analysis of pesticide residues in animal products … acetate extraction and detection with gc- ......
TRANSCRIPT
Tuija Pihlström
National Food Agency
Sweden
Analysis of pesticide residues in food using
ethyl acetate extraction and detection with GC-
MS/MS and LC-MS/MS (SweEt)
LAPRW 2015 Santiago de Chile
LAPRW 2015 Santiago de Chile
Outlines of presentation
SweEt an alternative method for analysis
of pesticides in food
Validation according to EU SNACO 12571/2013 ”Analytical Quality
Control Procedures for Pesticide Residue Analysis i Food and Feed”
Example of reinforced import control (EC 669/2009) using the SweEt
method
Official control of pesticides at the National Food
Agency (NFA) in Sweden How is it organized?
Laboratories
National Reference Laboratory (NRL) and one official laboratory
(Eurofins), both accredited
Method development
• Most of the method development at the NFA. Transfer of the methods
to the official laboratory for validation and for monitoring of pesticides
Analytical methods
Mainly multi residue methods based on ethyl acetate extraction and
determination using LC-MS/MS and GC-MS/MS
Analysis
• 1800 of 2000 of the samples analysed by OfL (Eurofins)
•
history of the SweEt method
• Multi residue methods are a self-evident choice for analysis of
pesticide residues in food
• Since 1989 multi residue method based on extraction with
ethyl acetate method has been used
• At that time GC with various detectors was the main detection
technique
• The method has since then continuously been improved
including simplified sample preparation and faster analysis
• Introduction of animal product 2009 has further enlarged the
scope of the method
The simplified NFA´s MRM for FV
(448 analytes; 145 GC, 303 LC)
Extraction
10 g sample + 3 g NaHCO3
20 ml ethyl acetate and 10 g Na2SO4
Falcon tube SpexSample Prep 3 minutes
Centrifugation
in 3 min. (3800 g)
Filtration
Filtrate the crude extract
0.20 µm PTFE filter
Inject to GC-MS/MS and UPLC-MS/MS
Sample conc. 0.5g/ml
The simplified SweEt
Extraction 10 g sample+20 ml EtoAc
Falcon tube SpexShaker prep 3 min
↓ Centrifugation
↓
↓
↓
Filtration↓
↓
Inject to GC-MS/MS 0.5 g/ml
Inject to UPLC-MS/MS
0.5 g/ml
Fruit and
vegetables, MRM
Ethyl acetate method
Extraction 75 g sample+200 ml EtoAc
Waring blendor 3 min
↓
Decant and filtrate through Na2 SO4
↓
Concentration and redissolve
↓
GPC clean up
Concentration and redissolve
↓
Filtration
↓
↓
Solvent switch for LC
↓
Inject to GC-MS/MS 1.5 g/ml
Inject to LC-MS/MS 2.5 g/ml
Steps MIn Min
Extraction 3 3
Centrifugation 3
Filtration 5 2
Concentration/redissolve 15
Clean up 45
Concentration/redissolve 10
Filtrate 2 2
Solvent change 15
95 10
Fat determination
↓ Extraction
0.5 g fat
10 ml EtAc:cyhex (1+1) 3 min Spex shaker
Na2SO4
↓
Centrifugation
Filtration
↓
GPC SX-3 (1+1 EtOAc/cyklohexane)
↓
Evaporation
↓
Reconstitution in EtOAc
↓ ↓
GC-MS/MS
UPLC-MS/MS
Extraction
10 g sample 20 ml EtAc+NaHCO3
3 min Spex shaker Na2SO4
↓ Centrifugation
Filtration
GC-MS/MS
UPLC-MS/MS
Extraction
5 g sample 10 ml water
10 ml EtAc (1 % Hac)
3 min Spex shaker Na2SO4
↓
Centrifugation
↓
Filtration
↓ ↓
GC-
MS/MS
UPLC-MS/MS
Extraction
5 g sample PSA + C18
10 ml EtAc 3 min Spex shaker
Na2SO4
315 96
Centrifugation
Filtration
GC-MS/MS
UPLC-MS/MS
FV +honey Cereals AO<10%fat AO>10% fat
↓ 76
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
Advantages of the SweEt method • Fast and non-laborious
• Negligible sample work up costs
• No evaporative concentration steps
• The extract is injected directly into the GC and LC
• The need of clean up has been eliminated (almost)
• Low amounts of matrix components as proteins and sugar which
often interfere with the chromatographic are co extracted.
