyses The injector anddetector temperatures were maintained at 250∘C and 300∘Crespectively The oven temperature was initially maintainedat 50∘C (hold 1min) ramped to 200∘C at 40∘Cmin (hold2min) ramped to 240∘C at 4∘Cmin (hold 1min) and finallyramped to 270∘C at 4∘Cmin (hold 5min) The carrier gaswas 99999 nitrogen gasThe carrier gas flow rate was 14 psifor optimum performance The extraction efficiencies at thedifferent temperature were determined by comparison of thepeak areas sample extract with those of the pesticide standard

mixture The response factors were determined according tostandard method [25] 2

3

4

The result of the GC-ECD determination of the OC stan-dard mixture and the calculated response factors is presentedin Table 1 All the 22 compounds were well resolved andeluted within a reasonable time of less than 30 minutes underthe optimized gas chromatograph-electron capture detector(GC-ECD) conditions The identities of the OCPs in sampleextracts were confirmed by spiking and comparing theirretention times with those of standards and concentrationswere determined by computer calculation making use ofboth the response factors of the OCPs and the internalstandard The sample clean-up techniques achieved highanalyte recoveries of 9817 plusmn 003 to 13472 plusmn 002 for SFEand 8482 plusmn 332 to 10283 plusmn 317 for LLE with RSD of lessthan 6 in both cases (Table 1) 5

24 Statistical Analysis of the Data Thevarious data obtainedwere subjected to New Duncan Multiple Range and PearsonCorrelation tests

10 ISRN Soil Science

3 Results and Discussion

Thegeographical locations of the sampling sites are presentedin Table 2 The results of various organochlorine pesticide(OCP) residues in the sediment are as presented in Tables 3and 4 on seasonal basis Low concentrations of OCPs wereobserved for samples taken during the wet season relativeto those for the dry season This is expected because of thedilution at the former season and the fact that the transportand dispersion of pollutants in the aquatic environment iscontrolled by advection (mass movement) and mixing ordiffusion [26] In the sediment samples all the analytes exceptheptachlor which was not detected (lt002 120583gg detectionlimit) were found at appreciably higher concentration withthe following ranges (120583gg) HCB (NDmdash2518 plusmn 305) 120572-BHC (NDmdash807 plusmn 300) 120573-BHC (NDmdash1091 plusmn 666)120574-BHC (NDmdash908 plusmn 002) aldrin (NDmdash655 plusmn 002)Trans-chlordane (NDmdash8132 plusmn 706) Cis-chlordane (003 plusmn001ndash699 plusmn 005) 120572-endosulphan (003 plusmn 001ndash699 plusmn002) 120573-endosulphan (NDmdash704 plusmn 002) pp1015840-DDE (008 plusmn003ndash1904 plusmn 125) op1015840-DDD (NDmdash1115 plusmn 136) pp1015840-DDD (NDmdash5740 plusmn 676) dieldrin (001 plusmn 001ndash762 plusmn 572)and endrin (NDmdash2128 plusmn 317) in almost all the rivers inthe dry season (Table 4) than the range (120583gg) in the wetseason HCB (NDmdash555 plusmn 001) 120572-BHC (NDmdash099 plusmn 003)120573-BHC (NDmdash725 plusmn 001) 120574-BHC (NDmdash528 plusmn 001) hep-tachlor (NDmdash116 plusmn 001) aldrin (NDmdash276 plusmn 002) Trans-chlordane (NDmdash458 plusmn 003) Cis-chlordane (NDmdash299 plusmn061) 120572-endosulphan (NDmdash212 plusmn 019) 120573-endosulphan(NDmdash150 plusmn 001) p p1015840-DDE (NDmdash791 plusmn 004) op1015840-DDD (NDmdash518 plusmn 003) pp1015840-DDD (NDmdash1028 plusmn 001)dieldrin (007 plusmn 003ndash882 plusmn 004) and endrin (NDmdash443 plusmn004) (Table 3) The high concentration of pp1015840-DDT (174 plusmn001) 120583gg in sediments from Agoo River compared to theother DDTmetabolites suggests an indication of recent usageof DDT (probably with different trade name) in the studyarea more so that at the time of sampling Agoo Rivera farmer was spraying a cocoa plantation adjacent to theriver Some of the pesticides detected in the sedimentssuch as chlordane heptachlor DDT DDE and endosulfanare known to have endocrine and estrogenic disruptingproperties [27] whichmay greatly impact on the biodiversityof the aquatic ecosystem The presence of DDT (Table 3)and some of its degradation residues in the matrix can beattributed to their wide usage before their banning [28] Sincethey are persistent enough and degrade slowly and easilyaccumulate in the soil the transportation of these pesticidesboth sorbed onto solids and dissolved by the surface waterdown to the water sources is expected [29] The persistenthalf-life of DDT in aquatic environments has been suggestedto be approximately 5 years [30] 10ndash20 years (estimated fromstudies) in bivalves [31] As various DDT metabolites persistfor a long time in the environment their gradual degradationoccurs under aerobic conditions as DDE and as DDD [32]6

7Table 5 shows the results of the determination of

organochlorine pesticide (OCP) residues in water samplesfrom various rivers on seasonal basis It has been observedthat the concentrations of analytes were very low in the

water samples (Table 5) compared to their concentrations insediment samples (Tables 3 and 4) in both dry andwet seasonThese results prove that these compounds are not hydrophilicand tend to accumulate in sediment and subsequently in fattytissue of organisms [33 34] Levels of OCPs in the surfacewater samples from all the rivers in the study area were intrace concentration (lt001 120583gL detection limit) for the wetseason analyses However some elevated levels (Table 5) of034 120583gL of trans-chlordane in Aponmu River 151 011 013and 013 120583gL of Dieldrin pp1015840-DDE cis-chlordane and 120572-endosulphan respectively in Oluwa River elevated levelsof 165 and 165 120583gL of cis-chlordane and 120572-endosulfanrespectively in Agoo River gave cause for concern Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte detectedOluwa River appeared to be the most contaminated Othercompounds were not detected because these compoundsare hydrophobic and tend to accumulate in fatty tissue oforganisms and sediment 8

9The result for dry season analyses also indicated that the

concentration ofmost of the analytes is at trace concentrationexcept for trans-chloride (034 120583gL) cis-chlordane and 120572-endosulphan (001 120583gL each) which are detected inAponmuriver and those detected in Oluwa River cis-chlordane and120572-endosulphan (013 120583gL) pp1015840-DDE (011 120583gL) op1015840-DDD(001120583gL) pp1015840-DDT (002 120583gL) and dieldrin (151 120583gL)The concentration of cis-chlordane and 120572-endosulphan inAgoo River at Ile-Oluji was 165 120583gL The amount of aldrinin Owena river at Owena-Ondo was 001120583gL 10

It was not surprising to detect DDT in water samples ofOluwa River in Ondo State DDE which is the most oftenrecognized metabolite of the DDT is a very less degradablecompound Another major reason of the presence of DDDin the river despite the fact that its production is completelybanned in the world is due to the fact that DDD wasproduced and sold by another name ldquoRothanerdquo for severalyears [28] The results showed that the concentrations ofmost of the organochlorine compounds analyzed were belowthe maximum acceptable concentration of 01120583gL value setby the European Union (EU) for the protection of aquaticenvironment 11

31 Statistical Analysis There is no significant difference inthe mean concentrations of most of the analytes detected inwater and sediment in the results of Duncan multiple rangetests (Tables 3 4 and 5)The correlation tests (Table 6) carriedout for sediment for wet season analysis revealed that most ofthe organochlorine compounds correlate positively (071 le119903 le 100)with each other at probability level of 00001while op1015840-DDD pp1015840-DDD were negatively correlated at probabilityrange of 003 to 089 However dieldrin had very low butpositive correlation within the probability range of 00158to 02371 There were strong correlations (Table 7) betweenhexachlorobenzene (HCB) and trans-chlordane (119903 = 096)120573-endosulphan (119903 = 075) op-DDD (119903 = 082) pp-DDD(119903 = 095) endrin (119903 = 086) 12

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

ISRN Soil Science 3

Table3Meanconcentration(120583gg)

ofOCP

sinsedimentsam

ples

ofsomer

iversinOnd

oStated

uringthew

etseason

Analytes

Agoo

Ose

Ala

Oluwa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oHCB

ND

ND

004

bplusmn003555

aplusmn001002

bplusmn001016

bplusmn007006

bplusmn005011

bplusmn007013

bplusmn002

ND

NS

120572-BHC

ND

ND

ND

099

aplusmn003004

bplusmn002

ND

017

bplusmn013025

bplusmn003

ND

ND

NS

120573-BHC

ND

ND

ND

725

aplusmn001

ND

029

bplusmn013162

bplusmn077018plusmn005

bND

ND

NS

120574-BHC

ND

ND

ND

528

aplusmn001004

bplusmn001039

bplusmn017079

bplusmn006015

bplusmn001064

bplusmn053

ND

NS

Heptachlor

ND

ND

ND

116

aplusmn001

ND

ND

058

baplusmn004

001

bplusmn001109

aplusmn006

ND

NS

Aldrin

ND

ND

ND

276

aplusmn002

ND

ND

ND

ND

ND

ND

NS

Trans-chlordane174

bplusmn002

ND

001

bplusmn001458

aplusmn003

ND

ND

049

bplusmn027023

bplusmn012

ND

058

bplusmn001

NS

Cis-chlordane

ND

ND

002

bplusmn001

ND

036

bplusmn017002

bplusmn001

ND

003

bplusmn002299

aplusmn061

ND

NS

120572-end

osulfan

ND

ND

002

bplusmn001

ND

036

bplusmn007002

bplusmn001

ND

003plusmn002

b212

aplusmn019

ND

NS

120573-end

osulfan014

bplusmn007

ND

006

bplusmn002150

aplusmn001002

cplusmn001

ND

088

bplusmn002004

cplusmn002

ND

ND

NS

pp1015840-D

DE

ND

ND

006

bplusmn001791

aplusmn004151

bplusmn002037

bplusmn008501

aplusmn151013

bplusmn015035

bplusmn031

ND

NS

op1015840-D

DD

002

bplusmn001

ND

ND

518

aplusmn003

ND

ND

009

bplusmn002

001

bplusmn001

ND

ND

NS

pp1015840-D

DD

131

bplusmn008

ND

001

bplusmn0011028aplusmn001

ND

ND

148

bplusmn017013

bplusmn011

ND

ND

NS

pp1015840-D

DT

174

aplusmn001011

bplusmn000

001

bplusmn001115

bplusmn015

ND

002

bplusmn002018

bplusmn006043

bplusmn001

ND

ND

NS

Dieldrin

456

bplusmn002057

cplusmn006303

cbplusmn003882

aplusmn004099

cbplusmn053012

cplusmn006046

cplusmn003061

cplusmn011343

cbplusmn001007

cplusmn003

NS

Endrin

ND

ND

001

bplusmn001443

aplusmn004

ND

ND

032

bplusmn001012

bplusmn001

ND

ND

NS

lowastDatainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNSno

sampleNDnot

detected

4 ISRN Soil Science

Table4Meanconcentration(120583gg)

ofOCP

sinsedimentsam

ples

ofsomer

iversinOnd

oStated

uringthed

ryseason

Analytes

Agoo

Ose

Ala

Oluwa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oHCB

189

bplusmn005

ND

051

bplusmn0062518aplusmn305605

bplusmn002033

bplusmn012469

bplusmn153

NS

NS

ND

004

bplusmn003

120572-BHC

503

baplusmn002

ND

095

cplusmn008

001

cplusmn001232

bcplusmn153018

cplusmn003807

aplusmn300

NS

NS

ND

005

cplusmn001

120573-BHC

460

bplusmn022051

bplusmn077326

bplusmn005

001

bplusmn001010

bplusmn006131

bplusmn0061091aplusmn666

NS

NS

ND

014

bplusmn011

120574-BHC

405

bplusmn001

ND

022

bplusmn004

001

bplusmn001908

aplusmn002093

bplusmn008389

bplusmn004

NS

NS

ND

005

bplusmn001

Heptachlor

ND

bND

ND

ND

ND

ND

ND

NS

NS

ND

ND

Aldrin

655

aplusmn002

ND

003

bplusmn001

001

aplusmn001005

bplusmn003080

bplusmn037139

bplusmn005

NS

NS

ND

010

bplusmn007

Trans-chlordane264

bplusmn001

ND

380

bplusmn0038132aplusmn706026

bplusmn006047

bplusmn011288

bplusmn153

NS

NS058

bplusmn008039

bplusmn006

Cis-chlordane344

bplusmn002199

cbplusmn005020

cplusmn007106

cbplusmn003699

aplusmn005228

cbplusmn103023

cplusmn015

NS

NS103

cbplusmn100003

cplusmn001

120572-end

osulfan344

bplusmn002199

cbplusmn001020

cplusmn008106

cbplusmn003699

aplusmn002228

cbplusmn153023

cplusmn015

NS

NS103

cbplusmn071003

cplusmn001

120573-end

osulfan136

bplusmn001

ND

584

aplusmn100704

aplusmn002198

bplusmn001080

bplusmn069009

bplusmn007

NS

NS

001

bplusmn001008

bplusmn002

pp1015840-D

DE

1789aplusmn003775

bplusmn066326

bplusmn005279

bplusmn004121

bplusmn115337

bplusmn3081904aplusmn125

NS

NS008

bplusmn003019

bplusmn015

op1015840-D

DD

312

bplusmn109

ND

ND

1115aplusmn136009

bplusmn003025

bplusmn009954

aplusmn410

NS

NS

001

bplusmn001009

bplusmn007

pp1015840-D

DD

205

bplusmn001

ND

705

bplusmn0135740aplusmn676006

bplusmn005154

bplusmn136074

bplusmn016

NS

NS

001

bplusmn001008

bplusmn007

Dieldrin

238

cbplusmn001239

cbplusmn001762

aplusmn572

001

dplusmn001013

dplusmn005313

bplusmn153018

dplusmn003

NS

NS065

cdplusmn053005

dplusmn003

Endrin

114

bplusmn005

ND

022

cplusmn0162128aplusmn317011

cplusmn003039

cplusmn012054

cplusmn015

NS

NS

ND

002

cplusmn001

lowastDatainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNSno

sampleNDnot

detected

ISRN Soil Science 5

Table5Meanconcentration(120583gL)

andseason

alvaria

tionof

organo

chlorin

ecom

poun

dsin

somer

iversinOnd

oState

Analytes

Agoo-Ile

-Oluji

Ose

Ala

OLu

wa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oDry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

HCB

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120572-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120573-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120574-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Heptachlor

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Aldrin

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

001

aplusmn001

ND

Trans-chlordane

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

034

aplusmn003

ND

ND

ND

ND

ND

ND

ND

ND

ND

Cis-chlordane

165

aplusmn001

ND

ND

ND

ND

ND

013

bplusmn009

ND

ND

ND

ND

ND

001

cplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

120572-end

osulfan

165

aplusmn001

ND

ND

ND

ND

ND

013

bplusmn002

ND

ND

ND

ND

ND001cplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

120573-end

osulfan

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DE

ND

ND

ND

ND

ND

ND

011

aplusmn003

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

opl-D

DD

ND

ND

ND

ND

ND

ND

001

aplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DD

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DT

ND

ND

ND

ND

ND

ND

002

aplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Dieldrin

ND

ND

ND

ND

107

bplusmn006

ND

151

aplusmn005

ND

ND

ND

ND

ND

ND

ND

ND025abplusmn004

ND

ND

ND

ND

ND

ND

Endrin

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Datainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNDnot

detected

6 ISRN Soil Science

Table6Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthew

etseason

OCP

sPC

BsHCB120572-BHC120573-BHC120574-BHC

HEP

TAC

HLO

RALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

096

098

099

068

099

092

minus006

minus004

086

083

099

098

001

081

099

120572-BHC

100

097

097

069

096

090

minus009

minus007

090

088

096

096

minus000

076

097

120573-BHC

100

099

072

098

092

minus009

minus007

094

092

098

099

000

078

099

120574-BHC

100

078

098

091

002

004

091

089

098

098

minus000

081

099

HEP

TACH

LOR

100

067

063

053

059

074

075

068

070

minus004

070

069

ALD

RIN

100

092

minus007

minus006

086

083

099

098

002

081

099

TRANS-CH

LORD

ANE

100

minus011

minus009

086

080

093

096

037

089

093

CIS-CH

LORD

ANE

100

092

minus011minus006

minus007

minus009minus008

017

minus008

120572-ENDOSU

LFAN

100minus009

minus003

minus006

minus007minus006

021

minus006

120573-ENDOSU

LFAN

100

098

086

092

007

071

089

PP1015840 -DDE

100

084

088

minus002

066

086

OP1015840 -DDD

100

098

002

081

099

PP1015840 -DDD

100

014

084

099

PP1015840 -DDT

100

043

001

DIELD

RIN

100

080

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

ISRN Soil Science 7

Table7Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthed

ryseason

HCB120572-BHC120573-BHC120574-BHC

HEP

TACH

LOR

ALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

013

0008

019

006

001

096

023

023

075

015

082

095

007

minus014

086

120572-BHC

100

093

064

092

063

minus005

031

031

004

090

057

minus007

063

007

016

120573-BHC

100

039

090

050

minus005

006

006

009

088

058

minus005

051

024

009

120574-BHC

100

046

039

minus008

086

086

011

045

021

minus009

037

027

minus002

HEP

TACH

LOR

100

081

minus005

021

021

013

094

048

minus005

083

030

026

ALD

RIN

100

minus004

034

034

034

076

024

minus005

098

021

041

TRANS-CH

LORD

ANE

100

003

003

076

004

075

099

003

minus009

089

CIS-CH

LORD

ANE

100

100

021

027

004

003

031

015

019

120572-ENDOSU

LFAN

100

021

027

004

003

031

015

019

120573-ENDOSU

LFAN

100

009

052

081

014

044

069

PP1015840 -DDE

100

057

003

076

025

032

OP1015840 -DDD

100

073

028

minus013

073

PP1015840 -DDD

100

003

minus002

088

PP1015840 -DDT

100

026

047

DIELD

RIN

100

minus001

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

8 ISRN Soil Science

Pitarch et al [15] Five watersheds relevant to the sustainabil-ity of the area were also monitored [15ndash17] for pesticides inSalmonid-bearing streams under the auspices of WashingtonState Departments of Ecology and Agriculture Residues oforganochlorine pesticides were investigated in the water andsurface sediments from the lower reaches of the YangtzeRiver to evaluate their pollution and potential risksThe studyreported that there was no obvious trend of declining DDTconcentrations in the sediments from the river [18]

