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Routine Analytical Chemistry Sub-Group
Technical Report
2014 Collaborative Study
Comparing CRM35 for the
Determination of Total Alkaloids
(as Nicotine) in Tobacco by Continuous Flow Analysis to a
New Method with Safer Chemistry
March 2017
Sub-Group Co-ordinator:
Linda A. Crumpler, Cerulean, USA
Study Co-ordinator:
Wei Zhang, China National Tobacco Quality Supervision and Test Center, China
Linda A. Crumpler, Cerulean, USA
Authors:
Wei Zhang, China National Tobacco Quality Supervision and Test Center, China
Yanjun Ma, Guorong Du, R&D, Beijing Cigarette Factory, China
Linda. A. Crumpler, Cerulean, USA
Table of Contents
1. Introduction ....................................................................................................................... 3
2. Organisation ...................................................................................................................... 3
2.1 Participants .............................................................................................................. 3
2.2 Samples ................................................................................................................... 4
2.3 Data Sets .................................................................................................................. 4
3. Raw data ........................................................................................................................... 5
4. Statistical Analysis ............................................................................................................ 5
4.1 Numerical outlier technique: Cochran & Grubbs test ............................................. 5
4.1.1 Outlier results ................................................................................................. 6
4.2 Repeatability and reproducibility estimation .......................................................... 7
4.3 Comparison of 2014 Study to Previous Studies ...................................................... 8
5. Method Validation .......................................................................................................... 11
6. Conclusions and Recommendations ............................................................................... 17
6.1 Conclusions ........................................................................................................... 17
6.2 Recommendations ................................................................................................. 17
Appendix A – Experimental Protocol ...................................................................................... 18
Appendix B – Chinese KSCN/DCIC Method of Collaborative Test for Total Alkaloids in
Tobacco ............................................................................................................ 20
Appendix C – Raw Data by Laboratory ................................................................................... 23
Appendix D – Raw Mean and Standard Deviation Value ....................................................... 30
Appendix E – Data Representation .......................................................................................... 38
Appendix F – IUPAC 1994 Harmonized Statistical Procedure ............................................... 45
.
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1. Introduction
To produce a safer method to test total alkaloids in tobacco (as nicotine) the CORESTA
Routine Analytical Chemistry Sub-Group (RAC) undertook a collaborative study in 2014 of
two methods for the determination of total alkaloids in tobacco by segmented continuous-flow
analysis. The two methods are CORESTA Recommended Method N° 35 (CRM35) and a new
method (NCM) proposed by China National Tobacco Quality Supervision and Test Center
(CTQTC). In CRM35 cyanogen chloride is generated in situ by the reaction of potassium
cyanide (KCN), a highly toxic compound and chloramine T. NCM proposed by CTQTC
eliminates the use of the potassium cyanide by employing potassium thiocyanate (KSCN)
with sodium dichloroisocyanurate dihydrate (DCIC). Each method was tested using water
extracted tobacco and 5 % acetic acid (HAC) extracted tobacco. As documented in CRM35 it
is recommended that 5 % HAC extracts should be used if total alkaloids (as nicotine) and
reducing substances or reducing carbohydrate analyses are to be carried out simultaneously.
Calibration standards were prepared with the same extraction solutions.
Further objectives of this work are:
to provide a new CRM reflecting the safer chemistry with flow diagrams for both
macro and micro flow instruments
to provide a basis for work proposed within ISO TC126 regarding the technical
review of the corresponding ISO Standard 15152
2. Organisation
2.1 Participants
In total, 19 laboratories participated in the 2014 study using the study protocol and the
KSCN/DCIC method attached in Appendices A and B, respectively. The list of laboratories in
alphabetical order and the continuous-flow equipment used are shown below in Table 1.