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
The study of different extraction solvents and the amount of co extracted matrix components J. Klein and L. Alder: Development of a Multi-Analyte / Multi-Matrix
Method Based on LC-MS/MS; EPRW 2002. Rome 28.- 31.05.2002
Type of solvent
Matrix Matrix type Amount of extracted sample
Acetone /water
2+1
Acetonitrile /water 2+1
Methanol /water
2+1
Water Ethyl acetate
Tomato High water content 1.0g 38mg 36mg 34mg 33mg 8mg
Citrus High acid and
high water content
1.0g 79mg 69mg 81mg - 3mg
Raisins High sugar an
low water content
1.0g 370mg 148mg 333mg 302mg 4mg
Avocado High oil content 1.0g 33mg 40mg 30mg 43mg 332mg
Even the sun has spots……….
National Agency, Sweden LAPRW 2015 Santiago de Chile
Limitations
Distorted or split peak shapes
Solvent composition ”solvent effect”
• The injection solvent is stronger than the mobile phase (MP)
• EtOAc not diluted immediately with MP, some of the analyte molecules
are diluted and migrated with the MP resulting in split peaks
• Early Peaks (low k) most affected (2-5 min)
• It is important to keep the injection volume low 2 µl is recommended to
avoid the peak split.
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
Oxydemetonmethyl in
MeOH
MP: Buffert/MeOH (90/10)
Oxydemetonmethyl in
EtOAc
National Food Agency
Sweden
Validation in multi residue methods
Requirements for official laboratories
1. Implementation of Guidance document on analytical
quality control and validation procedures for pesticide
residues analysis in food an feed SANCO12571/2013
1. Accredited according to the ISO/IEC 17 025 standard
1. Participation in EU Proficiency tests
Guidance document on analytical quality control and validation
procedures for pesticide residues analysis in food an feed
SANCO12571/2013
To reach a complete harmonization of quality assurance measures
for pesticide residue analysis within Europe
To help monitoring laboratories achieve an acceptable standard
The reported results are reliable and consistent with other similar
results
Why do we need the guidelines?
The key objectives of the guidelines
To harmonize cost effective AQC in the EU (to find an
optimum between cost and output
(efficiency/quality)
To ensure false positives or false negatives are not reported
To support compliance with ISO/IEC 17025 accreditation
standard
Guidance in
The whole analytical chain (from sampling to reporting
results)
To define minimum criteria for validation and analysis (allows
free choice of method)
Table of contents
• Accreditation
• Sampling, transport, processing and storage of samples
• Pesticide standards, calibration solutions, etc.
• Extraction and concentration
• Contamination and interference
• Analytical calibration, representative analytes
• Analytical methods and analytical performance
• Method validation
• Routine recovery determination
• Proficiency testing and analysis of reference materials
• Confirmation of results
• Reporting of results
Example of representative commodities fruit vegetables
Commodity Categories
Commodities included in this category
Typical representative commodities
1.High water content Pome fruit
Stone fruit
Apples, pears
Apricots, carrots
2.High acid content and high water content
Citrus fruit Lemon, mandarin, orange
3.High sugar and low
water content
Honey, dried fruit Honey, raisins, dried apricots, dried
plums, fruit jams
4a. High oil content
and very low water
content
Tree nuts Walnuts, hazelnuts, chestnuts
4b. High oil content
and intermediate water
content
Oily fruits and products Olives, avocados and pastes
thereof
Example of validation according to the SANCO
12571/2013
Full validation in three different commodity groups
high water and high acid content, e.g. orange
high water content, e.g. cucumber or carrot
high sugar and low water content, e.g. raisins
Recovery study:
5 spiked samples at target LOQ (0,01 mg/kg)
5 spiked samples at 2-10 * target LOQ (0,05 mg/kg)
Parameter What/how Criterion
Linearity Through calibration curve Residuals < ±20%
Matrix effect Comparison of response from
solvent standards and matrix-
matched standards
20% small effect
LOQ By definition: lowest level for which
it has been demonstrated that
criteria for trueness and precision
have been met
≤ MRL
Specificity Response in reagent blank and
control samples
< 30% of LOQ
Precision (RSDr) Determine repeatability RSDr,
determine for both spike levels
≤ 20%
Precision* (RSDwR) Determine within-laboratory
reproducibility*
≤ 20%
Robustness Can be derived from on-going
method validation / verification
through establishing average
recovery and RSDwR?