Theneed for pesticide regulation and enforcement of suchwith respect to pest management safeguarding users andconsumersrsquo health and the protection of the environmentis a task that must be achieved In Nigeria apart from thenational guidelines and standards for industrial effluentsgaseous emission and hazardous wastes [19] the NationalAgency for Food and Drugs Administration and Control(NAFDAC) also made the Pesticide Registration Regulation1996 under Decree 15 of the Federal Republic of Nigeria 1993The law made application for the registration of pesticidescompulsory with prescribed guidelines The regulation spec-ified that ldquoNo pesticide shall be manufactured formulatedimported advertised sold or distributed in Nigeria unlessit has been registered in accordance with the provisions ofthese Regulationsrdquo [20] In spite of the laudable provisionslack of enforcement of the law by the regulatory agencystill makes the containment of the risk associated with theuse of pesticides an elusive task in Nigeria The marketingof pesticides in Nigeria is very much unorganized andlacks proper legislative control This has made it difficultto determine the various market sizes types and sharesof pesticides in use Hence there is no dependable officialstatistics on the type and amount of pesticides imported intothe country [21] However environmental pollution controlis just beginning to receive the desired attention in NigeriaAn important component of this is in the reliable informationon the levels of key pollutants in different media and settingsin the country Akinnifesi et al [22] investigated the physic-chemical characteristics of soils in the main cocoa producingarea of Ondo state and found that fungicide residues causeda significant increase in soil acidity organic matter andcopper concentrations The general occurrence persistenceand consequences in the environment of OCPs and thefact that it is inevitable that persistent organic pollutants(POPs) contaminated sites will continue to represent anenvironmental issue for contemporary and future generationsto address [23] make it important to determine their levels insome areas of likely predominance

Ondo State is a major cocoa producing area in NigeriaIn addition to supplying much-needed raw materials forsome local industries cocoa export is an important source offoreign exchange earnings for the country In Nigeria thereseems to be paucity of data on the monitoring of pesticideresidues in the country Cocoa farmers in Nigeria have along history of pesticide usage on their farms Cocoa beinga plantation crop had been subjected to large volume ofinsecticides annually since 1957 especially for the controlof the brown cacao mirid Sahlbergella singularis Haglund[20 21] Hence this study is designed to provide informationon the levels of OCPs in the sediments and surface water

from rivers that flow through the main cocoa-producingareas of Ondo State of Nigeria where the cocoa farmers haveemployed pesticide spraying operations on their cocoa farms

2 Materials and Methods

21 Sample Collection Preservation Preparation and Storage

211 Sampling Sites Sediment and water samples of riversin some cocoa producing areas of Ondo State Nigeriawere collected as shown in Figure 1 These rivers includedOluwaOwena-OsunOwena-OndoOseOgbese Ala AgooAponmu Oni Opa and Osun Opa and Osun rivers weresampled where there was no cocoa plantation to serve ascontrols

212 Water samples Grab sampling technique was used tocollect six core surface water samples randomly which washomogenized to form a composite sample (25 L) per riverEach was replicated thrice per season to give a total of 66samples Concentrated sulphuric acid (50mL) was addedto each of the samples immediately after the collection toprevent microbial degradation of samples The samples werekept cool during transportation to the laboratory and thenstored at 4∘C in a refrigerator until analysed

213 Sediment Samples Sediment samples were collectedfrom the 0ndash3 cm depth from the same site as water sampleswrapped up in aluminium foil and then put in a polyethylenebag Samples were kept cool during transportation to thelaboratory At the laboratory they were freeze-dried prior tosample preparation and analysis Sediment samples were laterthawed and air-dried at ambient temperature The compositedried sediment samples were processed through 20mmstainless steel sieve The less than 63 120583m soil samples wereprepared using the 63120583mstainless steel sieve prior to analysis

22 Extraction of OCPs from the Sediment and Surface WaterSamples The sample cell was packed with some glass-woolafter which 3 g sediment samples fortified with pesticidesstandards in the concentration range of 1ndash50 ppm and with500120583Lmodifier (methanolacetonemixture ratio 2 3) spikedonto the sediment was introduced and glass-wool was addedto fill the cell completely The cell was pressurized to 300 barat 60∘C with SC-CO2 (density = 0872 gmL)

The pressure was maintained for 20min (static extrac-tion) and dynamic extraction was carried out for another30minThe extract was collected into a glass tube containing5mL acetone and then concentrated to about 2mL on avacuum rotary evaporator

The extraction chamber was depressurized according tothe equipment manual The reduced extract was taken forGC-ECDanalysis Triplicate analyses of the sediment samplesfrom each study site were carried out The same procedureabove was used to extract OCPs from raw sediment samples

However standard liquidliquid extraction method wasused to isolate the OCPs from both raw and spiked surfacewater samples as suggested by Fatoki and Awofolu [24] The

ISRN Soil Science 9

Control pointsSample pointsPlantations

RiversState boundary

7∘09984000998400998400N

6∘09984000998400998400N

7∘09984000998400998400N

6∘09984000998400998400N

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

377 55 15 225 30Kilometers

0

N

Figure 1 Map of the study area showing the geographical locations of sampling points

reduced extracts were taken for GC-ECD analyses Triplicateanalyses of the water samples from each study site were done

23 Gas Chromatographic Analysis of Extracts from SedimentandWater Samples Onemicrolitre each of processed sampleforGCanalysis was injected in turns into theGC-ECD systemXL PerkinElmer used in a split less mode and equippedwith a 63Ni electron capture detector column Zebron ZB35 fused silica capillary column 30 cm times 025mm times025 120583m (film thickness) for analyses The injector anddetector temperatures were maintained at 250∘C and 300∘Crespectively The oven temperature was initially maintainedat 50∘C (hold 1min) ramped to 200∘C at 40∘Cmin (hold2min) ramped to 240∘C at 4∘Cmin (hold 1min) and finallyramped to 270∘C at 4∘Cmin (hold 5min) The carrier gaswas 99999 nitrogen gasThe carrier gas flow rate was 14 psifor optimum performance The extraction efficiencies at thedifferent temperature were determined by comparison of thepeak areas sample extract with those of the pesticide standard

mixture The response factors were determined according tostandard method [25] 2

3

4

The result of the GC-ECD determination of the OC stan-dard mixture and the calculated response factors is presentedin Table 1 All the 22 compounds were well resolved andeluted within a reasonable time of less than 30 minutes underthe optimized gas chromatograph-electron capture detector(GC-ECD) conditions The identities of the OCPs in sampleextracts were confirmed by spiking and comparing theirretention times with those of standards and concentrationswere determined by computer calculation making use ofboth the response factors of the OCPs and the internalstandard The sample clean-up techniques achieved highanalyte recoveries of 9817 plusmn 003 to 13472 plusmn 002 for SFEand 8482 plusmn 332 to 10283 plusmn 317 for LLE with RSD of lessthan 6 in both cases (Table 1) 5

24 Statistical Analysis of the Data Thevarious data obtainedwere subjected to New Duncan Multiple Range and PearsonCorrelation tests

10 ISRN Soil Science

3 Results and Discussion

Thegeographical locations of the sampling sites are presentedin Table 2 The results of various organochlorine pesticide(OCP) residues in the sediment are as presented in Tables 3and 4 on seasonal basis Low concentrations of OCPs wereobserved for samples taken during the wet season relativeto those for the dry season This is expected because of thedilution at the former season and the fact that the transportand dispersion of pollutants in the aquatic environment iscontrolled by advection (mass movement) and mixing ordiffusion [26] In the sediment samples all the analytes exceptheptachlor which was not detected (lt002 120583gg detectionlimit) were found at appreciably higher concentration withthe following ranges (120583gg) HCB (NDmdash2518 plusmn 305) 120572-BHC (NDmdash807 plusmn 300) 120573-BHC (NDmdash1091 plusmn 666)120574-BHC (NDmdash908 plusmn 002) aldrin (NDmdash655 plusmn 002)Trans-chlordane (NDmdash8132 plusmn 706) Cis-chlordane (003 plusmn001ndash699 plusmn 005) 120572-endosulphan (003 plusmn 001ndash699 plusmn002) 120573-endosulphan (NDmdash704 plusmn 002) pp1015840-DDE (008 plusmn003ndash1904 plusmn 125) op1015840-DDD (NDmdash1115 plusmn 136) pp1015840-DDD (NDmdash5740 plusmn 676) dieldrin (001 plusmn 001ndash762 plusmn 572)and endrin (NDmdash2128 plusmn 317) in almost all the rivers inthe dry season (Table 4) than the range (120583gg) in the wetseason HCB (NDmdash555 plusmn 001) 120572-BHC (NDmdash099 plusmn 003)120573-BHC (NDmdash725 plusmn 001) 120574-BHC (NDmdash528 plusmn 001) hep-tachlor (NDmdash116 plusmn 001) aldrin (NDmdash276 plusmn 002) Trans-chlordane (NDmdash458 plusmn 003) Cis-chlordane (NDmdash299 plusmn061) 120572-endosulphan (NDmdash212 plusmn 019) 120573-endosulphan(NDmdash150 plusmn 001) p p1015840-DDE (NDmdash791 plusmn 004) op1015840-DDD (NDmdash518 plusmn 003) pp1015840-DDD (NDmdash1028 plusmn 001)dieldrin (007 plusmn 003ndash882 plusmn 004) and endrin (NDmdash443 plusmn004) (Table 3) The high concentration of pp1015840-DDT (174 plusmn001) 120583gg in sediments from Agoo River compared to theother DDTmetabolites suggests an indication of recent usageof DDT (probably with different trade name) in the studyarea more so that at the time of sampling Agoo Rivera farmer was spraying a cocoa plantation adjacent to theriver Some of the pesticides detected in the sedimentssuch as chlordane heptachlor DDT DDE and endosulfanare known to have endocrine and estrogenic disruptingproperties [27] whichmay greatly impact on the biodiversityof the aquatic ecosystem The presence of DDT (Table 3)and some of its degradation residues in the matrix can beattributed to their wide usage before their banning [28] Sincethey are persistent enough and degrade slowly and easilyaccumulate in the soil the transportation of these pesticidesboth sorbed onto solids and dissolved by the surface waterdown to the water sources is expected [29] The persistenthalf-life of DDT in aquatic environments has been suggestedto be approximately 5 years [30] 10ndash20 years (estimated fromstudies) in bivalves [31] As various DDT metabolites persistfor a long time in the environment their gradual degradationoccurs under aerobic conditions as DDE and as DDD [32]6

7Table 5 shows the results of the determination of

organochlorine pesticide (OCP) residues in water samplesfrom various rivers on seasonal basis It has been observedthat the concentrations of analytes were very low in the

water samples (Table 5) compared to their concentrations insediment samples (Tables 3 and 4) in both dry andwet seasonThese results prove that these compounds are not hydrophilicand tend to accumulate in sediment and subsequently in fattytissue of organisms [33 34] Levels of OCPs in the surfacewater samples from all the rivers in the study area were intrace concentration (lt001 120583gL detection limit) for the wetseason analyses However some elevated levels (Table 5) of034 120583gL of trans-chlordane in Aponmu River 151 011 013and 013 120583gL of Dieldrin pp1015840-DDE cis-chlordane and 120572-endosulphan respectively in Oluwa River elevated levelsof 165 and 165 120583gL of cis-chlordane and 120572-endosulfanrespectively in Agoo River gave cause for concern Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte detectedOluwa River appeared to be the most contaminated Othercompounds were not detected because these compoundsare hydrophobic and tend to accumulate in fatty tissue oforganisms and sediment 8

9The result for dry season analyses also indicated that the

concentration ofmost of the analytes is at trace concentrationexcept for trans-chloride (034 120583gL) cis-chlordane and 120572-endosulphan (001 120583gL each) which are detected inAponmuriver and those detected in Oluwa River cis-chlordane and120572-endosulphan (013 120583gL) pp1015840-DDE (011 120583gL) op1015840-DDD(001120583gL) pp1015840-DDT (002 120583gL) and dieldrin (151 120583gL)The concentration of cis-chlordane and 120572-endosulphan inAgoo River at Ile-Oluji was 165 120583gL The amount of aldrinin Owena river at Owena-Ondo was 001120583gL 10

It was not surprising to detect DDT in water samples ofOluwa River in Ondo State DDE which is the most oftenrecognized metabolite of the DDT is a very less degradablecompound Another major reason of the presence of DDDin the river despite the fact that its production is completelybanned in the world is due to the fact that DDD wasproduced and sold by another name ldquoRothanerdquo for severalyears [28] The results showed that the concentrations ofmost of the organochlorine compounds analyzed were belowthe maximum acceptable concentration of 01120583gL value setby the European Union (EU) for the protection of aquaticenvironment 11

31 Statistical Analysis There is no significant difference inthe mean concentrations of most of the analytes detected inwater and sediment in the results of Duncan multiple rangetests (Tables 3 4 and 5)The correlation tests (Table 6) carriedout for sediment for wet season analysis revealed that most ofthe organochlorine compounds correlate positively (071 le119903 le 100)with each other at probability level of 00001while op1015840-DDD pp1015840-DDD were negatively correlated at probabilityrange of 003 to 089 However dieldrin had very low butpositive correlation within the probability range of 00158to 02371 There were strong correlations (Table 7) betweenhexachlorobenzene (HCB) and trans-chlordane (119903 = 096)120573-endosulphan (119903 = 075) op-DDD (119903 = 082) pp-DDD(119903 = 095) endrin (119903 = 086) 12

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

4 ISRN Soil Science

Table4Meanconcentration(120583gg)

ofOCP

sinsedimentsam

ples

ofsomer

iversinOnd

oStated

uringthed

ryseason

Analytes

Agoo

Ose

Ala

Oluwa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oHCB

189

bplusmn005

ND

051

bplusmn0062518aplusmn305605

bplusmn002033

bplusmn012469

bplusmn153

NS

NS

ND

004

bplusmn003

120572-BHC

503

baplusmn002

ND

095

cplusmn008

001

cplusmn001232

bcplusmn153018

cplusmn003807

aplusmn300

NS

NS

ND

005

cplusmn001

120573-BHC

460

bplusmn022051

bplusmn077326

bplusmn005

001

bplusmn001010

bplusmn006131

bplusmn0061091aplusmn666

NS

NS

ND

014

bplusmn011

120574-BHC

405

bplusmn001

ND

022

bplusmn004

001

bplusmn001908

aplusmn002093

bplusmn008389

bplusmn004

NS

NS

ND

005

bplusmn001

Heptachlor

ND

bND

ND

ND

ND

ND

ND

NS

NS

ND

ND

Aldrin

655

aplusmn002

ND

003

bplusmn001

001

aplusmn001005

bplusmn003080

bplusmn037139

bplusmn005

NS

NS

ND

010

bplusmn007

Trans-chlordane264

bplusmn001

ND

380

bplusmn0038132aplusmn706026

bplusmn006047

bplusmn011288

bplusmn153

NS

NS058

bplusmn008039

bplusmn006

Cis-chlordane344

bplusmn002199

cbplusmn005020

cplusmn007106

cbplusmn003699

aplusmn005228

cbplusmn103023

cplusmn015

NS

NS103

cbplusmn100003

cplusmn001

120572-end

osulfan344

bplusmn002199

cbplusmn001020

cplusmn008106

cbplusmn003699

aplusmn002228

cbplusmn153023

cplusmn015

NS

NS103

cbplusmn071003

cplusmn001

120573-end

osulfan136

bplusmn001

ND

584

aplusmn100704

aplusmn002198

bplusmn001080

bplusmn069009

bplusmn007

NS

NS

001

bplusmn001008

bplusmn002

pp1015840-D

DE

1789aplusmn003775

bplusmn066326

bplusmn005279

bplusmn004121

bplusmn115337

bplusmn3081904aplusmn125

NS

NS008

bplusmn003019

bplusmn015

op1015840-D

DD

312

bplusmn109

ND

ND

1115aplusmn136009

bplusmn003025

bplusmn009954

aplusmn410

NS

NS

001

bplusmn001009

bplusmn007

pp1015840-D

DD

205

bplusmn001

ND

705

bplusmn0135740aplusmn676006

bplusmn005154

bplusmn136074

bplusmn016

NS

NS

001

bplusmn001008

bplusmn007

Dieldrin

238

cbplusmn001239

cbplusmn001762

aplusmn572

001

dplusmn001013

dplusmn005313

bplusmn153018

dplusmn003

NS

NS065

cdplusmn053005

dplusmn003

Endrin

114

bplusmn005

ND

022

cplusmn0162128aplusmn317011

cplusmn003039

cplusmn012054

cplusmn015

NS

NS

ND

002

cplusmn001

lowastDatainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNSno

sampleNDnot

detected

ISRN Soil Science 5

Table5Meanconcentration(120583gL)

andseason

alvaria

tionof

organo

chlorin

ecom

poun

dsin

somer

iversinOnd

oState

Analytes

Agoo-Ile

-Oluji

Ose

Ala

OLu

wa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oDry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

HCB

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120572-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120573-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120574-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Heptachlor