Table 1: Participating laboratories and equipment
Laboratory Name Equipment
British American Tobacco, Germany SEAL Analytical, AA3
China National Tobacco Quality Supervision and Test Center, China SEAL Analytical, AA3
Essentra Scientific Services Technicon, AA II
Global Laboratory Services, Inc. Unity Scientific, Discrete Analyzer
Guizhou tobacco quality supervision and inspection station SEAL Analytical, AA3
Landewyck Tobacco s.a. SEAL Analytical
R&D Shandong Industrial Co., Ltd. SEAL Analytical, AA3
R&D, Beijing Cigarette Factory SEAL Analytical, AA3
R&D, Shenzhen Cigarette Factory Skalar, San plus System
R&D, China tobacco Hubei Industrial Co., Ltd. SEAL Analytical, AA3
R&D, China tobacco Jiangxi Industrial Co., Ltd. SEAL Analytical, AA3
R&D, China tobacco Yunnan Industrial Co., Ltd. SEAL Analytical, AA3
R&D, Guangxi International Tobacco Co., Ltd SEAL Analytical, AA3
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Laboratory Name Equipment
R&D, Hua Huan International Tobacco Co., Ltd SEAL Analytical, AA3
R&D, Inner Mongolia Kunming cigarettes Co., Ltd SEAL Analytical, AA3
ITG Reemtsma Skalar, San plus System
SEAL Analytical SEAL Analytical, AA3
Sichuan Tobacco Quality Supervision and Test Station SEAL Analytical, AA3
Yunnan Academy of Agricultural Sciences SEAL Analytical, AA3
2.2 Samples
Samples A-F are ground and distributed to participating laboratories by CTQTC. Samples G-
H are also ground and prepared by participating laboratories themselves. Sample descriptions
are given in Table 2.
Table 2: Sample description
Sample Name Sample Description
A Flue-cured tobacco
B Burley tobacco
C Oriental tobacco
D Dark sun-cured tobacco
E Fire-cured cigarette
F Blended cigarette
G CM7
H 3R4F
2.3 Data sets
Six replicates for each method and extraction technique were requested. However, due to
some restrictions on the use of KCN, problems with sample transport or technical difficulties
some labs failed to provide complete data packages as shown in Table 3.
Table 3: Number of results by laboratory
Sample Water extracts 5% HAC extracts
CRM35 NCM CRM35 NCM
A 17 18 17 17
B 17 18 17 17
C 17 18 17 17
D 17 18 17 17
E 17 18 17 17
F 17 18 17 17
G 16 17 16 16
H 16 17 16 16
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3. Raw data
The original data of the 19 laboratories can be found in Appendix C. The raw mean and
standard deviation values of CRM35 and NCM can be found in Appendix D. In Appendix E,
the raw data for CRM35 and NCM with water and 5 % HAC extracts shown in plots, in which
the mean values of the 95 % confidence interval are highlighted in colors. The 99 %
confidence limits of difference between the average of all laboratories and the average of one
laboratory are also presented.
4. Statistical analysis
4.1 Numerical outlier technique: Cochran & Grubbs test
The statistical evaluation of data for this collaborative study followed the methods provided
by ISO 5725-21. For outlier testing, the Grubbs and Cochran methods were used.
The protocol “Harmonized statistical procedure” defined by IUPAC (International Union of
Pure and Applied Chemistry) has been applied as well. It consists of sequential applications of
the Cochran and Grubbs tests until no further outliers are detected or until a drop of more than
22.2 % (for this study =2/9) in the original number of laboratories would occur (see flowchart
in Appendix F).
First apply the Cochran outlier test, and if an outlying laboratory is identified, then a single
value Grubbs test is performed on the individual values of this outlying laboratory (Individual
Grubbs). If no individual value is identified as outlier, the outlying laboratory is removed.
When an individual value is identified as an outlier, only this value is removed.
Afterwards single-value Grubbs test is applied and outlying laboratories are removed. If no
laboratory is identified as outlier, the pair-value test is applied (two values at the same end).
Remove any laboratory flagged by these tests, but stop removal if more than 22.2 % (2 of 9
laboratories) would be removed or until a drop of more than 22.2 % (ca. 2/9) in the original
number of laboratories would occur2. The details of this method can be found in Appendix F.
1 ISO 5725-2:1994 : Accuracy (trueness and precision) of measurement methods and results – Part 2: Basic
method for the determination of repeatability and reproducibility of a standard measurement method.
2 2013 Collaborative Study of CORESTA Monitors #7 (CM7) for the Determination of Test Piece Weight, TPM,
Water, Nicotine, NFDPM, Carbon Monoxide and Puff Count Obtained Under Mainstream ISO and Intense
Smoking Regimes, Routine Analytical Chemistry Sub-Group Technical Report , March 19, 2014.