See above
Trueness (bias)
Determine the average recovery for
spike levels
70-120%
Table 1. Validation parameters criteria.
Validation results of fruit and vegetables GC analytes 145, LC ES+/ES- analytes 303
Matrix group Detection Spiking level
(mg/kg) Mean recovery
(%) Mean RSD
(%) Number of results
High acid content and high water content GC-MS/MS 0,01 97 8,95 204
High acid content and high water content GC-MS/MS 0,05 100 7,25 142
High acid content and high water content LC-MS/MS ES- 0,01 87 9,59 25
High acid content and high water content LC-MS/MS ES- 0,05 89 6,32 26
High acid content and high water content LC-MS/MS ES+ 0,01 89 7,51 262
High acid content and high water content LC-MS/MS ES+ 0,05 89 4,87 272
High sugar and low water content GC-MS/MS 0,01 100 8,72 148
High sugar and low water content GC-MS/MS 0,05 104 6,91 149
High sugar and low water content LC-MS/MS ES- 0,01 94 4,4 11
High sugar and low water content LC-MS/MS ES- 0,05 98 3,91 13
High sugar and low water content LC-MS/MS ES+ 0,01 94 4,52 274
High sugar and low water content LC-MS/MS ES+ 0,05 97 3,18 271
High Water Content GC-MS/MS 0,01 101 9,24 207
High Water Content GC-MS/MS 0,05 103 6,35 140
High Water Content LC-MS/MS ES- 0,01 93 8,13 23
High Water Content LC-MS/MS ES- 0,05 88 5,64 23
High Water Content LC-MS/MS ES+ 0,01 95 4,92 259
High Water Content LC-MS/MS ES+ 0,05 94 4,34 262
Matrix effects – Orange, LC-MS/MS
Only 24 of 219 pesticides have >20 % matrix effect.
– in samples were those are found, true matrix-matching is used.
Standard in blank carrot extract. Tested at 0.05 mg/kg. Agilent 6460.
-60,0
-40,0
-20,0
0,0
20,0
40,0
60,0
Matr
ix e
ffect
(%
)
Pesticide
-30,0
-20,0
-10,0
0,0
10,0
20,0
30,0
Matr
ix e
ffect
(%
)
Pesticide
Matrix effects – Orange, GC-MS/MS
Only 1 of 129 analyte has >20 % matrix effect (Tetrachloroaniline-2,3,5,6, +27 %). – in samples were
found, true matrix-matching is used.
Standard in blank cucumber extract. Tested at 0.05 mg/kg. Thermo TSQ Quantum XLS.
Matrix effects – Raisins, LC-MS/MS
-60,0
-40,0
-20,0
0,0
20,0
40,0
60,0
Matr
ix e
ffect
(%
)
Pesticide
• Only 17 of 219 pesticides have >20 % matrix effect.
– in samples were those are found, matrix-matching is used for quantification.
Standard in blank carrot extract. Tested at 0.05 mg/kg. Agilent 6460.
-35
-25
-15
-5
5
15
25
35
45
Matr
ix e
ffect
(%
)
Pesticide
Matrix effects – Raisins, GC-MS/MS
26 of 129 pesticides have a matrix effects >20 %) - in samples were those are found, matrix-matching is used.