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Aldrin

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

001

aplusmn001

ND

Trans-chlordane

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

034

aplusmn003

ND

ND

ND

ND

ND

ND

ND

ND

ND

Cis-chlordane

165

aplusmn001

ND

ND

ND

ND

ND

013

bplusmn009

ND

ND

ND

ND

ND

001

cplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

120572-end

osulfan

165

aplusmn001

ND

ND

ND

ND

ND

013

bplusmn002

ND

ND

ND

ND

ND001cplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

120573-end

osulfan

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DE

ND

ND

ND

ND

ND

ND

011

aplusmn003

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

opl-D

DD

ND

ND

ND

ND

ND

ND

001

aplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DD

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DT

ND

ND

ND

ND

ND

ND

002

aplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Dieldrin

ND

ND

ND

ND

107

bplusmn006

ND

151

aplusmn005

ND

ND

ND

ND

ND

ND

ND

ND025abplusmn004

ND

ND

ND

ND

ND

ND

Endrin

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Datainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNDnot

detected

6 ISRN Soil Science

Table6Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthew

etseason

OCP

sPC

BsHCB120572-BHC120573-BHC120574-BHC

HEP

TAC

HLO

RALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

096

098

099

068

099

092

minus006

minus004

086

083

099

098

001

081

099

120572-BHC

100

097

097

069

096

090

minus009

minus007

090

088

096

096

minus000

076

097

120573-BHC

100

099

072

098

092

minus009

minus007

094

092

098

099

000

078

099

120574-BHC

100

078

098

091

002

004

091

089

098

098

minus000

081

099

HEP

TACH

LOR

100

067

063

053

059

074

075

068

070

minus004

070

069

ALD

RIN

100

092

minus007

minus006

086

083

099

098

002

081

099

TRANS-CH

LORD

ANE

100

minus011

minus009

086

080

093

096

037

089

093

CIS-CH

LORD

ANE

100

092

minus011minus006

minus007

minus009minus008

017

minus008

120572-ENDOSU

LFAN

100minus009

minus003

minus006

minus007minus006

021

minus006

120573-ENDOSU

LFAN

100

098

086

092

007

071

089

PP1015840 -DDE

100

084

088

minus002

066

086

OP1015840 -DDD

100

098

002

081

099

PP1015840 -DDD

100

014

084

099

PP1015840 -DDT

100

043

001

DIELD

RIN

100

080

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

ISRN Soil Science 7

Table7Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthed

ryseason

HCB120572-BHC120573-BHC120574-BHC

HEP

TACH

LOR

ALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

013

0008

019

006

001

096

023

023

075

015

082

095

007

minus014

086

120572-BHC

100

093

064

092

063

minus005

031

031

004

090

057

minus007

063

007

016

120573-BHC

100

039

090

050

minus005

006

006

009

088

058

minus005

051

024

009

120574-BHC

100

046

039

minus008

086

086

011

045

021

minus009

037

027

minus002

HEP

TACH

LOR

100

081

minus005

021

021

013

094

048

minus005

083

030

026

ALD

RIN

100

minus004

034

034

034

076

024

minus005

098

021

041

TRANS-CH

LORD

ANE

100

003

003

076

004

075

099

003

minus009

089

CIS-CH

LORD

ANE

100

100

021

027

004

003

031

015

019

120572-ENDOSU

LFAN

100

021

027

004

003

031

015

019

120573-ENDOSU

LFAN

100

009

052

081

014

044

069

PP1015840 -DDE

100

057

003

076

025

032

OP1015840 -DDD

100

073

028

minus013

073

PP1015840 -DDD

100

003

minus002

088

PP1015840 -DDT

100

026

047

DIELD

RIN

100

minus001

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

8 ISRN Soil Science

Pitarch et al [15] Five watersheds relevant to the sustainabil-ity of the area were also monitored [15ndash17] for pesticides inSalmonid-bearing streams under the auspices of WashingtonState Departments of Ecology and Agriculture Residues oforganochlorine pesticides were investigated in the water andsurface sediments from the lower reaches of the YangtzeRiver to evaluate their pollution and potential risksThe studyreported that there was no obvious trend of declining DDTconcentrations in the sediments from the river [18]

Theneed for pesticide regulation and enforcement of suchwith respect to pest management safeguarding users andconsumersrsquo health and the protection of the environmentis a task that must be achieved In Nigeria apart from thenational guidelines and standards for industrial effluentsgaseous emission and hazardous wastes [19] the NationalAgency for Food and Drugs Administration and Control(NAFDAC) also made the Pesticide Registration Regulation1996 under Decree 15 of the Federal Republic of Nigeria 1993The law made application for the registration of pesticidescompulsory with prescribed guidelines The regulation spec-ified that ldquoNo pesticide shall be manufactured formulatedimported advertised sold or distributed in Nigeria unlessit has been registered in accordance with the provisions ofthese Regulationsrdquo [20] In spite of the laudable provisionslack of enforcement of the law by the regulatory agencystill makes the containment of the risk associated with theuse of pesticides an elusive task in Nigeria The marketingof pesticides in Nigeria is very much unorganized andlacks proper legislative control This has made it difficultto determine the various market sizes types and sharesof pesticides in use Hence there is no dependable officialstatistics on the type and amount of pesticides imported intothe country [21] However environmental pollution controlis just beginning to receive the desired attention in NigeriaAn important component of this is in the reliable informationon the levels of key pollutants in different media and settingsin the country Akinnifesi et al [22] investigated the physic-chemical characteristics of soils in the main cocoa producingarea of Ondo state and found that fungicide residues causeda significant increase in soil acidity organic matter andcopper concentrations The general occurrence persistenceand consequences in the environment of OCPs and thefact that it is inevitable that persistent organic pollutants(POPs) contaminated sites will continue to represent anenvironmental issue for contemporary and future generationsto address [23] make it important to determine their levels insome areas of likely predominance

Ondo State is a major cocoa producing area in NigeriaIn addition to supplying much-needed raw materials forsome local industries cocoa export is an important source offoreign exchange earnings for the country In Nigeria thereseems to be paucity of data on the monitoring of pesticideresidues in the country Cocoa farmers in Nigeria have along history of pesticide usage on their farms Cocoa beinga plantation crop had been subjected to large volume ofinsecticides annually since 1957 especially for the controlof the brown cacao mirid Sahlbergella singularis Haglund[20 21] Hence this study is designed to provide informationon the levels of OCPs in the sediments and surface water

from rivers that flow through the main cocoa-producingareas of Ondo State of Nigeria where the cocoa farmers haveemployed pesticide spraying operations on their cocoa farms

2 Materials and Methods

21 Sample Collection Preservation Preparation and Storage

211 Sampling Sites Sediment and water samples of riversin some cocoa producing areas of Ondo State Nigeriawere collected as shown in Figure 1 These rivers includedOluwaOwena-OsunOwena-OndoOseOgbese Ala AgooAponmu Oni Opa and Osun Opa and Osun rivers weresampled where there was no cocoa plantation to serve ascontrols

212 Water samples Grab sampling technique was used tocollect six core surface water samples randomly which washomogenized to form a composite sample (25 L) per riverEach was replicated thrice per season to give a total of 66samples Concentrated sulphuric acid (50mL) was addedto each of the samples immediately after the collection toprevent microbial degradation of samples The samples werekept cool during transportation to the laboratory and thenstored at 4∘C in a refrigerator until analysed

213 Sediment Samples Sediment samples were collectedfrom the 0ndash3 cm depth from the same site as water sampleswrapped up in aluminium foil and then put in a polyethylenebag Samples were kept cool during transportation to thelaboratory At the laboratory they were freeze-dried prior tosample preparation and analysis Sediment samples were laterthawed and air-dried at ambient temperature The compositedried sediment samples were processed through 20mmstainless steel sieve The less than 63 120583m soil samples wereprepared using the 63120583mstainless steel sieve prior to analysis

22 Extraction of OCPs from the Sediment and Surface WaterSamples The sample cell was packed with some glass-woolafter which 3 g sediment samples fortified with pesticidesstandards in the concentration range of 1ndash50 ppm and with500120583Lmodifier (methanolacetonemixture ratio 2 3) spikedonto the sediment was introduced and glass-wool was addedto fill the cell completely The cell was pressurized to 300 barat 60∘C with SC-CO2 (density = 0872 gmL)

The pressure was maintained for 20min (static extrac-tion) and dynamic extraction was carried out for another30minThe extract was collected into a glass tube containing5mL acetone and then concentrated to about 2mL on avacuum rotary evaporator

The extraction chamber was depressurized according tothe equipment manual The reduced extract was taken forGC-ECDanalysis Triplicate analyses of the sediment samplesfrom each study site were carried out The same procedureabove was used to extract OCPs from raw sediment samples

However standard liquidliquid extraction method wasused to isolate the OCPs from both raw and spiked surfacewater samples as suggested by Fatoki and Awofolu [24] The

ISRN Soil Science 9

Control pointsSample pointsPlantations

RiversState boundary

7∘09984000998400998400N

6∘09984000998400998400N

7∘09984000998400998400N

6∘09984000998400998400N

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

377 55 15 225 30Kilometers

0

N

Figure 1 Map of the study area showing the geographical locations of sampling points

reduced extracts were taken for GC-ECD analyses Triplicateanalyses of the water samples from each study site were done

23 Gas Chromatographic Analysis of Extracts from SedimentandWater Samples Onemicrolitre each of processed sampleforGCanalysis was injected in turns into theGC-ECD systemXL PerkinElmer used in a split less mode and equippedwith a 63Ni electron capture detector column Zebron ZB35 fused silica capillary column 30 cm times 025mm times025 120583m (film thickness) for analyses The injector anddetector temperatures were maintained at 250∘C and 300∘Crespectively The oven temperature was initially maintainedat 50∘C (hold 1min) ramped to 200∘C at 40∘Cmin (hold2min) ramped to 240∘C at 4∘Cmin (hold 1min) and finallyramped to 270∘C at 4∘Cmin (hold 5min) The carrier gaswas 99999 nitrogen gasThe carrier gas flow rate was 14 psifor optimum performance The extraction efficiencies at thedifferent temperature were determined by comparison of thepeak areas sample extract with those of the pesticide standard

mixture The response factors were determined according tostandard method [25] 2

3

4

The result of the GC-ECD determination of the OC stan-dard mixture and the calculated response factors is presentedin Table 1 All the 22 compounds were well resolved andeluted within a reasonable time of less than 30 minutes underthe optimized gas chromatograph-electron capture detector(GC-ECD) conditions The identities of the OCPs in sampleextracts were confirmed by spiking and comparing theirretention times with those of standards and concentrationswere determined by computer calculation making use ofboth the response factors of the OCPs and the internalstandard The sample clean-up techniques achieved highanalyte recoveries of 9817 plusmn 003 to 13472 plusmn 002 for SFEand 8482 plusmn 332 to 10283 plusmn 317 for LLE with RSD of lessthan 6 in both cases (Table 1) 5

24 Statistical Analysis of the Data Thevarious data obtainedwere subjected to New Duncan Multiple Range and PearsonCorrelation tests

10 ISRN Soil Science

3 Results and Discussion

Thegeographical locations of the sampling sites are presentedin Table 2 The results of various organochlorine pesticide(OCP) residues in the sediment are as presented in Tables 3and 4 on seasonal basis Low concentrations of OCPs wereobserved for samples taken during the wet season relativeto those for the dry season This is expected because of thedilution at the former season and the fact that the transportand dispersion of pollutants in the aquatic environment iscontrolled by advection (mass movement) and mixing ordiffusion [26] In the sediment samples all the analytes exceptheptachlor which was not detected (lt002 120583gg detectionlimit) were found at appreciably higher concentration withthe following ranges (120583gg) HCB (NDmdash2518 plusmn 305) 120572-BHC (NDmdash807 plusmn 300) 120573-BHC (NDmdash1091 plusmn 666)120574-BHC (NDmdash908 plusmn 002) aldrin (NDmdash655 plusmn 002)Trans-chlordane (NDmdash8132 plusmn 706) Cis-chlordane (003 plusmn001ndash699 plusmn 005) 120572-endosulphan (003 plusmn 001ndash699 plusmn002) 120573-endosulphan (NDmdash704 plusmn 002) pp1015840-DDE (008 plusmn003ndash1904 plusmn 125) op1015840-DDD (NDmdash1115 plusmn 136) pp1015840-DDD (NDmdash5740 plusmn 676) dieldrin (001 plusmn 001ndash762 plusmn 572)and endrin (NDmdash2128 plusmn 317) in almost all the rivers inthe dry season (Table 4) than the range (120583gg) in the wetseason HCB (NDmdash555 plusmn 001) 120572-BHC (NDmdash099 plusmn 003)120573-BHC (NDmdash725 plusmn 001) 120574-BHC (NDmdash528 plusmn 001) hep-tachlor (NDmdash116 plusmn 001) aldrin (NDmdash276 plusmn 002) Trans-chlordane (NDmdash458 plusmn 003) Cis-chlordane (NDmdash299 plusmn061) 120572-endosulphan (NDmdash212 plusmn 019) 120573-endosulphan(NDmdash150 plusmn 001) p p1015840-DDE (NDmdash791 plusmn 004) op1015840-DDD (NDmdash518 plusmn 003) pp1015840-DDD (NDmdash1028 plusmn 001)dieldrin (007 plusmn 003ndash882 plusmn 004) and endrin (NDmdash443 plusmn004) (Table 3) The high concentration of pp1015840-DDT (174 plusmn001) 120583gg in sediments from Agoo River compared to theother DDTmetabolites suggests an indication of recent usageof DDT (probably with different trade name) in the studyarea more so that at the time of sampling Agoo Rivera farmer was spraying a cocoa plantation adjacent to theriver Some of the pesticides detected in the sedimentssuch as chlordane heptachlor DDT DDE and endosulfanare known to have endocrine and estrogenic disruptingproperties [27] whichmay greatly impact on the biodiversityof the aquatic ecosystem The presence of DDT (Table 3)and some of its degradation residues in the matrix can beattributed to their wide usage before their banning [28] Sincethey are persistent enough and degrade slowly and easilyaccumulate in the soil the transportation of these pesticidesboth sorbed onto solids and dissolved by the surface waterdown to the water sources is expected [29] The persistenthalf-life of DDT in aquatic environments has been suggestedto be approximately 5 years [30] 10ndash20 years (estimated fromstudies) in bivalves [31] As various DDT metabolites persistfor a long time in the environment their gradual degradationoccurs under aerobic conditions as DDE and as DDD [32]6

7Table 5 shows the results of the determination of

organochlorine pesticide (OCP) residues in water samplesfrom various rivers on seasonal basis It has been observedthat the concentrations of analytes were very low in the

water samples (Table 5) compared to their concentrations insediment samples (Tables 3 and 4) in both dry andwet seasonThese results prove that these compounds are not hydrophilicand tend to accumulate in sediment and subsequently in fattytissue of organisms [33 34] Levels of OCPs in the surfacewater samples from all the rivers in the study area were intrace concentration (lt001 120583gL detection limit) for the wetseason analyses However some elevated levels (Table 5) of034 120583gL of trans-chlordane in Aponmu River 151 011 013and 013 120583gL of Dieldrin pp1015840-DDE cis-chlordane and 120572-endosulphan respectively in Oluwa River elevated levelsof 165 and 165 120583gL of cis-chlordane and 120572-endosulfanrespectively in Agoo River gave cause for concern Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte detectedOluwa River appeared to be the most contaminated Othercompounds were not detected because these compoundsare hydrophobic and tend to accumulate in fatty tissue oforganisms and sediment 8

9The result for dry season analyses also indicated that the

concentration ofmost of the analytes is at trace concentrationexcept for trans-chloride (034 120583gL) cis-chlordane and 120572-endosulphan (001 120583gL each) which are detected inAponmuriver and those detected in Oluwa River cis-chlordane and120572-endosulphan (013 120583gL) pp1015840-DDE (011 120583gL) op1015840-DDD(001120583gL) pp1015840-DDT (002 120583gL) and dieldrin (151 120583gL)The concentration of cis-chlordane and 120572-endosulphan inAgoo River at Ile-Oluji was 165 120583gL The amount of aldrinin Owena river at Owena-Ondo was 001120583gL 10

It was not surprising to detect DDT in water samples ofOluwa River in Ondo State DDE which is the most oftenrecognized metabolite of the DDT is a very less degradablecompound Another major reason of the presence of DDDin the river despite the fact that its production is completelybanned in the world is due to the fact that DDD wasproduced and sold by another name ldquoRothanerdquo for severalyears [28] The results showed that the concentrations ofmost of the organochlorine compounds analyzed were belowthe maximum acceptable concentration of 01120583gL value setby the European Union (EU) for the protection of aquaticenvironment 11

31 Statistical Analysis There is no significant difference inthe mean concentrations of most of the analytes detected inwater and sediment in the results of Duncan multiple rangetests (Tables 3 4 and 5)The correlation tests (Table 6) carriedout for sediment for wet season analysis revealed that most ofthe organochlorine compounds correlate positively (071 le119903 le 100)with each other at probability level of 00001while op1015840-DDD pp1015840-DDD were negatively correlated at probabilityrange of 003 to 089 However dieldrin had very low butpositive correlation within the probability range of 00158to 02371 There were strong correlations (Table 7) betweenhexachlorobenzene (HCB) and trans-chlordane (119903 = 096)120573-endosulphan (119903 = 075) op-DDD (119903 = 082) pp-DDD(119903 = 095) endrin (119903 = 086) 12

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

ISRN Soil Science 5

Table5Meanconcentration(120583gL)

andseason

alvaria

tionof

organo

chlorin

ecom

poun

dsin

somer

iversinOnd

oState

Analytes

Agoo-Ile

-Oluji

Ose

Ala

OLu

wa

Ogbese

Oni

Apon

mu

Osun

Opa

Owena-Osun

Owena-Ond

oDry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

Dry

Wet

HCB

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120572-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120573-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