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4.1.1 Outlier results
Table 4: Results of outlier determination
Samples Outlier Method
CRM35 in water
NCM in water CRM35 in
HAC NCM in HAC
A
Cochran 6 5, 14 17 13, 14, 5
Grubbs 16, 11 - 16 -
B
Cochran 15, 16 15, 16 15, 17 15, 10, 14
Grubbs - - 16 -
C
Cochran 16, 8 16, 13, 11 16, 9, 4 14, 13, 1
Grubbs - - - -
D
Cochran 2 5, 4 6 5, 14, 13
Grubbs - - 16 -
E
Cochran 12, 4, 16 16, 5, 7 17 5, 14, 13
Grubbs - - 16 -
F
Cochran 8, 9, 11 5, 13, 9, 8 8 14, 13, 8
Grubbs 6 - 16 -
G
Cochran 4, 8 18, 5, 13 17, 3 5, 14, 13
Grubbs - - 16 -
H
Cochran 12 4, 8 4 14, 5, 4
Grubbs - - -
The data for each sample and each individual laboratory is shown in Appendix D, Tables D-1
to D-8. Table 4 summarizes the analyses from laboratories that were considered outliers and
with higher standard deviations according to the Cochran-Grubbs statistical analysis.
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4.2 Repeatability and reproducibility estimation
Repeatability (r) and Reproducibility (R) limits are calculated after removal of outliers.
Nevertheless, the stragglers are retained for these calculations.
r and R values shown in Tables 5-8, are calculated for both the water and 5 % HAC extraction
methods.
Table 5: CRM35 with water extraction
Tobacco Type Mean (%) r rCV (%)* R RCV (%)*
Fire-cured 1.76 0.05 2.87 0.12 6.67
Burley 4.77 0.11 2.35 0.61 12.76
Oriental 0.98 0.04 4.07 0.24 24.10
Dark sun-cured 3.71 0.08 2.19 0.48 12.89
Fire-cured cigarette 2.11 0.06 2.71 0.34 15.90
Blended cigarette 2.02 0.03 1.59 0.20 9.65
CM 7 2.2 0.05 2.41 0.28 12.48
3R4F 2.15 0.06 2.90 0.29 13.70
*rCV is r/mean × 100% and RCV is R/mean × 100%
Table 6: NCM with water extraction
Tobacco Type Mean (%) r rCV (%)* R RCV (%)
*
Fire-cured 1.81 0.04 2.37 0.27 14.81
Burley 4.77 0.11 2.23 0.52 10.97
Oriental 0.98 0.03 3.51 0.19 19.21
Dark sun-cured 3.71 0.06 1.73 0.45 12.02
Fire-cured cigarette 2.07 0.04 2.15 0.30 14.33
Blended cigarette 2.07 0.03 1.51 0.29 13.86
CM 7 2.22 0.05 2.29 0.30 13.43
3R4F 2.12 0.06 2.61 0.24 11.52
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Table 7: CRM35 with 5 % HAC extraction
Tobacco Type Mean (%) r rCV (%)* R RCV (%)
*
Fire-cured 1.74 0.04 2.39 0.13 7.51
Burley 4.53 0.11 2.39 0.41 8.99
Oriental 0.96 0.04 4.04 0.14 14.66
Dark sun-cured 3.51 0.07 2.06 0.26 7.46
Fire-cured cigarette 2.04 0.05 2.57 0.18 8.69
Blended cigarette 1.98 0.04 2.14 0.18 8.99
CM 7 2.11 0.05 2.33 0.17 8.19
3R4F 2.08 0.06 2.80 0.26 12.55
Table 8: NCM with 5 % HAC extraction
Tobacco Type Mean (%) r rCV (%)* R RCV (%)
*
Fire-cured 1.76 0.04 2.28 0.19 11.04
Burley 4.53 0.08 1.87 0.56 12.35
Oriental 1.00 0.03 3.38 0.14 13.70
Dark sun-cured 3.60 0.06 1.60 0.44 12.29
Fire-cured cigarette 2.05 0.04 1.79 0.27 13.19
Blended cigarette 2.02 0.03 1.59 0.23 11.23
CM 7 2.17 0.04 1.95 0.27 12.25
3R4F 2.10 0.05 2.34 0.25 11.82
4.3 Comparison of 2014 study to previous studies
In order to further evaluate the data acquired in this study, data were also compared to earlier
collaborative studies performed by the RAC on CRM35. Table 9 lists the r and R values of
CRM35 from the 1993 international collaborative study involving 12 laboratories and 3
samples. Table 10 lists the r and R values of CRM35 from the 20063 collaborative study
involving 17 laboratories and 6 samples. Comparing Table 5, 6, 9 and 10, it can be seen that,
for the same tobacco type, the r and R values of CRM35 from the three collaborative studies
are close to each other.