Standard in blank cucumber extract. Tested at 0.05 mg/kg. Thermo TSQ Quantum XLS.
SweEt in EU RL Proficiency tests:
Proficiency Test 1-4 for cereals
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
Fat content in selected food Ref. The Food Database. NFA
Product *Total fat % Triglycerides %
Milk 3 %
3.1 2.3
Egg
9.7 8.5
Liver
3.0 2.8
Butter
82 79.3
*Phospholipid. Triglycerides, stereols
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
Analysis of pesticides in products with animal products
Extraction
5 g sample + 0.2 g PSA and 0.2 g C18
10 ml ethyl acetate
Spex SamplePrep 3 min
0.5 g Na2SO4
Centrifugation and filtration In 3 min. (3800 g). filtrate the crude extract with 0.20 µm PTFE filter
Inject to GC-MS/MS and UPLC-MS/MS
Sample conc. 0.5g/ml
LAPRW 2015 Santiago de Chile
Results EU PT AO 9 Test material: Liquid Whole Egg
National Food
Administration. Sweden
AOAC2015
Pesticide Conc mg/kg Conc mg/kg Conc mg/kg NFA Eurofins
Spiked Assigned Found Z score Z score
Dieldrin 0,03 0.0268 0.031 0,6 0,8
Endosulfansulfat 0,045 0.0289 0.036 0,9 1
Endrin 0,015 0.0141 0.011 -0,9 2
gamma-HCH (Lindane) 0,033 0.0256 0.033 1,2 0,9
Trans- Heptachlorepoxid 0,051 0.0438 nd -3,5 0,9
Diazinon 0,065 0.0588 0.062 0,2 0,6
Parathion 0,105 0.0862 0.097 0,5 1
Phoxim 0,15 0.122 0.17 1,6 0,4
Deltamethrin 0,075 0.0562 0.078 1,6 1,1
Permethrin 0,3 0.251 0.34 1,4 0,8
LAPRW 2015 Santiago de Chile
Fat determination Gravimetrical determination after extraction with EtOAc:Cyhe (1+1)
Extraction Amount of fresh sample that corresponds to 0.5 g of fat (2.5 g cream)
10 ml ethyl acetate + cyclohexane (1 + 1)
2.5g Na2SO4
Centrifugation & Filtration 3 min. 3800g
Filtrate crude extract 0.2 µm PFTE filter
Clean up 5.0 ml to GPC SX-3
Ethyl acetate + cyclohexane (1 +
1)
Evaporation To dryness with N2
Re-dissolve in 0.5 ml ethyl acetate
Inject into GC-MS/MS and LC-MS/MS Matrix conc. 0.5 g/ml
Multi method for analysis of pesticides in products with high fat content
76 analytes
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
Butter – our challenge (slide from 2010. Heidi Pekar)
GPC Fat Profile 0.5 g butter
85
185
285
385
4 8 12 16 20 24 28 32 Time (min)
Resid
ue (m
g)
Pesticide Fraction Start
Pesticide Fraction End
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
EU PT AO7 results 2012 - liquid cream
NFA. Sweden
(GPC)
Fat Content: 29%
Pesticide Z-scores
Bifentrin -0.2
cis-Chlordane -0.6
trans-Chlordane -0.2
DDE -1.0
Diazinon -0.5
Deltamethrin -0.1
Endosulfansulfate -0.5
Hexachlorbenzene -0.8
alfa-Endosulfan -0.1
alfa-HCH -0.6
beta-HCH -0.4
Lindane -0.9
Parathion-ethyl -0.1
Boscalid -0.5
Tetraconazole -0.4
Thiachloprid -1.3
Eurofins, Sweden
Mandatory pesticides
(GPC)
Fat Content: 29%
Pesticide Z-scores
Bifentrin -0.8
cis-Chlordane -0.4
trans-Chlordane -0.6
DDE -1.6
Diazinon -1.3
Deltamethrin -0.2
Endosulfansulfate -1.0
Hexachlorbenzene -1.4
alfa-Endosulfan -0.7
alfa-HCH -0.9
beta-HCH -0.9
Lindane -1.1
Paration-ethyl -1.0
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
The presented method available: NMKL 195. 2013 ”Pesticide residues. Analysis in foods with ethyl acetate extraction using
gas and liquid chromatography with tandem mass spectrometric
determination“
EU RL website (fruit and vegetables only) Proposal at CEN level (animal products)
National Food
Administration. Sweden
LAPRW 2015 Santiago de Chile
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
EU reinforced import control
Case: Vine leaves
Specific framework for the official feed and food controls
Regulation (EC) No 882/2004 includes requirements for the official
control of vegetables being imported from third countries. Article 15(5)
provides a list of certain products on the basis of known or emerging
risks and be subject to increased controls at points of entry into the EU.