120574-BHC

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Heptachlor

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Aldrin

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

001

aplusmn001

ND

Trans-chlordane

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

034

aplusmn003

ND

ND

ND

ND

ND

ND

ND

ND

ND

Cis-chlordane

165

aplusmn001

ND

ND

ND

ND

ND

013

bplusmn009

ND

ND

ND

ND

ND

001

cplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

120572-end

osulfan

165

aplusmn001

ND

ND

ND

ND

ND

013

bplusmn002

ND

ND

ND

ND

ND001cplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

120573-end

osulfan

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DE

ND

ND

ND

ND

ND

ND

011

aplusmn003

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

opl-D

DD

ND

ND

ND

ND

ND

ND

001

aplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DD

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ppl-D

DT

ND

ND

ND

ND

ND

ND

002

aplusmn001

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Dieldrin

ND

ND

ND

ND

107

bplusmn006

ND

151

aplusmn005

ND

ND

ND

ND

ND

ND

ND

ND025abplusmn004

ND

ND

ND

ND

ND

ND

Endrin

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

ND

Datainthes

amec

olum

nfollo

wed

bythes

amea

lphabetsaren

otsig

nificantly

different

at120572=005usingthen

ewDun

canMultip

leRa

ngeT

estNDnot

detected

6 ISRN Soil Science

Table6Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthew

etseason

OCP

sPC

BsHCB120572-BHC120573-BHC120574-BHC

HEP

TAC

HLO

RALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

096

098

099

068

099

092

minus006

minus004

086

083

099

098

001

081

099

120572-BHC

100

097

097

069

096

090

minus009

minus007

090

088

096

096

minus000

076

097

120573-BHC

100

099

072

098

092

minus009

minus007

094

092

098

099

000

078

099

120574-BHC

100

078

098

091

002

004

091

089

098

098

minus000

081

099

HEP

TACH

LOR

100

067

063

053

059

074

075

068

070

minus004

070

069

ALD

RIN

100

092

minus007

minus006

086

083

099

098

002

081

099

TRANS-CH

LORD

ANE

100

minus011

minus009

086

080

093

096

037

089

093

CIS-CH

LORD

ANE

100

092

minus011minus006

minus007

minus009minus008

017

minus008

120572-ENDOSU

LFAN

100minus009

minus003

minus006

minus007minus006

021

minus006

120573-ENDOSU

LFAN

100

098

086

092

007

071

089

PP1015840 -DDE

100

084

088

minus002

066

086

OP1015840 -DDD

100

098

002

081

099

PP1015840 -DDD

100

014

084

099

PP1015840 -DDT

100

043

001

DIELD

RIN

100

080

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

ISRN Soil Science 7

Table7Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthed

ryseason

HCB120572-BHC120573-BHC120574-BHC

HEP

TACH

LOR

ALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

013

0008

019

006

001

096

023

023

075

015

082

095

007

minus014

086

120572-BHC

100

093

064

092

063

minus005

031

031

004

090

057

minus007

063

007

016

120573-BHC

100

039

090

050

minus005

006

006

009

088

058

minus005

051

024

009

120574-BHC

100

046

039

minus008

086

086

011

045

021

minus009

037

027

minus002

HEP

TACH

LOR

100

081

minus005

021

021

013

094

048

minus005

083

030

026

ALD

RIN

100

minus004

034

034

034

076

024

minus005

098

021

041

TRANS-CH

LORD

ANE

100

003

003

076

004

075

099

003

minus009

089

CIS-CH

LORD

ANE

100

100

021

027

004

003

031

015

019

120572-ENDOSU

LFAN

100

021

027

004

003

031

015

019

120573-ENDOSU

LFAN

100

009

052

081

014

044

069

PP1015840 -DDE

100

057

003

076

025

032

OP1015840 -DDD

100

073

028

minus013

073

PP1015840 -DDD

100

003

minus002

088

PP1015840 -DDT

100

026

047

DIELD

RIN

100

minus001

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

8 ISRN Soil Science

Pitarch et al [15] Five watersheds relevant to the sustainabil-ity of the area were also monitored [15ndash17] for pesticides inSalmonid-bearing streams under the auspices of WashingtonState Departments of Ecology and Agriculture Residues oforganochlorine pesticides were investigated in the water andsurface sediments from the lower reaches of the YangtzeRiver to evaluate their pollution and potential risksThe studyreported that there was no obvious trend of declining DDTconcentrations in the sediments from the river [18]

Theneed for pesticide regulation and enforcement of suchwith respect to pest management safeguarding users andconsumersrsquo health and the protection of the environmentis a task that must be achieved In Nigeria apart from thenational guidelines and standards for industrial effluentsgaseous emission and hazardous wastes [19] the NationalAgency for Food and Drugs Administration and Control(NAFDAC) also made the Pesticide Registration Regulation1996 under Decree 15 of the Federal Republic of Nigeria 1993The law made application for the registration of pesticidescompulsory with prescribed guidelines The regulation spec-ified that ldquoNo pesticide shall be manufactured formulatedimported advertised sold or distributed in Nigeria unlessit has been registered in accordance with the provisions ofthese Regulationsrdquo [20] In spite of the laudable provisionslack of enforcement of the law by the regulatory agencystill makes the containment of the risk associated with theuse of pesticides an elusive task in Nigeria The marketingof pesticides in Nigeria is very much unorganized andlacks proper legislative control This has made it difficultto determine the various market sizes types and sharesof pesticides in use Hence there is no dependable officialstatistics on the type and amount of pesticides imported intothe country [21] However environmental pollution controlis just beginning to receive the desired attention in NigeriaAn important component of this is in the reliable informationon the levels of key pollutants in different media and settingsin the country Akinnifesi et al [22] investigated the physic-chemical characteristics of soils in the main cocoa producingarea of Ondo state and found that fungicide residues causeda significant increase in soil acidity organic matter andcopper concentrations The general occurrence persistenceand consequences in the environment of OCPs and thefact that it is inevitable that persistent organic pollutants(POPs) contaminated sites will continue to represent anenvironmental issue for contemporary and future generationsto address [23] make it important to determine their levels insome areas of likely predominance

Ondo State is a major cocoa producing area in NigeriaIn addition to supplying much-needed raw materials forsome local industries cocoa export is an important source offoreign exchange earnings for the country In Nigeria thereseems to be paucity of data on the monitoring of pesticideresidues in the country Cocoa farmers in Nigeria have along history of pesticide usage on their farms Cocoa beinga plantation crop had been subjected to large volume ofinsecticides annually since 1957 especially for the controlof the brown cacao mirid Sahlbergella singularis Haglund[20 21] Hence this study is designed to provide informationon the levels of OCPs in the sediments and surface water

from rivers that flow through the main cocoa-producingareas of Ondo State of Nigeria where the cocoa farmers haveemployed pesticide spraying operations on their cocoa farms

2 Materials and Methods

21 Sample Collection Preservation Preparation and Storage

211 Sampling Sites Sediment and water samples of riversin some cocoa producing areas of Ondo State Nigeriawere collected as shown in Figure 1 These rivers includedOluwaOwena-OsunOwena-OndoOseOgbese Ala AgooAponmu Oni Opa and Osun Opa and Osun rivers weresampled where there was no cocoa plantation to serve ascontrols

212 Water samples Grab sampling technique was used tocollect six core surface water samples randomly which washomogenized to form a composite sample (25 L) per riverEach was replicated thrice per season to give a total of 66samples Concentrated sulphuric acid (50mL) was addedto each of the samples immediately after the collection toprevent microbial degradation of samples The samples werekept cool during transportation to the laboratory and thenstored at 4∘C in a refrigerator until analysed

213 Sediment Samples Sediment samples were collectedfrom the 0ndash3 cm depth from the same site as water sampleswrapped up in aluminium foil and then put in a polyethylenebag Samples were kept cool during transportation to thelaboratory At the laboratory they were freeze-dried prior tosample preparation and analysis Sediment samples were laterthawed and air-dried at ambient temperature The compositedried sediment samples were processed through 20mmstainless steel sieve The less than 63 120583m soil samples wereprepared using the 63120583mstainless steel sieve prior to analysis

22 Extraction of OCPs from the Sediment and Surface WaterSamples The sample cell was packed with some glass-woolafter which 3 g sediment samples fortified with pesticidesstandards in the concentration range of 1ndash50 ppm and with500120583Lmodifier (methanolacetonemixture ratio 2 3) spikedonto the sediment was introduced and glass-wool was addedto fill the cell completely The cell was pressurized to 300 barat 60∘C with SC-CO2 (density = 0872 gmL)

The pressure was maintained for 20min (static extrac-tion) and dynamic extraction was carried out for another30minThe extract was collected into a glass tube containing5mL acetone and then concentrated to about 2mL on avacuum rotary evaporator

The extraction chamber was depressurized according tothe equipment manual The reduced extract was taken forGC-ECDanalysis Triplicate analyses of the sediment samplesfrom each study site were carried out The same procedureabove was used to extract OCPs from raw sediment samples

However standard liquidliquid extraction method wasused to isolate the OCPs from both raw and spiked surfacewater samples as suggested by Fatoki and Awofolu [24] The

ISRN Soil Science 9

Control pointsSample pointsPlantations

RiversState boundary

7∘09984000998400998400N

6∘09984000998400998400N

7∘09984000998400998400N

6∘09984000998400998400N

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

377 55 15 225 30Kilometers

0

N

Figure 1 Map of the study area showing the geographical locations of sampling points

reduced extracts were taken for GC-ECD analyses Triplicateanalyses of the water samples from each study site were done

23 Gas Chromatographic Analysis of Extracts from SedimentandWater Samples Onemicrolitre each of processed sampleforGCanalysis was injected in turns into theGC-ECD systemXL PerkinElmer used in a split less mode and equippedwith a 63Ni electron capture detector column Zebron ZB35 fused silica capillary column 30 cm times 025mm times025 120583m (film thickness) for analyses The injector anddetector temperatures were maintained at 250∘C and 300∘Crespectively The oven temperature was initially maintainedat 50∘C (hold 1min) ramped to 200∘C at 40∘Cmin (hold2min) ramped to 240∘C at 4∘Cmin (hold 1min) and finallyramped to 270∘C at 4∘Cmin (hold 5min) The carrier gaswas 99999 nitrogen gasThe carrier gas flow rate was 14 psifor optimum performance The extraction efficiencies at thedifferent temperature were determined by comparison of thepeak areas sample extract with those of the pesticide standard

mixture The response factors were determined according tostandard method [25] 2

3

4

The result of the GC-ECD determination of the OC stan-dard mixture and the calculated response factors is presentedin Table 1 All the 22 compounds were well resolved andeluted within a reasonable time of less than 30 minutes underthe optimized gas chromatograph-electron capture detector(GC-ECD) conditions The identities of the OCPs in sampleextracts were confirmed by spiking and comparing theirretention times with those of standards and concentrationswere determined by computer calculation making use ofboth the response factors of the OCPs and the internalstandard The sample clean-up techniques achieved highanalyte recoveries of 9817 plusmn 003 to 13472 plusmn 002 for SFEand 8482 plusmn 332 to 10283 plusmn 317 for LLE with RSD of lessthan 6 in both cases (Table 1) 5

24 Statistical Analysis of the Data Thevarious data obtainedwere subjected to New Duncan Multiple Range and PearsonCorrelation tests

10 ISRN Soil Science

3 Results and Discussion

Thegeographical locations of the sampling sites are presentedin Table 2 The results of various organochlorine pesticide(OCP) residues in the sediment are as presented in Tables 3and 4 on seasonal basis Low concentrations of OCPs wereobserved for samples taken during the wet season relativeto those for the dry season This is expected because of thedilution at the former season and the fact that the transportand dispersion of pollutants in the aquatic environment iscontrolled by advection (mass movement) and mixing ordiffusion [26] In the sediment samples all the analytes exceptheptachlor which was not detected (lt002 120583gg detectionlimit) were found at appreciably higher concentration withthe following ranges (120583gg) HCB (NDmdash2518 plusmn 305) 120572-BHC (NDmdash807 plusmn 300) 120573-BHC (NDmdash1091 plusmn 666)120574-BHC (NDmdash908 plusmn 002) aldrin (NDmdash655 plusmn 002)Trans-chlordane (NDmdash8132 plusmn 706) Cis-chlordane (003 plusmn001ndash699 plusmn 005) 120572-endosulphan (003 plusmn 001ndash699 plusmn002) 120573-endosulphan (NDmdash704 plusmn 002) pp1015840-DDE (008 plusmn003ndash1904 plusmn 125) op1015840-DDD (NDmdash1115 plusmn 136) pp1015840-DDD (NDmdash5740 plusmn 676) dieldrin (001 plusmn 001ndash762 plusmn 572)and endrin (NDmdash2128 plusmn 317) in almost all the rivers inthe dry season (Table 4) than the range (120583gg) in the wetseason HCB (NDmdash555 plusmn 001) 120572-BHC (NDmdash099 plusmn 003)120573-BHC (NDmdash725 plusmn 001) 120574-BHC (NDmdash528 plusmn 001) hep-tachlor (NDmdash116 plusmn 001) aldrin (NDmdash276 plusmn 002) Trans-chlordane (NDmdash458 plusmn 003) Cis-chlordane (NDmdash299 plusmn061) 120572-endosulphan (NDmdash212 plusmn 019) 120573-endosulphan(NDmdash150 plusmn 001) p p1015840-DDE (NDmdash791 plusmn 004) op1015840-DDD (NDmdash518 plusmn 003) pp1015840-DDD (NDmdash1028 plusmn 001)dieldrin (007 plusmn 003ndash882 plusmn 004) and endrin (NDmdash443 plusmn004) (Table 3) The high concentration of pp1015840-DDT (174 plusmn001) 120583gg in sediments from Agoo River compared to theother DDTmetabolites suggests an indication of recent usageof DDT (probably with different trade name) in the studyarea more so that at the time of sampling Agoo Rivera farmer was spraying a cocoa plantation adjacent to theriver Some of the pesticides detected in the sedimentssuch as chlordane heptachlor DDT DDE and endosulfanare known to have endocrine and estrogenic disruptingproperties [27] whichmay greatly impact on the biodiversityof the aquatic ecosystem The presence of DDT (Table 3)and some of its degradation residues in the matrix can beattributed to their wide usage before their banning [28] Sincethey are persistent enough and degrade slowly and easilyaccumulate in the soil the transportation of these pesticidesboth sorbed onto solids and dissolved by the surface waterdown to the water sources is expected [29] The persistenthalf-life of DDT in aquatic environments has been suggestedto be approximately 5 years [30] 10ndash20 years (estimated fromstudies) in bivalves [31] As various DDT metabolites persistfor a long time in the environment their gradual degradationoccurs under aerobic conditions as DDE and as DDD [32]6

7Table 5 shows the results of the determination of

organochlorine pesticide (OCP) residues in water samplesfrom various rivers on seasonal basis It has been observedthat the concentrations of analytes were very low in the

water samples (Table 5) compared to their concentrations insediment samples (Tables 3 and 4) in both dry andwet seasonThese results prove that these compounds are not hydrophilicand tend to accumulate in sediment and subsequently in fattytissue of organisms [33 34] Levels of OCPs in the surfacewater samples from all the rivers in the study area were intrace concentration (lt001 120583gL detection limit) for the wetseason analyses However some elevated levels (Table 5) of034 120583gL of trans-chlordane in Aponmu River 151 011 013and 013 120583gL of Dieldrin pp1015840-DDE cis-chlordane and 120572-endosulphan respectively in Oluwa River elevated levelsof 165 and 165 120583gL of cis-chlordane and 120572-endosulfanrespectively in Agoo River gave cause for concern Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte detectedOluwa River appeared to be the most contaminated Othercompounds were not detected because these compoundsare hydrophobic and tend to accumulate in fatty tissue oforganisms and sediment 8

9The result for dry season analyses also indicated that the

concentration ofmost of the analytes is at trace concentrationexcept for trans-chloride (034 120583gL) cis-chlordane and 120572-endosulphan (001 120583gL each) which are detected inAponmuriver and those detected in Oluwa River cis-chlordane and120572-endosulphan (013 120583gL) pp1015840-DDE (011 120583gL) op1015840-DDD(001120583gL) pp1015840-DDT (002 120583gL) and dieldrin (151 120583gL)The concentration of cis-chlordane and 120572-endosulphan inAgoo River at Ile-Oluji was 165 120583gL The amount of aldrinin Owena river at Owena-Ondo was 001120583gL 10

It was not surprising to detect DDT in water samples ofOluwa River in Ondo State DDE which is the most oftenrecognized metabolite of the DDT is a very less degradablecompound Another major reason of the presence of DDDin the river despite the fact that its production is completelybanned in the world is due to the fact that DDD wasproduced and sold by another name ldquoRothanerdquo for severalyears [28] The results showed that the concentrations ofmost of the organochlorine compounds analyzed were belowthe maximum acceptable concentration of 01120583gL value setby the European Union (EU) for the protection of aquaticenvironment 11

31 Statistical Analysis There is no significant difference inthe mean concentrations of most of the analytes detected inwater and sediment in the results of Duncan multiple rangetests (Tables 3 4 and 5)The correlation tests (Table 6) carriedout for sediment for wet season analysis revealed that most ofthe organochlorine compounds correlate positively (071 le119903 le 100)with each other at probability level of 00001while op1015840-DDD pp1015840-DDD were negatively correlated at probabilityrange of 003 to 089 However dieldrin had very low butpositive correlation within the probability range of 00158to 02371 There were strong correlations (Table 7) betweenhexachlorobenzene (HCB) and trans-chlordane (119903 = 096)120573-endosulphan (119903 = 075) op-DDD (119903 = 082) pp-DDD(119903 = 095) endrin (119903 = 086) 12