3 2006 Collaborative Studies for Nicotine, Sugars and Nitrate in Tobacco, May 2008
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Table 9: r and R of total alkaloids in 1993 collaborative study
Extraction Method
Tobacco Type Mean (%) r rCV* R RCV
*
Water
Oriental 1.17 0.05 4.27 0.19 16.24
Flue-Cured 2.90 0.08 2.76 0.41 14.14
Burley 3.97 0.12 3.02 0.55 13.85
5 % acetic acid
Oriental 1.17 0.07 5.98 0.21 17.95
Flue-Cured 2.90 0.11 3.79 0.67 23.10
Burley 3.97 0.13 3.27 0.97 24.43
Table 10: r and R of total alkaloids in 2006 collaborative study
Tobacco Type Mean* (%) r rCV* R RCV
*
Flue-Cured A 3.19 0.17 5.33 0.53 16.61
Flue-Cured B 2.86 0.09 3.15 0.47 16.43
Flue-Cured C 0.70 0.03 4.29 0.16 22.86
Burley sample D 3.30 0.12 3.64 0.67 20.30
Burley sample E 1.51 0.08 5.30 0.32 21.19
Burley sample F 0.69 0.03 4.35 0.12 17.39
*This CRM recommends that equivalent results are obtained when either water or 5 % HAC are used as the
extraction solvents and therefore the results from this study were not segregated in the subsequent data analysis.
There was also a study performed in 2013 by a large group of laboratories in China
comparing CRM35 and the NCM. Table 11 lists the r and R values from this collaborative
study. Again it can be observed that the r and R values in this study are comparable to the
current study for the same tobacco type.
Table 11: r and R of total alkaloids in 2013 Chinese collaborative study
Method Samples Mean (%) r rCV* R RCV
*
CRM35
Fire-cured 1.71 0.03 1.75 0.25 14.62
Burley 4.31 0.07 1.62 0.60 13.92
Oriental 0.94 0.04 4.26 0.17 18.09
Cigarette A 2.04 0.04 1.96 0.37 18.14
Cigarette B 1.98 0.04 2.02 0.24 12.12
KSCN/DCIC
Fire cured 1.73 0.04 2.31 0.22 12.72
Burley 4.35 0.06 1.38 0.64 14.71
Oriental 0.97 0.04 4.12 0.12 12.37
Cigarette A 2.03 0.05 2.46 0.30 14.78
Cigarette B 2.00 0.04 2.00 0.27 13.50
It can be concluded from the analysis above that the data from three previous studies and the
current study are consistent and can be used in comparative analysis.
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Figure 1 shows the r and R values of total alkaloids determined by CRM35 and NCM
extraction with water and 5 % HAC extracts, respectively, in 2014 international collaborative
study. As shown, r is always marked in yellow, while the R values from the four different
measuring methods are displayed in four different colours. Mean values of the four different
measuring methods are also presented. It can be observed from above tables and Figure 1 that,
for both extracts, the r values of CRM35 are, however, larger than the observed for NCM. The
values of the two methods are very similar. The R values for CRM35 extracted in water for
samples A, F, and G are lower than those observed for the NCM water extracts. While for
samples B, C, D, E and H, the results are reversed. The R values of CRM35 extracted in HAC
are lower than those of NCM extracted in HAC for samples A, B, D, E, F, and G, while for C
and H, the R values of CRM35 are higher than for 5 % HAC. The difference in R values of
both methods is statistically not significant and considered acceptable.
Figure 1: The r and R of total alkaloids determined by CRM35 and NCM extraction
with water and 5 % HAC, respectively, in 2014 international collaborative study.
A B C D E F G H 0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
5.5
Test Samples ID
R of CRM35 in water
R of NCM in water
R of CRM35 in HAC R of NCM in HAC
r
Mean values
To
tal A
lka
loid
s (
%)
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Figure 2 shows the r and R of total alkaloids determined by CRM35 and NCM in the 2013
Chinese collaborative study. It can be observed that, the R value of CRM35 is lower than
observed for NCM for sample B and E, while for sample A, C and D, the R values of CRM35
are higher than the ones of NCM. The r values of the two methods are similar. The small
difference observed in R values for both methods, is acceptable.