The consignments may not be placed on the market before the
analysis is complete. Regulation 669/2009 implementing Regulation
882/2004 sets out rules for the increased level of official controls.
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
Sample- vine leaves
Dolma is a family of stuffed vegetable dishes
originating from Ottoman Empire. The most-well
known type is stuffed vine leaves.
A lot of 8 300 kg vine leaves from Turkey was
subjected to the increased control.
The results originates
from a 4.5 kg
composite (bulk)
sample containing 10
bags of wine leaves á
450 g
LAPRW 2015 Santiago de Chile
Analyte Found residue MRL Analyte Found residue MRL
mg/kg mg/kg
Acetamiprid 0.014 0.01* Imidacloprid 0.063 2,00
Azoxystrobin 2,00 0.05* Indoxacarb 0.065 0.02*
Bifenthrin 0.052 0.05* Iprodion 0.86
Boscalid 1.4 0.05* Kresoxim-methyl 0.15 0.05*
Carbendazim 0.1 Lambda-cyhalothrin 0.046 0.02*
Chlorantraniliprole 0.019 20,0 Mandipropamid 0.005 0.01*
Chlorpyrifos 0.3 0.05* Metalaxyl 0.017
Cyflufenamid 0.019 0.02* Methoxyfenozide 0.5 0.02*
Cymoxanil 0.013 0.05* Metrafenone 0.82
Cypermethrin 0.016 Myclobutanil 0.03 0.02*
Deltamethrin 0.035 0.5 Penconazole 0.08 0.05*
Difenoconazole 0.036 0.05* Propargite 0.016
Dimethomorph 0.13 0.01* Proquinazid 0.011 0.02*
Dithiocarbamates 10.4 0.05* Pyrimethanil 0.92
Emamectin 0.014 0.01* Quinalphos 0.013 0.05*
Ethirimol 0.018 0.05* Tebuconazole 0.42 0.02*
Famoxadone 0.037 0.02* Tebufenpyrad 0.066 0.05*
Fenbutatin Oxide 10.9 0.05* Tetraconazole 0.052 0.02*
Fluopyram 0.084 0.01* Triadimefon (sum) 0.15 0.1
Hexythiazox 0.061 0.5 Trifloxystrobin 0.082 0.02*
Table 1 Results in vine leaves 40
analytes
LAPRW 2015 Santiago de Chile
Results
In total 40 residues were found thereof one pesticide using the single residue
method. In 26 cases the MRL was exceeded. Taking into account the 50%
measurement uncertainty, 17 pesticides (analytes) fulfilled the criteria for
enforcement.
However, none of the detected quantities of residues exceeded the acute
reference dose (ArfD).
Preliminary results from further analysis of the same lot (bulk sample) carried
out by
EURL FV, Almeria University (ES)
NVWA (NL)
Fera Science Ltd (U.K.)