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

6 ISRN Soil Science

Table6Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthew

etseason

OCP

sPC

BsHCB120572-BHC120573-BHC120574-BHC

HEP

TAC

HLO

RALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

096

098

099

068

099

092

minus006

minus004

086

083

099

098

001

081

099

120572-BHC

100

097

097

069

096

090

minus009

minus007

090

088

096

096

minus000

076

097

120573-BHC

100

099

072

098

092

minus009

minus007

094

092

098

099

000

078

099

120574-BHC

100

078

098

091

002

004

091

089

098

098

minus000

081

099

HEP

TACH

LOR

100

067

063

053

059

074

075

068

070

minus004

070

069

ALD

RIN

100

092

minus007

minus006

086

083

099

098

002

081

099

TRANS-CH

LORD

ANE

100

minus011

minus009

086

080

093

096

037

089

093

CIS-CH

LORD

ANE

100

092

minus011minus006

minus007

minus009minus008

017

minus008

120572-ENDOSU

LFAN

100minus009

minus003

minus006

minus007minus006

021

minus006

120573-ENDOSU

LFAN

100

098

086

092

007

071

089

PP1015840 -DDE

100

084

088

minus002

066

086

OP1015840 -DDD

100

098

002

081

099

PP1015840 -DDD

100

014

084

099

PP1015840 -DDT

100

043

001

DIELD

RIN

100

080

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

ISRN Soil Science 7

Table7Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthed

ryseason

HCB120572-BHC120573-BHC120574-BHC

HEP

TACH

LOR

ALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

013

0008

019

006

001

096

023

023

075

015

082

095

007

minus014

086

120572-BHC

100

093

064

092

063

minus005

031

031

004

090

057

minus007

063

007

016

120573-BHC

100

039

090

050

minus005

006

006

009

088

058

minus005

051

024

009

120574-BHC

100

046

039

minus008

086

086

011

045

021

minus009

037

027

minus002

HEP

TACH

LOR

100

081

minus005

021

021

013

094

048

minus005

083

030

026

ALD

RIN

100

minus004

034

034

034

076

024

minus005

098

021

041

TRANS-CH

LORD

ANE

100

003

003

076

004

075

099

003

minus009

089

CIS-CH

LORD

ANE

100

100

021

027

004

003

031

015

019

120572-ENDOSU

LFAN

100

021

027

004

003

031

015

019

120573-ENDOSU

LFAN

100

009

052

081

014

044

069

PP1015840 -DDE

100

057

003

076

025

032

OP1015840 -DDD

100

073

028

minus013

073

PP1015840 -DDD

100

003

minus002

088

PP1015840 -DDT

100

026

047

DIELD

RIN

100

minus001

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

8 ISRN Soil Science

Pitarch et al [15] Five watersheds relevant to the sustainabil-ity of the area were also monitored [15ndash17] for pesticides inSalmonid-bearing streams under the auspices of WashingtonState Departments of Ecology and Agriculture Residues oforganochlorine pesticides were investigated in the water andsurface sediments from the lower reaches of the YangtzeRiver to evaluate their pollution and potential risksThe studyreported that there was no obvious trend of declining DDTconcentrations in the sediments from the river [18]

Theneed for pesticide regulation and enforcement of suchwith respect to pest management safeguarding users andconsumersrsquo health and the protection of the environmentis a task that must be achieved In Nigeria apart from thenational guidelines and standards for industrial effluentsgaseous emission and hazardous wastes [19] the NationalAgency for Food and Drugs Administration and Control(NAFDAC) also made the Pesticide Registration Regulation1996 under Decree 15 of the Federal Republic of Nigeria 1993The law made application for the registration of pesticidescompulsory with prescribed guidelines The regulation spec-ified that ldquoNo pesticide shall be manufactured formulatedimported advertised sold or distributed in Nigeria unlessit has been registered in accordance with the provisions ofthese Regulationsrdquo [20] In spite of the laudable provisionslack of enforcement of the law by the regulatory agencystill makes the containment of the risk associated with theuse of pesticides an elusive task in Nigeria The marketingof pesticides in Nigeria is very much unorganized andlacks proper legislative control This has made it difficultto determine the various market sizes types and sharesof pesticides in use Hence there is no dependable officialstatistics on the type and amount of pesticides imported intothe country [21] However environmental pollution controlis just beginning to receive the desired attention in NigeriaAn important component of this is in the reliable informationon the levels of key pollutants in different media and settingsin the country Akinnifesi et al [22] investigated the physic-chemical characteristics of soils in the main cocoa producingarea of Ondo state and found that fungicide residues causeda significant increase in soil acidity organic matter andcopper concentrations The general occurrence persistenceand consequences in the environment of OCPs and thefact that it is inevitable that persistent organic pollutants(POPs) contaminated sites will continue to represent anenvironmental issue for contemporary and future generationsto address [23] make it important to determine their levels insome areas of likely predominance

Ondo State is a major cocoa producing area in NigeriaIn addition to supplying much-needed raw materials forsome local industries cocoa export is an important source offoreign exchange earnings for the country In Nigeria thereseems to be paucity of data on the monitoring of pesticideresidues in the country Cocoa farmers in Nigeria have along history of pesticide usage on their farms Cocoa beinga plantation crop had been subjected to large volume ofinsecticides annually since 1957 especially for the controlof the brown cacao mirid Sahlbergella singularis Haglund[20 21] Hence this study is designed to provide informationon the levels of OCPs in the sediments and surface water

from rivers that flow through the main cocoa-producingareas of Ondo State of Nigeria where the cocoa farmers haveemployed pesticide spraying operations on their cocoa farms

2 Materials and Methods

21 Sample Collection Preservation Preparation and Storage

211 Sampling Sites Sediment and water samples of riversin some cocoa producing areas of Ondo State Nigeriawere collected as shown in Figure 1 These rivers includedOluwaOwena-OsunOwena-OndoOseOgbese Ala AgooAponmu Oni Opa and Osun Opa and Osun rivers weresampled where there was no cocoa plantation to serve ascontrols

212 Water samples Grab sampling technique was used tocollect six core surface water samples randomly which washomogenized to form a composite sample (25 L) per riverEach was replicated thrice per season to give a total of 66samples Concentrated sulphuric acid (50mL) was addedto each of the samples immediately after the collection toprevent microbial degradation of samples The samples werekept cool during transportation to the laboratory and thenstored at 4∘C in a refrigerator until analysed

213 Sediment Samples Sediment samples were collectedfrom the 0ndash3 cm depth from the same site as water sampleswrapped up in aluminium foil and then put in a polyethylenebag Samples were kept cool during transportation to thelaboratory At the laboratory they were freeze-dried prior tosample preparation and analysis Sediment samples were laterthawed and air-dried at ambient temperature The compositedried sediment samples were processed through 20mmstainless steel sieve The less than 63 120583m soil samples wereprepared using the 63120583mstainless steel sieve prior to analysis

22 Extraction of OCPs from the Sediment and Surface WaterSamples The sample cell was packed with some glass-woolafter which 3 g sediment samples fortified with pesticidesstandards in the concentration range of 1ndash50 ppm and with500120583Lmodifier (methanolacetonemixture ratio 2 3) spikedonto the sediment was introduced and glass-wool was addedto fill the cell completely The cell was pressurized to 300 barat 60∘C with SC-CO2 (density = 0872 gmL)

The pressure was maintained for 20min (static extrac-tion) and dynamic extraction was carried out for another30minThe extract was collected into a glass tube containing5mL acetone and then concentrated to about 2mL on avacuum rotary evaporator

The extraction chamber was depressurized according tothe equipment manual The reduced extract was taken forGC-ECDanalysis Triplicate analyses of the sediment samplesfrom each study site were carried out The same procedureabove was used to extract OCPs from raw sediment samples

However standard liquidliquid extraction method wasused to isolate the OCPs from both raw and spiked surfacewater samples as suggested by Fatoki and Awofolu [24] The

ISRN Soil Science 9

Control pointsSample pointsPlantations

RiversState boundary

7∘09984000998400998400N

6∘09984000998400998400N

7∘09984000998400998400N

6∘09984000998400998400N

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

377 55 15 225 30Kilometers

0

N

Figure 1 Map of the study area showing the geographical locations of sampling points

reduced extracts were taken for GC-ECD analyses Triplicateanalyses of the water samples from each study site were done

23 Gas Chromatographic Analysis of Extracts from SedimentandWater Samples Onemicrolitre each of processed sampleforGCanalysis was injected in turns into theGC-ECD systemXL PerkinElmer used in a split less mode and equippedwith a 63Ni electron capture detector column Zebron ZB35 fused silica capillary column 30 cm times 025mm times025 120583m (film thickness) for analyses The injector anddetector temperatures were maintained at 250∘C and 300∘Crespectively The oven temperature was initially maintainedat 50∘C (hold 1min) ramped to 200∘C at 40∘Cmin (hold2min) ramped to 240∘C at 4∘Cmin (hold 1min) and finallyramped to 270∘C at 4∘Cmin (hold 5min) The carrier gaswas 99999 nitrogen gasThe carrier gas flow rate was 14 psifor optimum performance The extraction efficiencies at thedifferent temperature were determined by comparison of thepeak areas sample extract with those of the pesticide standard

mixture The response factors were determined according tostandard method [25] 2

3

4

The result of the GC-ECD determination of the OC stan-dard mixture and the calculated response factors is presentedin Table 1 All the 22 compounds were well resolved andeluted within a reasonable time of less than 30 minutes underthe optimized gas chromatograph-electron capture detector(GC-ECD) conditions The identities of the OCPs in sampleextracts were confirmed by spiking and comparing theirretention times with those of standards and concentrationswere determined by computer calculation making use ofboth the response factors of the OCPs and the internalstandard The sample clean-up techniques achieved highanalyte recoveries of 9817 plusmn 003 to 13472 plusmn 002 for SFEand 8482 plusmn 332 to 10283 plusmn 317 for LLE with RSD of lessthan 6 in both cases (Table 1) 5

24 Statistical Analysis of the Data Thevarious data obtainedwere subjected to New Duncan Multiple Range and PearsonCorrelation tests

10 ISRN Soil Science

3 Results and Discussion

Thegeographical locations of the sampling sites are presentedin Table 2 The results of various organochlorine pesticide(OCP) residues in the sediment are as presented in Tables 3and 4 on seasonal basis Low concentrations of OCPs wereobserved for samples taken during the wet season relativeto those for the dry season This is expected because of thedilution at the former season and the fact that the transportand dispersion of pollutants in the aquatic environment iscontrolled by advection (mass movement) and mixing ordiffusion [26] In the sediment samples all the analytes exceptheptachlor which was not detected (lt002 120583gg detectionlimit) were found at appreciably higher concentration withthe following ranges (120583gg) HCB (NDmdash2518 plusmn 305) 120572-BHC (NDmdash807 plusmn 300) 120573-BHC (NDmdash1091 plusmn 666)120574-BHC (NDmdash908 plusmn 002) aldrin (NDmdash655 plusmn 002)Trans-chlordane (NDmdash8132 plusmn 706) Cis-chlordane (003 plusmn001ndash699 plusmn 005) 120572-endosulphan (003 plusmn 001ndash699 plusmn002) 120573-endosulphan (NDmdash704 plusmn 002) pp1015840-DDE (008 plusmn003ndash1904 plusmn 125) op1015840-DDD (NDmdash1115 plusmn 136) pp1015840-DDD (NDmdash5740 plusmn 676) dieldrin (001 plusmn 001ndash762 plusmn 572)and endrin (NDmdash2128 plusmn 317) in almost all the rivers inthe dry season (Table 4) than the range (120583gg) in the wetseason HCB (NDmdash555 plusmn 001) 120572-BHC (NDmdash099 plusmn 003)120573-BHC (NDmdash725 plusmn 001) 120574-BHC (NDmdash528 plusmn 001) hep-tachlor (NDmdash116 plusmn 001) aldrin (NDmdash276 plusmn 002) Trans-chlordane (NDmdash458 plusmn 003) Cis-chlordane (NDmdash299 plusmn061) 120572-endosulphan (NDmdash212 plusmn 019) 120573-endosulphan(NDmdash150 plusmn 001) p p1015840-DDE (NDmdash791 plusmn 004) op1015840-DDD (NDmdash518 plusmn 003) pp1015840-DDD (NDmdash1028 plusmn 001)dieldrin (007 plusmn 003ndash882 plusmn 004) and endrin (NDmdash443 plusmn004) (Table 3) The high concentration of pp1015840-DDT (174 plusmn001) 120583gg in sediments from Agoo River compared to theother DDTmetabolites suggests an indication of recent usageof DDT (probably with different trade name) in the studyarea more so that at the time of sampling Agoo Rivera farmer was spraying a cocoa plantation adjacent to theriver Some of the pesticides detected in the sedimentssuch as chlordane heptachlor DDT DDE and endosulfanare known to have endocrine and estrogenic disruptingproperties [27] whichmay greatly impact on the biodiversityof the aquatic ecosystem The presence of DDT (Table 3)and some of its degradation residues in the matrix can beattributed to their wide usage before their banning [28] Sincethey are persistent enough and degrade slowly and easilyaccumulate in the soil the transportation of these pesticidesboth sorbed onto solids and dissolved by the surface waterdown to the water sources is expected [29] The persistenthalf-life of DDT in aquatic environments has been suggestedto be approximately 5 years [30] 10ndash20 years (estimated fromstudies) in bivalves [31] As various DDT metabolites persistfor a long time in the environment their gradual degradationoccurs under aerobic conditions as DDE and as DDD [32]6

7Table 5 shows the results of the determination of

organochlorine pesticide (OCP) residues in water samplesfrom various rivers on seasonal basis It has been observedthat the concentrations of analytes were very low in the

water samples (Table 5) compared to their concentrations insediment samples (Tables 3 and 4) in both dry andwet seasonThese results prove that these compounds are not hydrophilicand tend to accumulate in sediment and subsequently in fattytissue of organisms [33 34] Levels of OCPs in the surfacewater samples from all the rivers in the study area were intrace concentration (lt001 120583gL detection limit) for the wetseason analyses However some elevated levels (Table 5) of034 120583gL of trans-chlordane in Aponmu River 151 011 013and 013 120583gL of Dieldrin pp1015840-DDE cis-chlordane and 120572-endosulphan respectively in Oluwa River elevated levelsof 165 and 165 120583gL of cis-chlordane and 120572-endosulfanrespectively in Agoo River gave cause for concern Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte detectedOluwa River appeared to be the most contaminated Othercompounds were not detected because these compoundsare hydrophobic and tend to accumulate in fatty tissue oforganisms and sediment 8

9The result for dry season analyses also indicated that the

concentration ofmost of the analytes is at trace concentrationexcept for trans-chloride (034 120583gL) cis-chlordane and 120572-endosulphan (001 120583gL each) which are detected inAponmuriver and those detected in Oluwa River cis-chlordane and120572-endosulphan (013 120583gL) pp1015840-DDE (011 120583gL) op1015840-DDD(001120583gL) pp1015840-DDT (002 120583gL) and dieldrin (151 120583gL)The concentration of cis-chlordane and 120572-endosulphan inAgoo River at Ile-Oluji was 165 120583gL The amount of aldrinin Owena river at Owena-Ondo was 001120583gL 10

It was not surprising to detect DDT in water samples ofOluwa River in Ondo State DDE which is the most oftenrecognized metabolite of the DDT is a very less degradablecompound Another major reason of the presence of DDDin the river despite the fact that its production is completelybanned in the world is due to the fact that DDD wasproduced and sold by another name ldquoRothanerdquo for severalyears [28] The results showed that the concentrations ofmost of the organochlorine compounds analyzed were belowthe maximum acceptable concentration of 01120583gL value setby the European Union (EU) for the protection of aquaticenvironment 11

31 Statistical Analysis There is no significant difference inthe mean concentrations of most of the analytes detected inwater and sediment in the results of Duncan multiple rangetests (Tables 3 4 and 5)The correlation tests (Table 6) carriedout for sediment for wet season analysis revealed that most ofthe organochlorine compounds correlate positively (071 le119903 le 100)with each other at probability level of 00001while op1015840-DDD pp1015840-DDD were negatively correlated at probabilityrange of 003 to 089 However dieldrin had very low butpositive correlation within the probability range of 00158to 02371 There were strong correlations (Table 7) betweenhexachlorobenzene (HCB) and trans-chlordane (119903 = 096)120573-endosulphan (119903 = 075) op-DDD (119903 = 082) pp-DDD(119903 = 095) endrin (119903 = 086) 12

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

ISRN Soil Science 7

Table7Re

sults

ofthec

orrelatio

ntests

forO

CPsinsedimentsam

ples

durin

gthed

ryseason

HCB120572-BHC120573-BHC120574-BHC

HEP

TACH

LOR

ALD

RIN

TRANS-

CHLO

RDANE

CIS-

CHLO

RDANE120572-ENDO

SULFAN120573-ENDO

SULFAN

PP-D

DE

OP-D

DD

PP-D

DD

PP-D

DT

DIELD

RIN

ENDRIN

HCB

100

013

0008

019

006

001

096

023

023

075

015

082

095

007

minus014

086

120572-BHC

100

093

064

092

063

minus005

031

031

004

090

057

minus007

063

007

016

120573-BHC

100

039

090

050

minus005

006

006

009

088

058

minus005

051

024

009

120574-BHC

100

046

039

minus008

086

086

011

045

021

minus009

037

027

minus002

HEP

TACH

LOR

100

081

minus005

021

021

013

094

048

minus005

083

030

026

ALD

RIN

100

minus004

034

034

034

076

024

minus005

098

021

041

TRANS-CH

LORD

ANE

100

003

003

076

004

075

099

003

minus009

089

CIS-CH

LORD

ANE

100

100

021

027

004

003

031

015

019

120572-ENDOSU

LFAN

100

021

027

004

003

031

015

019

120573-ENDOSU

LFAN

100

009

052

081

014

044

069

PP1015840 -DDE

100

057

003

076

025

032

OP1015840 -DDD

100

073

028

minus013

073

PP1015840 -DDD

100

003

minus002

088

PP1015840 -DDT

100

026

047

DIELD

RIN

100

minus001

ENDRIN

100

lowastBo

ld119903values

ares

ignificantat119875lt00001

8 ISRN Soil Science

Pitarch et al [15] Five watersheds relevant to the sustainabil-ity of the area were also monitored [15ndash17] for pesticides inSalmonid-bearing streams under the auspices of WashingtonState Departments of Ecology and Agriculture Residues oforganochlorine pesticides were investigated in the water andsurface sediments from the lower reaches of the YangtzeRiver to evaluate their pollution and potential risksThe studyreported that there was no obvious trend of declining DDTconcentrations in the sediments from the river [18]