Figure 2: The r and R of total alkaloids determined by CRM35 and NCM in 2013
Chinese collaborative study.
5. Method Validation
Validations of CRM35 and NCM, (extraction in water) in 2014 collaborative study are shown
in Figure 3. The location of the lab mean is close to y = x line, illustrating that the total
alkaloids of CRM35 method are very similar to those from NCM extraction by water method.
The correlation coefficient of the two methods is 0.9970, and the root mean square error
(RMSE) is 0.0924 %. RMSE can be calculated by:
NRMSE
N
i
1
2
CRM35NCM yy
where N is the number of data points, yNCM and yCRM representation to the total alkaloids
determined by NCM and CRM35, respectively in this work. The ratio performance deviation
(RPD) is also used in this work, it can be calculated by:
RMSE
RPD CRM35SD y
A B C D E 0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Test Samples ID
To
tal A
lka
loid
s (
%)
R of CRM
R of NCM r
Mean values
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If RPD exceeds 3, the consistency of CRM35 and NCM is considered as satisfactory
according to Williams and Sobering (1993)4. Using water extraction, the RPD is 12.8849,
showing good consistency between the two methods. The linear regression equation of the
two methods was also calculated, yNCM=0.9962yCRM+0.0145 , where yNCM and yCRM were
NCM and CRM extraction in water, respectively.
Figure 3: The relationship of total alkaloids between method CRM35 and NCM by
water extraction for the 2014 international collaborative study.
4 P.C. Williams and D.C. Sobering, Comparison of commercial near infrared transmittance and reflectance
instruments for analysis of whole grains and seeds, Journal of Near Infrared Spectroscopy, Volume 1 Issue 1,
Pages 25–32 (1993)
0 1 2 3 4 5 6 0
1
2
3
4
5
6
Total alkaloids (%) by CRM35 in water
To
tal a
lkalo
ids (
%)
by N
CM
in w
ate
r
y = x
Lab mean
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The relationship of CRM and NCM extraction in 5 % HAC in 2014 collaborative study is
visualized in Figure 4. The correlation coefficient of two methods is 0.9964, and the root
mean square error (RMSE) is 0.0916 %. The RPD is 11.3798, showing good consistency of
CRM35 and NCM in extraction with 5 % HAC. The linear regression equation of the two
method was also calculated, yNCM=0.9951yCRM+0.0354, where yNCM and yCRM were NCM and
CRM35 extraction in 5 % HAC, respectively.
Figure 4: The relationship of total alkaloids between method CRM35 and NCM by 5 %
HAC extraction for the 2014 international collaborative study.
0 1 2 3 4 5 0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
5.5
Total alkaloids (%) by CRM35 in 5 % HAC
To
tal a
lkalo
ids (
%)
by N
CM
in
5 %
HA
C
y = x
Lab mean
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Figure 5 shows the relationship of CRM35 and NCM for Chinese collaborative study in 2013.
The correlation coefficient of the two methods is 0.9977, and the root mean square error
(RMSE) is 0.0727 %. The RPD is 14.4239, showing good consistency of CRM35 and NCM.
The linear regression equation of the two method was also calculated,
yNCM=0.9788yCRM35+0.0359 , where yNCM and yCRM35 were NCM and CRM35 in 2013
Chinese collaborative study, respectively.
Figure 5: The relationship of total alkaloids between CRM35 and NCM for the 2013
Chinese collaborative study.
In order to further validate the agreement of CRM35 to NCM, Bland Altman plots were used.
Figure 6 shows the result of CRM35 and NCM in extraction with water. The logarithmic
transformation of the dataset using a technique described by Bland and Altman5 (1986) was
applied because the difference of the two methods increased as total alkaloid values increased.
The green line is the mean value of the difference of two methods, and the red dash lines
represent the 95 % confidence interval. It can be seen that the means for all the eight samples
are located within the 95 % confidence interval demonstrating that results obtained for
CRM35 and NCM using water extraction are consistent. The mean results of CRM35 and
NCM using 5 % acetic acid extraction are shown in Figure 7. Consistent with previous
collaborative studies on CRM35 using both water and 5 % HAC extraction solutions, the
NCM method gives equivalent results.