EURL SRM; CVUA (DE)
EU RL CER, DTU (DK) (pending)
gave similar, consistent results
(taking into account the inhomogeneity in the bulk sample)
LAPRW 2015 Santiago de Chile
Analysis of vine leaves
Homogenate of same sample
Other individual sample
Homogenate of same sample
Other individual sample
Pesticide
NFA / Eurofins, Sweden mg/kg
EURL-FV, Spain mg/kg
NVWA, NL
mg/kg
Fera Science
Ltd U.K.
mg/kg
CVUA DE
mg/kg
Pesticide
NFA / Eurofins, Sweden mg/kg
EURL-FV, Spain mg/kg
NVWA, NL
mg/kg
Fera Science
Ltd U.K.
mg/kg
CVUA DE
mg/kg
Acetamiprid 0,014 0,019 n.d. n.d 0,001 Hexythiazox 0,061 0,095 0,010 n.d 0,006
Azoxystrobin 2,0 3,24 1,32 0,35 0,83 Imidacloprid 0,063 0,065 0,060 0,019 0,060
Bifenthrin 0,052 0,045 n.d. n.d 0,024 Indoxacarb 0,065 0,092 0,010 0,059 0,12
Boscalid 1,4 1,90 0,92 1,2 5.6 Iprodion 0,86 1,12 n.d. 0,22 0,015
Carbendazim 0,10 0,14
0,040 0,025 0,014
Kresoxim-methyl 0,15 0,25
0,13 0,15 0,41
Chlorantraniliprole 0,019 0,045 0,015 0,010 n.d Mandipropamid 0,005 0,018 n.d. n.d <0,001
Chlorpyrifos-ethyl 0,30 0,41 0,25 1,30 0,63 Metalaxyl 0,017 0,024 0,017 0,027 0,023
Cyflufenamid 0,019 0,022 0,040 0,007 0,014 Methoxyfenozie 0,50 0,832 0,44 0,33 0,46
Cyhalothrin-lambda 0,046 0,059 0,005 n.d 0,021 Metrafenone 0,82 n.a 1,13 0,5 2,2
Cymoxanil 0,013 0,014 n.d. n.d n.d Myclobutanil 0,03 0,046 0,018 n.d 0,015
Cypermethrin I-IV 0,016 n.d 0,012 n.d 0,013 Penconazole 0,08 0,11 0,10 0,04 0,084
Deltamethrin 0,035 0,03 <0,001 n.d 0,013 Propragite 0,016 0,041 n.d. n.d. 0,007
Difenoconazole I + II 0,036 0,072
0,033
0,008
0,002
Proquinazid 0,011 n.a
0,045 0,009 0,020
Dimetomorf 0,13 0,19 n.d n.d 0,008 Pyrimethanil 0.92 1,72 0,72 0,88 1,00
DITHIOCARBAMATES 10,4 n.a n.a 11 Quinalphos 0,013 0,008 n.d. n.d n.d
Emamectin 0,014 0,03 n.d. n.d 0,006 Tebuconazole 0,42 0,446 0,46 0,26 0,54
Ethirimol 0,018 0,009 0,009 0,022 0,009 Tebufenpyrad 0,066 0,088 0,073 0,005 0,061
Famoxadone 0,037 n.a n.d. n.d n.d Tetraconazole 0.052 0,076 n.d. 0,072 0,026
Fenbutatin-oxide 10,9 11,5 n.a 2 2.8 Triadimenol 0,15 0,11 0,12 0,56 0,172 Fluopyram 0,084 0,14 0,18 0,02 n.d Trfloxystrobin 0,082 0,18 n.d. n.d 0,003
LAPRW 2015 Santiago de Chile
No Additional pesticides
EURL-FV, Spain
NVWA, Netherlands
Fera Science Ltd U.K.
CVUA Stuttgart
mg/kg mg/kg mg/kg mg/kg
1 Cyprodinil 0,011 0,004 <0,005 0,006
2 Dicofol degr. (Chlorobenzilate) <0,001
3 Dicofol degr. (Dichlorobenzophenone-4,4) 0,0004
4 Flusilazole 0,088 0,11 0,26
5 Folpet degr. (Phthalimide) 0,008
6 Procymidone 0,008 0,002
7 Pyraclostrobin 0,046 <0,005
8 Sulfur (S8) 360
9 Spirodiclofen 0,014 0,031 0,016
10 Cyfluneamid 0,022
11 Flufenoxuron 0,041 0,001
12 Methyldinocap 0,078
13 Spirotetramat 0,034 0,036
14 Daminozide detected
15 Diniconazole 0,0058 0,008
16 Fenpropimorph <0.005
17 Fenzox detected
18 Fludioxnil <0.005 0,002
19 Foramsulfuron detected
20 Forchlorfenuron detected 0,10
21 Imidacloprid-olefin detected
22 Iprodione 0,22
23 Mebendazole detected 24 Ofurace <0,005
LAPRW 2015 Santiago de Chile
No Additional pesticides
EURL-FV, Spain
NVWA, Netherlands
Fera Science Ltd U.K.