Theneed for pesticide regulation and enforcement of suchwith respect to pest management safeguarding users andconsumersrsquo health and the protection of the environmentis a task that must be achieved In Nigeria apart from thenational guidelines and standards for industrial effluentsgaseous emission and hazardous wastes [19] the NationalAgency for Food and Drugs Administration and Control(NAFDAC) also made the Pesticide Registration Regulation1996 under Decree 15 of the Federal Republic of Nigeria 1993The law made application for the registration of pesticidescompulsory with prescribed guidelines The regulation spec-ified that ldquoNo pesticide shall be manufactured formulatedimported advertised sold or distributed in Nigeria unlessit has been registered in accordance with the provisions ofthese Regulationsrdquo [20] In spite of the laudable provisionslack of enforcement of the law by the regulatory agencystill makes the containment of the risk associated with theuse of pesticides an elusive task in Nigeria The marketingof pesticides in Nigeria is very much unorganized andlacks proper legislative control This has made it difficultto determine the various market sizes types and sharesof pesticides in use Hence there is no dependable officialstatistics on the type and amount of pesticides imported intothe country [21] However environmental pollution controlis just beginning to receive the desired attention in NigeriaAn important component of this is in the reliable informationon the levels of key pollutants in different media and settingsin the country Akinnifesi et al [22] investigated the physic-chemical characteristics of soils in the main cocoa producingarea of Ondo state and found that fungicide residues causeda significant increase in soil acidity organic matter andcopper concentrations The general occurrence persistenceand consequences in the environment of OCPs and thefact that it is inevitable that persistent organic pollutants(POPs) contaminated sites will continue to represent anenvironmental issue for contemporary and future generationsto address [23] make it important to determine their levels insome areas of likely predominance

Ondo State is a major cocoa producing area in NigeriaIn addition to supplying much-needed raw materials forsome local industries cocoa export is an important source offoreign exchange earnings for the country In Nigeria thereseems to be paucity of data on the monitoring of pesticideresidues in the country Cocoa farmers in Nigeria have along history of pesticide usage on their farms Cocoa beinga plantation crop had been subjected to large volume ofinsecticides annually since 1957 especially for the controlof the brown cacao mirid Sahlbergella singularis Haglund[20 21] Hence this study is designed to provide informationon the levels of OCPs in the sediments and surface water

from rivers that flow through the main cocoa-producingareas of Ondo State of Nigeria where the cocoa farmers haveemployed pesticide spraying operations on their cocoa farms

2 Materials and Methods

21 Sample Collection Preservation Preparation and Storage

211 Sampling Sites Sediment and water samples of riversin some cocoa producing areas of Ondo State Nigeriawere collected as shown in Figure 1 These rivers includedOluwaOwena-OsunOwena-OndoOseOgbese Ala AgooAponmu Oni Opa and Osun Opa and Osun rivers weresampled where there was no cocoa plantation to serve ascontrols

212 Water samples Grab sampling technique was used tocollect six core surface water samples randomly which washomogenized to form a composite sample (25 L) per riverEach was replicated thrice per season to give a total of 66samples Concentrated sulphuric acid (50mL) was addedto each of the samples immediately after the collection toprevent microbial degradation of samples The samples werekept cool during transportation to the laboratory and thenstored at 4∘C in a refrigerator until analysed

213 Sediment Samples Sediment samples were collectedfrom the 0ndash3 cm depth from the same site as water sampleswrapped up in aluminium foil and then put in a polyethylenebag Samples were kept cool during transportation to thelaboratory At the laboratory they were freeze-dried prior tosample preparation and analysis Sediment samples were laterthawed and air-dried at ambient temperature The compositedried sediment samples were processed through 20mmstainless steel sieve The less than 63 120583m soil samples wereprepared using the 63120583mstainless steel sieve prior to analysis

22 Extraction of OCPs from the Sediment and Surface WaterSamples The sample cell was packed with some glass-woolafter which 3 g sediment samples fortified with pesticidesstandards in the concentration range of 1ndash50 ppm and with500120583Lmodifier (methanolacetonemixture ratio 2 3) spikedonto the sediment was introduced and glass-wool was addedto fill the cell completely The cell was pressurized to 300 barat 60∘C with SC-CO2 (density = 0872 gmL)

The pressure was maintained for 20min (static extrac-tion) and dynamic extraction was carried out for another30minThe extract was collected into a glass tube containing5mL acetone and then concentrated to about 2mL on avacuum rotary evaporator

The extraction chamber was depressurized according tothe equipment manual The reduced extract was taken forGC-ECDanalysis Triplicate analyses of the sediment samplesfrom each study site were carried out The same procedureabove was used to extract OCPs from raw sediment samples

However standard liquidliquid extraction method wasused to isolate the OCPs from both raw and spiked surfacewater samples as suggested by Fatoki and Awofolu [24] The

ISRN Soil Science 9

Control pointsSample pointsPlantations

RiversState boundary

7∘09984000998400998400N

6∘09984000998400998400N

7∘09984000998400998400N

6∘09984000998400998400N

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

377 55 15 225 30Kilometers

0

N

Figure 1 Map of the study area showing the geographical locations of sampling points

reduced extracts were taken for GC-ECD analyses Triplicateanalyses of the water samples from each study site were done

23 Gas Chromatographic Analysis of Extracts from SedimentandWater Samples Onemicrolitre each of processed sampleforGCanalysis was injected in turns into theGC-ECD systemXL PerkinElmer used in a split less mode and equippedwith a 63Ni electron capture detector column Zebron ZB35 fused silica capillary column 30 cm times 025mm times025 120583m (film thickness) for analyses The injector anddetector temperatures were maintained at 250∘C and 300∘Crespectively The oven temperature was initially maintainedat 50∘C (hold 1min) ramped to 200∘C at 40∘Cmin (hold2min) ramped to 240∘C at 4∘Cmin (hold 1min) and finallyramped to 270∘C at 4∘Cmin (hold 5min) The carrier gaswas 99999 nitrogen gasThe carrier gas flow rate was 14 psifor optimum performance The extraction efficiencies at thedifferent temperature were determined by comparison of thepeak areas sample extract with those of the pesticide standard

mixture The response factors were determined according tostandard method [25] 2

3

4

The result of the GC-ECD determination of the OC stan-dard mixture and the calculated response factors is presentedin Table 1 All the 22 compounds were well resolved andeluted within a reasonable time of less than 30 minutes underthe optimized gas chromatograph-electron capture detector(GC-ECD) conditions The identities of the OCPs in sampleextracts were confirmed by spiking and comparing theirretention times with those of standards and concentrationswere determined by computer calculation making use ofboth the response factors of the OCPs and the internalstandard The sample clean-up techniques achieved highanalyte recoveries of 9817 plusmn 003 to 13472 plusmn 002 for SFEand 8482 plusmn 332 to 10283 plusmn 317 for LLE with RSD of lessthan 6 in both cases (Table 1) 5

24 Statistical Analysis of the Data Thevarious data obtainedwere subjected to New Duncan Multiple Range and PearsonCorrelation tests

10 ISRN Soil Science

3 Results and Discussion

Thegeographical locations of the sampling sites are presentedin Table 2 The results of various organochlorine pesticide(OCP) residues in the sediment are as presented in Tables 3and 4 on seasonal basis Low concentrations of OCPs wereobserved for samples taken during the wet season relativeto those for the dry season This is expected because of thedilution at the former season and the fact that the transportand dispersion of pollutants in the aquatic environment iscontrolled by advection (mass movement) and mixing ordiffusion [26] In the sediment samples all the analytes exceptheptachlor which was not detected (lt002 120583gg detectionlimit) were found at appreciably higher concentration withthe following ranges (120583gg) HCB (NDmdash2518 plusmn 305) 120572-BHC (NDmdash807 plusmn 300) 120573-BHC (NDmdash1091 plusmn 666)120574-BHC (NDmdash908 plusmn 002) aldrin (NDmdash655 plusmn 002)Trans-chlordane (NDmdash8132 plusmn 706) Cis-chlordane (003 plusmn001ndash699 plusmn 005) 120572-endosulphan (003 plusmn 001ndash699 plusmn002) 120573-endosulphan (NDmdash704 plusmn 002) pp1015840-DDE (008 plusmn003ndash1904 plusmn 125) op1015840-DDD (NDmdash1115 plusmn 136) pp1015840-DDD (NDmdash5740 plusmn 676) dieldrin (001 plusmn 001ndash762 plusmn 572)and endrin (NDmdash2128 plusmn 317) in almost all the rivers inthe dry season (Table 4) than the range (120583gg) in the wetseason HCB (NDmdash555 plusmn 001) 120572-BHC (NDmdash099 plusmn 003)120573-BHC (NDmdash725 plusmn 001) 120574-BHC (NDmdash528 plusmn 001) hep-tachlor (NDmdash116 plusmn 001) aldrin (NDmdash276 plusmn 002) Trans-chlordane (NDmdash458 plusmn 003) Cis-chlordane (NDmdash299 plusmn061) 120572-endosulphan (NDmdash212 plusmn 019) 120573-endosulphan(NDmdash150 plusmn 001) p p1015840-DDE (NDmdash791 plusmn 004) op1015840-DDD (NDmdash518 plusmn 003) pp1015840-DDD (NDmdash1028 plusmn 001)dieldrin (007 plusmn 003ndash882 plusmn 004) and endrin (NDmdash443 plusmn004) (Table 3) The high concentration of pp1015840-DDT (174 plusmn001) 120583gg in sediments from Agoo River compared to theother DDTmetabolites suggests an indication of recent usageof DDT (probably with different trade name) in the studyarea more so that at the time of sampling Agoo Rivera farmer was spraying a cocoa plantation adjacent to theriver Some of the pesticides detected in the sedimentssuch as chlordane heptachlor DDT DDE and endosulfanare known to have endocrine and estrogenic disruptingproperties [27] whichmay greatly impact on the biodiversityof the aquatic ecosystem The presence of DDT (Table 3)and some of its degradation residues in the matrix can beattributed to their wide usage before their banning [28] Sincethey are persistent enough and degrade slowly and easilyaccumulate in the soil the transportation of these pesticidesboth sorbed onto solids and dissolved by the surface waterdown to the water sources is expected [29] The persistenthalf-life of DDT in aquatic environments has been suggestedto be approximately 5 years [30] 10ndash20 years (estimated fromstudies) in bivalves [31] As various DDT metabolites persistfor a long time in the environment their gradual degradationoccurs under aerobic conditions as DDE and as DDD [32]6

7Table 5 shows the results of the determination of

organochlorine pesticide (OCP) residues in water samplesfrom various rivers on seasonal basis It has been observedthat the concentrations of analytes were very low in the

water samples (Table 5) compared to their concentrations insediment samples (Tables 3 and 4) in both dry andwet seasonThese results prove that these compounds are not hydrophilicand tend to accumulate in sediment and subsequently in fattytissue of organisms [33 34] Levels of OCPs in the surfacewater samples from all the rivers in the study area were intrace concentration (lt001 120583gL detection limit) for the wetseason analyses However some elevated levels (Table 5) of034 120583gL of trans-chlordane in Aponmu River 151 011 013and 013 120583gL of Dieldrin pp1015840-DDE cis-chlordane and 120572-endosulphan respectively in Oluwa River elevated levelsof 165 and 165 120583gL of cis-chlordane and 120572-endosulfanrespectively in Agoo River gave cause for concern Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte detectedOluwa River appeared to be the most contaminated Othercompounds were not detected because these compoundsare hydrophobic and tend to accumulate in fatty tissue oforganisms and sediment 8

9The result for dry season analyses also indicated that the

concentration ofmost of the analytes is at trace concentrationexcept for trans-chloride (034 120583gL) cis-chlordane and 120572-endosulphan (001 120583gL each) which are detected inAponmuriver and those detected in Oluwa River cis-chlordane and120572-endosulphan (013 120583gL) pp1015840-DDE (011 120583gL) op1015840-DDD(001120583gL) pp1015840-DDT (002 120583gL) and dieldrin (151 120583gL)The concentration of cis-chlordane and 120572-endosulphan inAgoo River at Ile-Oluji was 165 120583gL The amount of aldrinin Owena river at Owena-Ondo was 001120583gL 10

It was not surprising to detect DDT in water samples ofOluwa River in Ondo State DDE which is the most oftenrecognized metabolite of the DDT is a very less degradablecompound Another major reason of the presence of DDDin the river despite the fact that its production is completelybanned in the world is due to the fact that DDD wasproduced and sold by another name ldquoRothanerdquo for severalyears [28] The results showed that the concentrations ofmost of the organochlorine compounds analyzed were belowthe maximum acceptable concentration of 01120583gL value setby the European Union (EU) for the protection of aquaticenvironment 11

31 Statistical Analysis There is no significant difference inthe mean concentrations of most of the analytes detected inwater and sediment in the results of Duncan multiple rangetests (Tables 3 4 and 5)The correlation tests (Table 6) carriedout for sediment for wet season analysis revealed that most ofthe organochlorine compounds correlate positively (071 le119903 le 100)with each other at probability level of 00001while op1015840-DDD pp1015840-DDD were negatively correlated at probabilityrange of 003 to 089 However dieldrin had very low butpositive correlation within the probability range of 00158to 02371 There were strong correlations (Table 7) betweenhexachlorobenzene (HCB) and trans-chlordane (119903 = 096)120573-endosulphan (119903 = 075) op-DDD (119903 = 082) pp-DDD(119903 = 095) endrin (119903 = 086) 12

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

8 ISRN Soil Science

Pitarch et al [15] Five watersheds relevant to the sustainabil-ity of the area were also monitored [15ndash17] for pesticides inSalmonid-bearing streams under the auspices of WashingtonState Departments of Ecology and Agriculture Residues oforganochlorine pesticides were investigated in the water andsurface sediments from the lower reaches of the YangtzeRiver to evaluate their pollution and potential risksThe studyreported that there was no obvious trend of declining DDTconcentrations in the sediments from the river [18]

Theneed for pesticide regulation and enforcement of suchwith respect to pest management safeguarding users andconsumersrsquo health and the protection of the environmentis a task that must be achieved In Nigeria apart from thenational guidelines and standards for industrial effluentsgaseous emission and hazardous wastes [19] the NationalAgency for Food and Drugs Administration and Control(NAFDAC) also made the Pesticide Registration Regulation1996 under Decree 15 of the Federal Republic of Nigeria 1993The law made application for the registration of pesticidescompulsory with prescribed guidelines The regulation spec-ified that ldquoNo pesticide shall be manufactured formulatedimported advertised sold or distributed in Nigeria unlessit has been registered in accordance with the provisions ofthese Regulationsrdquo [20] In spite of the laudable provisionslack of enforcement of the law by the regulatory agencystill makes the containment of the risk associated with theuse of pesticides an elusive task in Nigeria The marketingof pesticides in Nigeria is very much unorganized andlacks proper legislative control This has made it difficultto determine the various market sizes types and sharesof pesticides in use Hence there is no dependable officialstatistics on the type and amount of pesticides imported intothe country [21] However environmental pollution controlis just beginning to receive the desired attention in NigeriaAn important component of this is in the reliable informationon the levels of key pollutants in different media and settingsin the country Akinnifesi et al [22] investigated the physic-chemical characteristics of soils in the main cocoa producingarea of Ondo state and found that fungicide residues causeda significant increase in soil acidity organic matter andcopper concentrations The general occurrence persistenceand consequences in the environment of OCPs and thefact that it is inevitable that persistent organic pollutants(POPs) contaminated sites will continue to represent anenvironmental issue for contemporary and future generationsto address [23] make it important to determine their levels insome areas of likely predominance

Ondo State is a major cocoa producing area in NigeriaIn addition to supplying much-needed raw materials forsome local industries cocoa export is an important source offoreign exchange earnings for the country In Nigeria thereseems to be paucity of data on the monitoring of pesticideresidues in the country Cocoa farmers in Nigeria have along history of pesticide usage on their farms Cocoa beinga plantation crop had been subjected to large volume ofinsecticides annually since 1957 especially for the controlof the brown cacao mirid Sahlbergella singularis Haglund[20 21] Hence this study is designed to provide informationon the levels of OCPs in the sediments and surface water

from rivers that flow through the main cocoa-producingareas of Ondo State of Nigeria where the cocoa farmers haveemployed pesticide spraying operations on their cocoa farms

2 Materials and Methods

21 Sample Collection Preservation Preparation and Storage

211 Sampling Sites Sediment and water samples of riversin some cocoa producing areas of Ondo State Nigeriawere collected as shown in Figure 1 These rivers includedOluwaOwena-OsunOwena-OndoOseOgbese Ala AgooAponmu Oni Opa and Osun Opa and Osun rivers weresampled where there was no cocoa plantation to serve ascontrols

212 Water samples Grab sampling technique was used tocollect six core surface water samples randomly which washomogenized to form a composite sample (25 L) per riverEach was replicated thrice per season to give a total of 66samples Concentrated sulphuric acid (50mL) was addedto each of the samples immediately after the collection toprevent microbial degradation of samples The samples werekept cool during transportation to the laboratory and thenstored at 4∘C in a refrigerator until analysed