5 Statistical methods for assessing agreement between two methods of clinical measurement, JM Bland, DG
Altman, The Lancet, 1986, I: 307-310
0 1 2 3 4 5 6 0
1
2
3
4
5
6
Total alkaloids (%) by CRM35
To
tal a
lka
loid
s (
%)
by N
CM
y = x
Lab mean
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Figure 6: Bland Altman plot of CRM35 and NCM in extraction with water
Figure 7: Bland Altman plot of CRM35 and NCM extraction in 5 % HAC
0 0.5 1 1.5
-0.04
-0.03
-0.02
-0.01
0
0.01
0.02
0.03
A
BC D
E
F
G
H
Bland Altman plot
Mean of two measures
Diffe
ren
ce
be
twe
en
tw
o m
ea
su
res
0 0.5 1 1.5-0.05
-0.04
-0.03
-0.02
-0.01
0
0.01
A
B
C
D
E
F
G
H
Bland Altman plot
Mean of two measures
Diffe
ren
ce
be
twe
en
tw
o m
ea
su
res
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Figure 8: Bland Altman plot of CRM35 in water and CRM35 in 5% HAC
Figure 9: Bland Altman plot of NCM in water and NCM in 5 % HAC
0 0.5 1 1.5
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
A
B
C
D
E
F
G
H
Bland Altman plot
Mean of two measures
Diffe
ren
ce
be
twe
en
tw
o m
ea
su
res
0 0.5 1 1.5-0.03
-0.02
-0.01
0
0.01
0.02
0.03
0.04
0.05
0.06
A
B
C
D
E
F G
H
Bland Altman plot
Mean of two measures
Diffe
ren
ce
be
twe
en
tw
o m
ea
su
res
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 17/45
6. Conclusions and recommendations
6.1 Conclusions
▪ For samples A to H, the contents of total alkaloids determined by CRM35 and NCM
with water extract are similar. The correlation coefficient of the two methods is 0.9970,
the root mean square error (RMSE) is 0.0924 % and the RPD is 12.8849, showing good
agreement between CRM35 and NCM in extraction with water.
▪ For sample A to H, the contents of total alkaloids determined by CRM35 and NCM with
HAC extract are similar. The correlation coefficient of the two methods is 0.9964, the
root mean square error (RMSE) is 0.0916 %, and the RPD is 11.3798, showing good
agreement between CRM35 and NCM in extraction with HAC. It is recommended that
5% HAC extracts should be used if total alkaloids (as nicotine) and reducing substances
or reducing carbohydrates are to be carried out simultaneously.
▪ NCM method showed comparable r and R values to those published in CRM35 for both
water or HAC extraction in this 2014 collaborative study.
▪ For NCM, the results showed good consisitent with water and HAC extractions.
▪ The results of CRM35 in 2014 international collaborative study showed comparable r
and R data to those obtained by the CORESTA RAC reproducibility and repeatability
1993 and 2006 international collaborative studies.
6.2 Recommendations
Firstly, the RAC recommends that CRM35 be made obsolete and replaced with a new CRM
reflecting the safer chemistry with new flow diagrams for both macro and micro flow
instruments.
Secondly, once the new CRM is published that it be submitted to ISO TC126.
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Appendix A – Experimental Protocol
Protocol of collaborative test for total alkaloids in tobacco
1. Objective
To assess the repeatability and reproducibility of laboratories applying the same
analytical method. Besides, to assess the distinction between the Chinese KSCN/DCIC
method and the CRM35.The moisture content shall be determined, in order to be able
to provide results on a dry weight basis as well as an as-received basis.
The proposed method was developed and validated for tobacco, conventional tobacco
products.
2. Test coordinator
Zhang Wei
Senior Engineer
China National Tobacco Quality Supervision & Test Centre
No. 2 Fengyang Road, Zhengzhou High and New Technology Industries Development
Zone, Henan, China, 450001
E-mail: [email protected]
Tel: +86 371 67672617 Fax: +86 371 67672625
3. Test methods
Each laboratory shall apply both the provided Chinese KSCN/DCIC and the CRM35
methods to test the total alkaloids in the samples with water and 5% acetic acid
extractions.
The determination of moisture should be performed according to each participants own
method. If possible, a CORESTA or ISO recommended method should be used.
4. Test samples
Test samples consist of tobacco products listed in Table 1. The CM7 and 3R4F
cigarettes (samples G and H) should be taken from the participants’ own stock. Tobacco
samples A through F have been provided by Zhang Wei, China National Tobacco
Quality Supervision & Test Centre.