CVUA Stuttgart
mg/kg mg/kg mg/kg mg/kg
25 Cabaryl 0,002
26 Diflubenzuron 0,001
27 Dodine 0,024
28 Etofenprox 0,003 29 Fenarimol 0,001 30 Imazalil 0,008
31 Spinetoram 0,006
32 Tebufenozid 0,008
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
Analyte Found residue MRL Analyte Found residue MRL
mg/kg mg/kg
Acetamiprid 0.016 0.01* Imidacloprid 0.068 2
Azoxystrobin 0.48 0.05* Indoxacarb 0.15 0.02*
Boscalid 0.5 0.05* Iprodion 0.29 0.02*
Carbaryl 0.019 0.01* Kresoxim-methyl 0.05 0.05*
Carbendazim 0.24 0.1* Lambda-cyhalothrin 0.018 0.02*
Chlorantraniliprole 0.014 20 Methoxyfenozide 0.64 0.02*
Chlorpyrifos 0.44 0.05* Metrafenone 0.4 0.05*
Cymoxanil 0.042 0.05* Myclobutanil 0.02 0.02*
Difenoconazole 0.073 0.05* Penconazole 0.063 0.05*
Dimethomorph 0.06 0.01* Pyraclostrobin 0.05 0.02*
Emamectin 0.016 0.01* Pyrimethanil 0.65 0.01*
Esfenvalerate (sum) 0.12 0.02* Tebuconazole 0.18 0.02*
Ethirimol 0.015 0.05* Tetraconazole 0.072 0.02*
Famoxadone 0.01 0.02* Triadimefon (sum) 0.061 0.1
Fenbutatin Oxide 5.4 0.05* Prokvinazid 0.008 0.02*
Fluopyram 0.058 0.01*
Results in vine leaves (subsequent sampling) 26 analytes
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
Analyte Found residue MRL Analyte Found residue MRL
mg/kg mg/kg
Acetamiprid 0.016 0.01* Imidacloprid 0.068 2
Azoxystrobin 0.48 0.05* Indoxacarb 0.15 0.02*
Boscalid 0.5 0.05* Iprodion 0.29 0.02*
Carbaryl 0.019 0.01* Kresoxim-methyl 0.05 0.05*
Carbendazim 0.24 0.1* Lambda-cyhalothrin 0.018 0.02*
Chlorantraniliprole 0.014 20 Methoxyfenozide 0.64 0.02*
Chlorpyrifos 0.44 0.05* Metrafenone 0.4 0.05*
Cymoxanil 0.042 0.05* Myclobutanil 0.02 0.02*
Difenoconazole 0.073 0.05* Penconazole 0.063 0.05*
Dimethomorph 0.06 0.01* Pyraclostrobin 0.05 0.02*
Emamectin 0.016 0.01* Pyrimethanil 0.65 0.01*
Esfenvalerate (sum) 0.12 0.02* Tebuconazole 0.18 0.02*
Ethirimol 0.015 0.05* Tetraconazole 0.072 0.02*
Famoxadone 0.01 0.02* Triadimefon (sum) 0.061 0.1
Fenbutatin Oxide 5.4 0.05* Prokvinazid 0.008 0.02*
Fluopyram 0.058 0.01*
Results in vine leaves (subsequent sampling)
National Food Agency,
Sweden
LAPRW 2015 Santiago de Chile
15-05-18 WS Tbilisi Georgien