213 Sediment Samples Sediment samples were collectedfrom the 0ndash3 cm depth from the same site as water sampleswrapped up in aluminium foil and then put in a polyethylenebag Samples were kept cool during transportation to thelaboratory At the laboratory they were freeze-dried prior tosample preparation and analysis Sediment samples were laterthawed and air-dried at ambient temperature The compositedried sediment samples were processed through 20mmstainless steel sieve The less than 63 120583m soil samples wereprepared using the 63120583mstainless steel sieve prior to analysis

22 Extraction of OCPs from the Sediment and Surface WaterSamples The sample cell was packed with some glass-woolafter which 3 g sediment samples fortified with pesticidesstandards in the concentration range of 1ndash50 ppm and with500120583Lmodifier (methanolacetonemixture ratio 2 3) spikedonto the sediment was introduced and glass-wool was addedto fill the cell completely The cell was pressurized to 300 barat 60∘C with SC-CO2 (density = 0872 gmL)

The pressure was maintained for 20min (static extrac-tion) and dynamic extraction was carried out for another30minThe extract was collected into a glass tube containing5mL acetone and then concentrated to about 2mL on avacuum rotary evaporator

The extraction chamber was depressurized according tothe equipment manual The reduced extract was taken forGC-ECDanalysis Triplicate analyses of the sediment samplesfrom each study site were carried out The same procedureabove was used to extract OCPs from raw sediment samples

However standard liquidliquid extraction method wasused to isolate the OCPs from both raw and spiked surfacewater samples as suggested by Fatoki and Awofolu [24] The

ISRN Soil Science 9

Control pointsSample pointsPlantations

RiversState boundary

7∘09984000998400998400N

6∘09984000998400998400N

7∘09984000998400998400N

6∘09984000998400998400N

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

377 55 15 225 30Kilometers

0

N

Figure 1 Map of the study area showing the geographical locations of sampling points

reduced extracts were taken for GC-ECD analyses Triplicateanalyses of the water samples from each study site were done

23 Gas Chromatographic Analysis of Extracts from SedimentandWater Samples Onemicrolitre each of processed sampleforGCanalysis was injected in turns into theGC-ECD systemXL PerkinElmer used in a split less mode and equippedwith a 63Ni electron capture detector column Zebron ZB35 fused silica capillary column 30 cm times 025mm times025 120583m (film thickness) for analyses The injector anddetector temperatures were maintained at 250∘C and 300∘Crespectively The oven temperature was initially maintainedat 50∘C (hold 1min) ramped to 200∘C at 40∘Cmin (hold2min) ramped to 240∘C at 4∘Cmin (hold 1min) and finallyramped to 270∘C at 4∘Cmin (hold 5min) The carrier gaswas 99999 nitrogen gasThe carrier gas flow rate was 14 psifor optimum performance The extraction efficiencies at thedifferent temperature were determined by comparison of thepeak areas sample extract with those of the pesticide standard

mixture The response factors were determined according tostandard method [25] 2

3

4

The result of the GC-ECD determination of the OC stan-dard mixture and the calculated response factors is presentedin Table 1 All the 22 compounds were well resolved andeluted within a reasonable time of less than 30 minutes underthe optimized gas chromatograph-electron capture detector(GC-ECD) conditions The identities of the OCPs in sampleextracts were confirmed by spiking and comparing theirretention times with those of standards and concentrationswere determined by computer calculation making use ofboth the response factors of the OCPs and the internalstandard The sample clean-up techniques achieved highanalyte recoveries of 9817 plusmn 003 to 13472 plusmn 002 for SFEand 8482 plusmn 332 to 10283 plusmn 317 for LLE with RSD of lessthan 6 in both cases (Table 1) 5

24 Statistical Analysis of the Data Thevarious data obtainedwere subjected to New Duncan Multiple Range and PearsonCorrelation tests

10 ISRN Soil Science

3 Results and Discussion

Thegeographical locations of the sampling sites are presentedin Table 2 The results of various organochlorine pesticide(OCP) residues in the sediment are as presented in Tables 3and 4 on seasonal basis Low concentrations of OCPs wereobserved for samples taken during the wet season relativeto those for the dry season This is expected because of thedilution at the former season and the fact that the transportand dispersion of pollutants in the aquatic environment iscontrolled by advection (mass movement) and mixing ordiffusion [26] In the sediment samples all the analytes exceptheptachlor which was not detected (lt002 120583gg detectionlimit) were found at appreciably higher concentration withthe following ranges (120583gg) HCB (NDmdash2518 plusmn 305) 120572-BHC (NDmdash807 plusmn 300) 120573-BHC (NDmdash1091 plusmn 666)120574-BHC (NDmdash908 plusmn 002) aldrin (NDmdash655 plusmn 002)Trans-chlordane (NDmdash8132 plusmn 706) Cis-chlordane (003 plusmn001ndash699 plusmn 005) 120572-endosulphan (003 plusmn 001ndash699 plusmn002) 120573-endosulphan (NDmdash704 plusmn 002) pp1015840-DDE (008 plusmn003ndash1904 plusmn 125) op1015840-DDD (NDmdash1115 plusmn 136) pp1015840-DDD (NDmdash5740 plusmn 676) dieldrin (001 plusmn 001ndash762 plusmn 572)and endrin (NDmdash2128 plusmn 317) in almost all the rivers inthe dry season (Table 4) than the range (120583gg) in the wetseason HCB (NDmdash555 plusmn 001) 120572-BHC (NDmdash099 plusmn 003)120573-BHC (NDmdash725 plusmn 001) 120574-BHC (NDmdash528 plusmn 001) hep-tachlor (NDmdash116 plusmn 001) aldrin (NDmdash276 plusmn 002) Trans-chlordane (NDmdash458 plusmn 003) Cis-chlordane (NDmdash299 plusmn061) 120572-endosulphan (NDmdash212 plusmn 019) 120573-endosulphan(NDmdash150 plusmn 001) p p1015840-DDE (NDmdash791 plusmn 004) op1015840-DDD (NDmdash518 plusmn 003) pp1015840-DDD (NDmdash1028 plusmn 001)dieldrin (007 plusmn 003ndash882 plusmn 004) and endrin (NDmdash443 plusmn004) (Table 3) The high concentration of pp1015840-DDT (174 plusmn001) 120583gg in sediments from Agoo River compared to theother DDTmetabolites suggests an indication of recent usageof DDT (probably with different trade name) in the studyarea more so that at the time of sampling Agoo Rivera farmer was spraying a cocoa plantation adjacent to theriver Some of the pesticides detected in the sedimentssuch as chlordane heptachlor DDT DDE and endosulfanare known to have endocrine and estrogenic disruptingproperties [27] whichmay greatly impact on the biodiversityof the aquatic ecosystem The presence of DDT (Table 3)and some of its degradation residues in the matrix can beattributed to their wide usage before their banning [28] Sincethey are persistent enough and degrade slowly and easilyaccumulate in the soil the transportation of these pesticidesboth sorbed onto solids and dissolved by the surface waterdown to the water sources is expected [29] The persistenthalf-life of DDT in aquatic environments has been suggestedto be approximately 5 years [30] 10ndash20 years (estimated fromstudies) in bivalves [31] As various DDT metabolites persistfor a long time in the environment their gradual degradationoccurs under aerobic conditions as DDE and as DDD [32]6

7Table 5 shows the results of the determination of

organochlorine pesticide (OCP) residues in water samplesfrom various rivers on seasonal basis It has been observedthat the concentrations of analytes were very low in the

water samples (Table 5) compared to their concentrations insediment samples (Tables 3 and 4) in both dry andwet seasonThese results prove that these compounds are not hydrophilicand tend to accumulate in sediment and subsequently in fattytissue of organisms [33 34] Levels of OCPs in the surfacewater samples from all the rivers in the study area were intrace concentration (lt001 120583gL detection limit) for the wetseason analyses However some elevated levels (Table 5) of034 120583gL of trans-chlordane in Aponmu River 151 011 013and 013 120583gL of Dieldrin pp1015840-DDE cis-chlordane and 120572-endosulphan respectively in Oluwa River elevated levelsof 165 and 165 120583gL of cis-chlordane and 120572-endosulfanrespectively in Agoo River gave cause for concern Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte detectedOluwa River appeared to be the most contaminated Othercompounds were not detected because these compoundsare hydrophobic and tend to accumulate in fatty tissue oforganisms and sediment 8

9The result for dry season analyses also indicated that the

concentration ofmost of the analytes is at trace concentrationexcept for trans-chloride (034 120583gL) cis-chlordane and 120572-endosulphan (001 120583gL each) which are detected inAponmuriver and those detected in Oluwa River cis-chlordane and120572-endosulphan (013 120583gL) pp1015840-DDE (011 120583gL) op1015840-DDD(001120583gL) pp1015840-DDT (002 120583gL) and dieldrin (151 120583gL)The concentration of cis-chlordane and 120572-endosulphan inAgoo River at Ile-Oluji was 165 120583gL The amount of aldrinin Owena river at Owena-Ondo was 001120583gL 10

It was not surprising to detect DDT in water samples ofOluwa River in Ondo State DDE which is the most oftenrecognized metabolite of the DDT is a very less degradablecompound Another major reason of the presence of DDDin the river despite the fact that its production is completelybanned in the world is due to the fact that DDD wasproduced and sold by another name ldquoRothanerdquo for severalyears [28] The results showed that the concentrations ofmost of the organochlorine compounds analyzed were belowthe maximum acceptable concentration of 01120583gL value setby the European Union (EU) for the protection of aquaticenvironment 11

31 Statistical Analysis There is no significant difference inthe mean concentrations of most of the analytes detected inwater and sediment in the results of Duncan multiple rangetests (Tables 3 4 and 5)The correlation tests (Table 6) carriedout for sediment for wet season analysis revealed that most ofthe organochlorine compounds correlate positively (071 le119903 le 100)with each other at probability level of 00001while op1015840-DDD pp1015840-DDD were negatively correlated at probabilityrange of 003 to 089 However dieldrin had very low butpositive correlation within the probability range of 00158to 02371 There were strong correlations (Table 7) betweenhexachlorobenzene (HCB) and trans-chlordane (119903 = 096)120573-endosulphan (119903 = 075) op-DDD (119903 = 082) pp-DDD(119903 = 095) endrin (119903 = 086) 12

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

ISRN Soil Science 9

Control pointsSample pointsPlantations

RiversState boundary

7∘09984000998400998400N

6∘09984000998400998400N

7∘09984000998400998400N

6∘09984000998400998400N

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

4∘09984000998400998400E 5

∘09984000998400998400E 6

∘09984000998400998400E

377 55 15 225 30Kilometers

0

N

Figure 1 Map of the study area showing the geographical locations of sampling points

reduced extracts were taken for GC-ECD analyses Triplicateanalyses of the water samples from each study site were done

23 Gas Chromatographic Analysis of Extracts from SedimentandWater Samples Onemicrolitre each of processed sampleforGCanalysis was injected in turns into theGC-ECD systemXL PerkinElmer used in a split less mode and equippedwith a 63Ni electron capture detector column Zebron ZB35 fused silica capillary column 30 cm times 025mm times025 120583m (film thickness) for analyses The injector anddetector temperatures were maintained at 250∘C and 300∘Crespectively The oven temperature was initially maintainedat 50∘C (hold 1min) ramped to 200∘C at 40∘Cmin (hold2min) ramped to 240∘C at 4∘Cmin (hold 1min) and finallyramped to 270∘C at 4∘Cmin (hold 5min) The carrier gaswas 99999 nitrogen gasThe carrier gas flow rate was 14 psifor optimum performance The extraction efficiencies at thedifferent temperature were determined by comparison of thepeak areas sample extract with those of the pesticide standard

mixture The response factors were determined according tostandard method [25] 2

3

4

The result of the GC-ECD determination of the OC stan-dard mixture and the calculated response factors is presentedin Table 1 All the 22 compounds were well resolved andeluted within a reasonable time of less than 30 minutes underthe optimized gas chromatograph-electron capture detector(GC-ECD) conditions The identities of the OCPs in sampleextracts were confirmed by spiking and comparing theirretention times with those of standards and concentrationswere determined by computer calculation making use ofboth the response factors of the OCPs and the internalstandard The sample clean-up techniques achieved highanalyte recoveries of 9817 plusmn 003 to 13472 plusmn 002 for SFEand 8482 plusmn 332 to 10283 plusmn 317 for LLE with RSD of lessthan 6 in both cases (Table 1) 5

24 Statistical Analysis of the Data Thevarious data obtainedwere subjected to New Duncan Multiple Range and PearsonCorrelation tests

10 ISRN Soil Science

3 Results and Discussion

Thegeographical locations of the sampling sites are presentedin Table 2 The results of various organochlorine pesticide(OCP) residues in the sediment are as presented in Tables 3and 4 on seasonal basis Low concentrations of OCPs wereobserved for samples taken during the wet season relativeto those for the dry season This is expected because of thedilution at the former season and the fact that the transportand dispersion of pollutants in the aquatic environment iscontrolled by advection (mass movement) and mixing ordiffusion [26] In the sediment samples all the analytes exceptheptachlor which was not detected (lt002 120583gg detectionlimit) were found at appreciably higher concentration withthe following ranges (120583gg) HCB (NDmdash2518 plusmn 305) 120572-BHC (NDmdash807 plusmn 300) 120573-BHC (NDmdash1091 plusmn 666)120574-BHC (NDmdash908 plusmn 002) aldrin (NDmdash655 plusmn 002)Trans-chlordane (NDmdash8132 plusmn 706) Cis-chlordane (003 plusmn001ndash699 plusmn 005) 120572-endosulphan (003 plusmn 001ndash699 plusmn002) 120573-endosulphan (NDmdash704 plusmn 002) pp1015840-DDE (008 plusmn003ndash1904 plusmn 125) op1015840-DDD (NDmdash1115 plusmn 136) pp1015840-DDD (NDmdash5740 plusmn 676) dieldrin (001 plusmn 001ndash762 plusmn 572)and endrin (NDmdash2128 plusmn 317) in almost all the rivers inthe dry season (Table 4) than the range (120583gg) in the wetseason HCB (NDmdash555 plusmn 001) 120572-BHC (NDmdash099 plusmn 003)120573-BHC (NDmdash725 plusmn 001) 120574-BHC (NDmdash528 plusmn 001) hep-tachlor (NDmdash116 plusmn 001) aldrin (NDmdash276 plusmn 002) Trans-chlordane (NDmdash458 plusmn 003) Cis-chlordane (NDmdash299 plusmn061) 120572-endosulphan (NDmdash212 plusmn 019) 120573-endosulphan(NDmdash150 plusmn 001) p p1015840-DDE (NDmdash791 plusmn 004) op1015840-DDD (NDmdash518 plusmn 003) pp1015840-DDD (NDmdash1028 plusmn 001)dieldrin (007 plusmn 003ndash882 plusmn 004) and endrin (NDmdash443 plusmn004) (Table 3) The high concentration of pp1015840-DDT (174 plusmn001) 120583gg in sediments from Agoo River compared to theother DDTmetabolites suggests an indication of recent usageof DDT (probably with different trade name) in the studyarea more so that at the time of sampling Agoo Rivera farmer was spraying a cocoa plantation adjacent to theriver Some of the pesticides detected in the sedimentssuch as chlordane heptachlor DDT DDE and endosulfanare known to have endocrine and estrogenic disruptingproperties [27] whichmay greatly impact on the biodiversityof the aquatic ecosystem The presence of DDT (Table 3)and some of its degradation residues in the matrix can beattributed to their wide usage before their banning [28] Sincethey are persistent enough and degrade slowly and easilyaccumulate in the soil the transportation of these pesticidesboth sorbed onto solids and dissolved by the surface waterdown to the water sources is expected [29] The persistenthalf-life of DDT in aquatic environments has been suggestedto be approximately 5 years [30] 10ndash20 years (estimated fromstudies) in bivalves [31] As various DDT metabolites persistfor a long time in the environment their gradual degradationoccurs under aerobic conditions as DDE and as DDD [32]6

7Table 5 shows the results of the determination of

organochlorine pesticide (OCP) residues in water samplesfrom various rivers on seasonal basis It has been observedthat the concentrations of analytes were very low in the

water samples (Table 5) compared to their concentrations insediment samples (Tables 3 and 4) in both dry andwet seasonThese results prove that these compounds are not hydrophilicand tend to accumulate in sediment and subsequently in fattytissue of organisms [33 34] Levels of OCPs in the surfacewater samples from all the rivers in the study area were intrace concentration (lt001 120583gL detection limit) for the wetseason analyses However some elevated levels (Table 5) of034 120583gL of trans-chlordane in Aponmu River 151 011 013and 013 120583gL of Dieldrin pp1015840-DDE cis-chlordane and 120572-endosulphan respectively in Oluwa River elevated levelsof 165 and 165 120583gL of cis-chlordane and 120572-endosulfanrespectively in Agoo River gave cause for concern Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte detectedOluwa River appeared to be the most contaminated Othercompounds were not detected because these compoundsare hydrophobic and tend to accumulate in fatty tissue oforganisms and sediment 8

9The result for dry season analyses also indicated that the

concentration ofmost of the analytes is at trace concentrationexcept for trans-chloride (034 120583gL) cis-chlordane and 120572-endosulphan (001 120583gL each) which are detected inAponmuriver and those detected in Oluwa River cis-chlordane and120572-endosulphan (013 120583gL) pp1015840-DDE (011 120583gL) op1015840-DDD(001120583gL) pp1015840-DDT (002 120583gL) and dieldrin (151 120583gL)The concentration of cis-chlordane and 120572-endosulphan inAgoo River at Ile-Oluji was 165 120583gL The amount of aldrinin Owena river at Owena-Ondo was 001120583gL 10