Table 1. Test products for the collaborative study
Code Test product
A Fire cured tobacco
B Burley tobacco
C Oriental tobacco
D Dark sun-cured tobacco
E Fire-cured cigarette
F Blended cigarettes
G CM 7
H 3R4F
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5. Schedule
For each sample, 6 replicates should be measured within a single test day.
The standard substance should be dissolved by the same solution as the extraction one.
The study starts in August 2014. The test results should be sent to the test coordinator
no later than August 25st, 2014.
6. Reporting of test results
The test results should be reported using the Excel file “CORESTA Total Alkaloids
Reporting Sheets”.
The reporting units are specified in “CORESTA Total Alkaloids Reporting Sheets” as
well as in the Excel template. Please provide the results on an “as received” and a dry
weight basis, after correction for the moisture content.
In the “General Information” worksheet, please provide a brief description of the
analytical instruments and parameters you use, as well as any minor modifications to
the method.
Also, please provide information about the source of your standard materials on the
spreadsheet provided.
Results should be sent electronically:
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 20/45
Appendix B – Chinese KSCN/DCIC Method of Collaborative Test for Total Alkaloids in Tobacco
Unless otherwise specified, all chemicals should be of Analytical grade or equivalent.
LIST OF RAW MATERIALS(for KSCN/DCIC Chemistry) Safety classifications:
Brij-35*, 30 % solution
Sodium phosphate dibasic, Na2HPO4·12H2O
Sodium phosphate monobasic, NaH2PO4·2H2O
Sodium citrate, C6H5Na3O7•2H2O
Sulphanilic acid, NH2C6H4SO3H
Potassium thiocyanate, KSCN, harmful
Sodium dichloroisocyanurate dihydrate, C3Cl2N3NaO3, harmful
Sodium carbonate, Na2CO3, irritant
Ferrous sulfate, FeSO4.7H2O, harmful
Citric acid, C6H8O7.H2O
Nicotine (>98%), highly toxic
REAGENTS MAKE UP
DI Water refers to high quality reagent water.
POTASSIUM THIOCYANATE SOLUTION
Dissolve 2.88 g of potassium thiocyanate in DI water. Dilute to 250 mL with DI water and mix well.
DCIC WORKING SOLUTION
DCIC2.20 g
DI water to 250 mL
Dissolve 2.20 g of DCIC and dilute to 250 mL with DI water.
NEUTRALISATION SOLUTION A
Citric acid 1 g
Ferrous sulfate 10 g
DI water to 1000 mL
Dissolve 1 g of citric acid and 10 g of ferrous sulfate in about 500 mL of DI water. Dilute to 1000 mL with DI water and mix well.
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 21/45
NEUTRALISATION SOLUTION B
Sodium carbonate 10 g
DI Water to 1000 mL
Dissolve 10 g of sodium carbonate in about 500 mL of DI water. Dilute to 1000 mL with DI water and mix well.
BUFFER SOLUTION A
Dissolve 71.6 g of sodium phosphate dibasic and 11.76 g of sodium citrate in about 500 mL of DI water. Dilute to 1000 mL with DI water, add 1
mL of Brij, 30% solution and mix well.
BUFFER SOLUTION B
Dissolve 71.6 g of sodium phosphate dibasic, 6.2 g of sodium phosphate monobasic,11.76 g of sodium citrate and7.0 g of sulphanilic acid in
about 800 mL of DI water. Dilute to 1000 mL with DI water, add 1 mL of DI water and mix well.