It was not surprising to detect DDT in water samples ofOluwa River in Ondo State DDE which is the most oftenrecognized metabolite of the DDT is a very less degradablecompound Another major reason of the presence of DDDin the river despite the fact that its production is completelybanned in the world is due to the fact that DDD wasproduced and sold by another name ldquoRothanerdquo for severalyears [28] The results showed that the concentrations ofmost of the organochlorine compounds analyzed were belowthe maximum acceptable concentration of 01120583gL value setby the European Union (EU) for the protection of aquaticenvironment 11

31 Statistical Analysis There is no significant difference inthe mean concentrations of most of the analytes detected inwater and sediment in the results of Duncan multiple rangetests (Tables 3 4 and 5)The correlation tests (Table 6) carriedout for sediment for wet season analysis revealed that most ofthe organochlorine compounds correlate positively (071 le119903 le 100)with each other at probability level of 00001while op1015840-DDD pp1015840-DDD were negatively correlated at probabilityrange of 003 to 089 However dieldrin had very low butpositive correlation within the probability range of 00158to 02371 There were strong correlations (Table 7) betweenhexachlorobenzene (HCB) and trans-chlordane (119903 = 096)120573-endosulphan (119903 = 075) op-DDD (119903 = 082) pp-DDD(119903 = 095) endrin (119903 = 086) 12

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

10 ISRN Soil Science

3 Results and Discussion

Thegeographical locations of the sampling sites are presentedin Table 2 The results of various organochlorine pesticide(OCP) residues in the sediment are as presented in Tables 3and 4 on seasonal basis Low concentrations of OCPs wereobserved for samples taken during the wet season relativeto those for the dry season This is expected because of thedilution at the former season and the fact that the transportand dispersion of pollutants in the aquatic environment iscontrolled by advection (mass movement) and mixing ordiffusion [26] In the sediment samples all the analytes exceptheptachlor which was not detected (lt002 120583gg detectionlimit) were found at appreciably higher concentration withthe following ranges (120583gg) HCB (NDmdash2518 plusmn 305) 120572-BHC (NDmdash807 plusmn 300) 120573-BHC (NDmdash1091 plusmn 666)120574-BHC (NDmdash908 plusmn 002) aldrin (NDmdash655 plusmn 002)Trans-chlordane (NDmdash8132 plusmn 706) Cis-chlordane (003 plusmn001ndash699 plusmn 005) 120572-endosulphan (003 plusmn 001ndash699 plusmn002) 120573-endosulphan (NDmdash704 plusmn 002) pp1015840-DDE (008 plusmn003ndash1904 plusmn 125) op1015840-DDD (NDmdash1115 plusmn 136) pp1015840-DDD (NDmdash5740 plusmn 676) dieldrin (001 plusmn 001ndash762 plusmn 572)and endrin (NDmdash2128 plusmn 317) in almost all the rivers inthe dry season (Table 4) than the range (120583gg) in the wetseason HCB (NDmdash555 plusmn 001) 120572-BHC (NDmdash099 plusmn 003)120573-BHC (NDmdash725 plusmn 001) 120574-BHC (NDmdash528 plusmn 001) hep-tachlor (NDmdash116 plusmn 001) aldrin (NDmdash276 plusmn 002) Trans-chlordane (NDmdash458 plusmn 003) Cis-chlordane (NDmdash299 plusmn061) 120572-endosulphan (NDmdash212 plusmn 019) 120573-endosulphan(NDmdash150 plusmn 001) p p1015840-DDE (NDmdash791 plusmn 004) op1015840-DDD (NDmdash518 plusmn 003) pp1015840-DDD (NDmdash1028 plusmn 001)dieldrin (007 plusmn 003ndash882 plusmn 004) and endrin (NDmdash443 plusmn004) (Table 3) The high concentration of pp1015840-DDT (174 plusmn001) 120583gg in sediments from Agoo River compared to theother DDTmetabolites suggests an indication of recent usageof DDT (probably with different trade name) in the studyarea more so that at the time of sampling Agoo Rivera farmer was spraying a cocoa plantation adjacent to theriver Some of the pesticides detected in the sedimentssuch as chlordane heptachlor DDT DDE and endosulfanare known to have endocrine and estrogenic disruptingproperties [27] whichmay greatly impact on the biodiversityof the aquatic ecosystem The presence of DDT (Table 3)and some of its degradation residues in the matrix can beattributed to their wide usage before their banning [28] Sincethey are persistent enough and degrade slowly and easilyaccumulate in the soil the transportation of these pesticidesboth sorbed onto solids and dissolved by the surface waterdown to the water sources is expected [29] The persistenthalf-life of DDT in aquatic environments has been suggestedto be approximately 5 years [30] 10ndash20 years (estimated fromstudies) in bivalves [31] As various DDT metabolites persistfor a long time in the environment their gradual degradationoccurs under aerobic conditions as DDE and as DDD [32]6

7Table 5 shows the results of the determination of

organochlorine pesticide (OCP) residues in water samplesfrom various rivers on seasonal basis It has been observedthat the concentrations of analytes were very low in the

water samples (Table 5) compared to their concentrations insediment samples (Tables 3 and 4) in both dry andwet seasonThese results prove that these compounds are not hydrophilicand tend to accumulate in sediment and subsequently in fattytissue of organisms [33 34] Levels of OCPs in the surfacewater samples from all the rivers in the study area were intrace concentration (lt001 120583gL detection limit) for the wetseason analyses However some elevated levels (Table 5) of034 120583gL of trans-chlordane in Aponmu River 151 011 013and 013 120583gL of Dieldrin pp1015840-DDE cis-chlordane and 120572-endosulphan respectively in Oluwa River elevated levelsof 165 and 165 120583gL of cis-chlordane and 120572-endosulfanrespectively in Agoo River gave cause for concern Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte detectedOluwa River appeared to be the most contaminated Othercompounds were not detected because these compoundsare hydrophobic and tend to accumulate in fatty tissue oforganisms and sediment 8

9The result for dry season analyses also indicated that the

concentration ofmost of the analytes is at trace concentrationexcept for trans-chloride (034 120583gL) cis-chlordane and 120572-endosulphan (001 120583gL each) which are detected inAponmuriver and those detected in Oluwa River cis-chlordane and120572-endosulphan (013 120583gL) pp1015840-DDE (011 120583gL) op1015840-DDD(001120583gL) pp1015840-DDT (002 120583gL) and dieldrin (151 120583gL)The concentration of cis-chlordane and 120572-endosulphan inAgoo River at Ile-Oluji was 165 120583gL The amount of aldrinin Owena river at Owena-Ondo was 001120583gL 10

It was not surprising to detect DDT in water samples ofOluwa River in Ondo State DDE which is the most oftenrecognized metabolite of the DDT is a very less degradablecompound Another major reason of the presence of DDDin the river despite the fact that its production is completelybanned in the world is due to the fact that DDD wasproduced and sold by another name ldquoRothanerdquo for severalyears [28] The results showed that the concentrations ofmost of the organochlorine compounds analyzed were belowthe maximum acceptable concentration of 01120583gL value setby the European Union (EU) for the protection of aquaticenvironment 11

31 Statistical Analysis There is no significant difference inthe mean concentrations of most of the analytes detected inwater and sediment in the results of Duncan multiple rangetests (Tables 3 4 and 5)The correlation tests (Table 6) carriedout for sediment for wet season analysis revealed that most ofthe organochlorine compounds correlate positively (071 le119903 le 100)with each other at probability level of 00001while op1015840-DDD pp1015840-DDD were negatively correlated at probabilityrange of 003 to 089 However dieldrin had very low butpositive correlation within the probability range of 00158to 02371 There were strong correlations (Table 7) betweenhexachlorobenzene (HCB) and trans-chlordane (119903 = 096)120573-endosulphan (119903 = 075) op-DDD (119903 = 082) pp-DDD(119903 = 095) endrin (119903 = 086) 12

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

ISRN Soil Science 11

4 Conclusions

Supercritical fluid extraction (SFE) and liquidliquid extrac-tion (LLE) have been successfully employed for sampleclean-up of sediment and water samples respectively in thedetermination ofOCPs in thematricesThe concentrations ofcontaminants in water samples were very low as compared toconcentrations in sediment samples These results prove thatthese compounds are hydrophobic and tend to accumulatein sediments and also in fatty tissue of organisms [29] Onthe basis of the percentage of the analyte present in eachriver and the various concentration of each analyte Oluwariver is the most contaminated The high concentration ofthese contaminants is of great concern especially when theincreasing accumulation potential of these compounds in thefood chain is considered13

Due to lack of a similar survey for same study area resultscould not be compared to determine past situation of thecontamination and to estimate time trend Moreover due toabsence of such kind of previous study numerical decreasefactors could not be determined for the region Howeverthe present study can serve as reference data in the futureif routine monitoring of our environment is embarked uponby all concerned14

Acknowledgments

The fellowship granted to A A Okoya by the Southern andEastern Africa Network of Analytical Chemists (SEANAC)body which was utilized at the Department of Chem-istry University of Botswana Gaborone Botswana is highlyacknowledgedThe authors are also grateful to the authoritiesof theObafemiAwolowoUniversity for releasing her to utilizethe grant This study however forms part of the PhD thesisof A A Okoya The comments and useful suggestions ofthe reviewers have considerably improved the quality of thepaper15

References

[1] B Colin Environmental Chemistry WH Freeman and Com-pany 1999

[2] G Anitescu and L L Tavlarides ldquoSupercritical extraction ofcontaminants from soils and sedimentsrdquo Journal of SupercriticalFluids vol 38 no 2 pp 167ndash180 2006

[3] A Eqani R N Malik A Alamdar and H Faheem ldquoStatusof organochlorine contaminants in the different environmentalcompartments of Pakistan a review on occurrence and levelsrdquoBulletin of Environmental Contamination and Toxicology vol88 no 3 pp 303ndash310 2012

[4] L J Bao K A Maruya S A Snyder and E Y Zeng ldquoChinarsquoswater pollution by persistent organic pollutantsrdquoEnvironmentalPollution vol 163 pp 100ndash108 2012

[5] B Hileman ldquoEnvironmental estrogens linked to reproductiveabnormalities cancerrdquo Chemical and Engineering News vol 72no 5 pp 19ndash23 1994

[6] D L Davis and H L Bradlow ldquoCan environmental estrogenscause breast cancerrdquo Scientific American vol 273 no 4 pp166ndash172 1995

[7] WRKelce C R Stone S C Laws L EGray J A Kemppainenand E M Wilson ldquoPersistent DDT metabolite pprsquo-DDE is apotent androgen receptor antagonistrdquoNature vol 375 no 6532pp 581ndash585 1995

[8] P Cocco A Blair P Congia et al ldquoProportional mortality ofdichloro-diphenyl-trichloroethane (DDT) workers a prelimi-nary reportrdquo Archives of Environmental Health vol 52 no 4pp 299ndash303 1997

[9] D Pimentel D Andow R Dyson-Hudson et al ldquoEnvironmen-tal and social costs of pesticides a preliminary assessmentrdquoOikos vol 34 no 2 pp 126ndash140 1980

[10] UNEPTheAral Sea Diagnostic Study for the Development of anAction Plan for the Conservation of the Aral Sea Nairobi Kenya1993

[11] S A M A S Eqani R N Malik and A Mohammad ldquoThelevel and distribution of selected organochlorine pesticidesin sediments from River Chenab Pakistanrdquo EnvironmentalGeochemistry and Health vol 33 no 1 pp 33ndash47 2011

[12] M Wessel ldquoReview of the use of fertilizer on cacao in WesternNigeriardquo Annual Report 79 CRIN Ibadan Nigeria 1966

[13] L K Opeke Tropical Tree Crops JohnWiley amp Sons 1st edition1982

[14] N E Egbe E A Ayodele and C R Obatolu Soil and Nutritionof Cocoa Coffee Kola Cashew and Tea Progress in TreeResearch CRIN Ibadan Nigeria 2nd edition 1989

[15] E Pitarch CMedina T Portoles F J Lopez and F HernandezldquoDetermination of priority organic micro-pollutants in waterby gas chromatography coupled to triple quadrupole massspectrometryrdquo Analytica Chimica Acta vol 583 no 2 pp 246ndash258 2007

[16] A Johnson and J Cowles ldquoQuality assurance project planWashington state surface water monitoring program for pes-ticides in salmonid habitat a study for the Washington staterdquoDepartment of Agriculture Conducted by the WashingtonState Department of Ecology Publication Number 03-03-104httpwwwecywagovbiblio0303104html 2003

[17] C Burke and P Anderson ldquoAddendum to the quality assuranceproject plan for the surface water monitoring program forpesticides in salmonid-bearing streams addition of the skagit-samish watersheds and extension of program through June2009rdquo Washington State Department of Ecology OlympiaWash httpwwwecywagovbiblio0303104addhtml 2006

[18] Z Tang QHuang Y Yang X Zhu andH Fu ldquoOrganochlorinepesticides in the lower reaches of Yangtze River occurrenceecological risk and temporal trendsrdquoEcotoxicology and Environ-mental Safety vol 87 pp 89ndash97 2013

[19] Federal Environmental Protection Agency (FEPA) Guidelinesand Standards for Environmental Pollution Control in Nigeria1991

[20] Federal Republic of Nigeria Official Gazette Federal Govern-ment Press Lagos Nigeria 83 303ndash307 1996

[21] P N Ikemefuna ldquoPesticide importation and consumptionin Nigeriardquo in Proceedings of the Pesticide Training Work-shop on Environmentally Safe and Effective Control of PestsUNIFECSFEPA Lagos Nigeria 1998

[22] T A Akinnifesi O I Asubiojo and A A Amusan ldquoEffects offungicide residues on the physico-chemical characteristics ofsoils of a major cocoa-producing area of Nigeriardquo Science of theTotal Environment vol 366 no 2-3 pp 876ndash879 2006

[23] R Weber C Gaus M Tysklind et al ldquoDioxin- and POP-contaminated sitesmdashcontemporary and future relevance and

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

12 ISRN Soil Science

challenges overview on background aims and scope of theseriesrdquoEnvironmental Science andPollutionResearch vol 15 no5 pp 363ndash393 2008

[24] O S Fatoki and O R Awofolu ldquoLevels of organochlorinepesticide residues in marine- surface- ground- and drinkingwaters from the eastern cape province of South Africardquo Journalof Environmental Science and Health B vol 39 no 1 pp 101ndash1142004

[25] R O Awofolu and O S Fatoki ldquoPersistent organochlorinepesticide residues in freshwater systems and sediments from theEastern Cape South Africardquo Water SA vol 29 no 3 pp 323ndash330 2003

[26] C N Hewitt and R M Harrison ldquoChapter 1rdquo inUnderstandingour Environment R E Hester Ed Royal Society of ChemistryLondon UK 1st edition 1986

[27] A M Soto K L Chung and C Sonnenschein ldquoThe pesticidesendosulfan toxaphene and dieldrin have estrogenic effects onhuman estrogen-sensitive cellsrdquo Environmental Health Perspec-tives vol 102 no 4 pp 380ndash383 1994

[28] L P Van Dyk I H Wiese and J E Mullen ldquoManagement anddetermination of pesticide residues in South Africardquo ResidueReviews vol 82 pp 37ndash124 1982

[29] A Aydin and T Yurdun ldquoResidues of organochlorine pesticidesin water sources of istanbulrdquoWater Air and Soil Pollution vol111 no 1ndash4 pp 385ndash398 1999

[30] J P Villeneuve P P Carvalho SW Fowler andCCattini ldquoLev-els and trends of PCBs chlorinated pesticides and petroleumhydrocarbons in mussels from the NW Mediterranean coastcomparison of concentrations in 19731974 and 19881989rdquoScience of the Total Environment vol 237-238 pp 57ndash65 1999

[31] J L Sericano T L Wade E L Atlas and J M Brooks ldquoHis-torical perspective on the environmental bioavailability of DDTand its derivatives to Gulf of Mexico oystersrdquo EnvironmentalScience and Technology vol 24 no 10 pp 1541ndash1548 1990

[32] DW Klumpp H Huasheng C HumphreyW Xinhong and SCodi ldquoToxic contaminants and their biological effects in coastalwaters of Xiamen China I Organic pollutants in mussel andfish tissuesrdquo Marine Pollution Bulletin vol 44 no 8 pp 752ndash760 2002

[33] Washinton State Pest Monitoring Programme Pesticides andPCBs in Marine Mussels 1995 Washington State Department ofEcology 1996

[34] S Y A Chau and B K Afghan Analysis of Pesticides in WaterOntario Canada 1982

Composition Comments

1 Please provide valid postal codes to the addresses if

possible

2 We redrew some parts in Figure 1 Please check

3 We canrsquot clarify labels in Figure 1 Please check

4 We reduced font size of some labels in Figure 1 Please

check

5 There is a difference in the figure caption between the

old version and we followed the updated version and we

followed the updated one Please checko

6 Please check the correctness of the highlighted parts

Please check similar cases throughout the paper

7 We made the highlighted change for the sake of

correctness and consistency Please check

8 Please check format of Table 5

9 We made the highlighted change in Table 5 for the sake

of consistency and correctness Please check

10 We made the highlighted change in Tables 3 4 5 and

6 for the sake of consistency Please check

11 Should we change the highlighted ldquopp1-DDErdquo to

ldquopp1015840-DDErdquo in Table 5 Please check similar cases

throughout thetable

12 Please check the enumeration of the sections through-

out the paper

13 Should we change the highlighted ldquoPP-DDErdquo to

ldquopp-DDErdquo in the Table 6 Please check similar cases

throughout Tables 6 and 7

14 We changed the information of reference [18] Please

check

15 We made the highlighted changes in Acknowledg-

ments as per journal style Please check

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4

Author(s) Name(s)

Author 1

Author 2

Author 3

Author 4