Figure 1: Proposed flowchart for macro flow systems
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 22/45
Figure 2: Proposed flowchart for micro flow systems
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 23/45
Appendix C – Raw Data by Laboratory
Lab 1
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A 1.79 1.77 1.76 1.78 1.77 1.78 1.85 1.83 1.83 1.83 1.84 1.85 1.69 1.70 1.71 1.70 1.71 1.70 1.75 1.75 1.75 1.74 1.76 1.75
B 4.92 4.90 4.92 4.92 4.90 4.88 4.85 4.84 4.80 4.88 4.84 4.77 4.40 4.45 4.46 4.49 4.47 4.47 4.49 4.46 4.50 4.53 4.52 4.52
C 0.89 0.92 0.87 0.92 0.91 0.91 0.98 0.99 0.97 1.01 1.00 1.00 0.88 0.91 0.93 0.89 0.93 0.93 0.91 0.91 0.97 0.91 0.97 0.96
D 3.88 3.84 3.83 3.83 3.84 3.84 3.87 3.87 3.85 3.85 3.85 3.85 3.50 3.53 3.52 3.53 3.51 3.55 3.59 3.64 3.61 3.60 3.60 3.63
E 2.11 2.12 2.12 2.10 2.11 2.12 2.15 2.16 2.15 2.16 2.14 2.15 2.01 2.02 2.02 2.01 2.01 2.02 2.00 2.01 2.01 2.01 2.01 2.01
F 2.14 2.10 2.12 2.11 2.13 2.14 2.17 2.15 2.16 2.18 2.16 2.18 1.98 1.98 1.98 2.00 1.97 1.99 2.03 2.03 2.02 2.04 2.02 2.04
G 2.25 2.25 2.24 2.24 2.25 2.25 2.28 2.27 2.27 2.29 2.28 2.29 2.09 2.11 2.11 2.09 2.09 2.08 2.14 2.15 2.16 2.14 2.14 2.14
H 2.17 2.17 2.21 2.21 2.19 2.22 2.19 2.19 2.23 2.21 2.23 2.23 2.04 2.05 2.08 2.05 2.05 2.05 2.09 2.10 2.13 2.11 2.12 2.11
Lab 2
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A 1.73 1.72 1.70 1.72 1.73 1.68 1.81 1.81 1.79 1.80 1.80 1.76 1.69 1.68 1.66 1.69 1.69 1.69 1.72 1.73 1.71 1.73 1.74 1.72
B 4.67 4.67 4.79 4.71 4.66 4.63 4.82 4.80 4.91 4.82 4.83 4.82 4.36 4.41 4.38 4.43 4.45 4.42 4.46 4.49 4.45 4.47 4.52 4.49
C 0.95 0.96 0.95 0.94 0.96 0.95 1.04 1.06 1.06 1.05 1.07 1.07 0.96 0.93 0.92 0.93 0.93 0.93 1.00 1.00 1.01 1.01 1.01 1.01
D 3.50 3.57 3.56 3.60 3.58 3.67 3.74 3.78 3.75 3.77 3.76 3.86 3.43 3.42 3.44 3.48 3.44 3.44 3.53 3.54 3.51 3.53 3.53 3.52
E 2.02 2.08 2.05 2.09 2.05 2.04 2.13 2.18 2.15 2.18 2.18 2.18 2.00 2.00 2.00 2.00 1.99 1.98 2.02 2.02 2.02 2.02 2.01 2.01
F 1.98 1.97 1.97 1.97 2.05 1.98 2.16 2.11 2.10 2.09 2.10 2.10 1.93 1.93 1.94 1.93 1.94 1.94 1.99 1.98 1.98 1.99 1.98 1.99
G 2.07 2.07 2.07 2.11 2.11 2.07 2.16 2.14 2.14 2.14 2.18 2.16 2.04 2.03 2.04 2.05 2.02 2.02 2.10 2.09 2.09 2.08 2.08 2.06
H 2.10 2.09 2.12 2.11 2.09 2.09 2.17 2.19 2.19 2.17 2.15 2.17 2.01 2.02 2.01 2.00 2.01 2.02 2.06 2.06 2.06 2.06 2.04 2.05
Lab 3
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A 1.71 1.73 1.72 1.74 1.72 1.72 1.73 1.76 1.75 1.76 1.73 1.74 1.72 1.70 1.71 1.73 1.69 1.73 1.72 1.70 1.72 1.72 1.72 1.72
B 4.51 4.45 4.51 4.53 4.52 4.45 4.61 4.58 4.63 4.64 4.58 4.54 4.55 4.56 4.53 4.51 4.48 4.47 4.48 4.47 4.50 4.49 4.52 4.48
C 0.96 0.98 0.95 0.95 0.97 0.96 0.94 0.94 0.93 0.92 0.93 0.91 0.96 0.94 0.95 0.95 0.96 0.98 0.98 0.97 0.97 0.96 0.96 0.97
D 3.50 3.53 3.54 3.51 3.51 3.53 3.54 3.56 3.59 3.30 3.58 3.52 3.49 3.50 3.53 3.51 3.51 3.54 3.54 3.54 3.53 3.57 3.54 3.55
E 2.01 1.98 1.98 1.98 2.02 2.03 1.99 1.98 1.96 1.98 1.99 1.99 2.02 2.05 2.04 2.04 2.04 2.00 1.98 2.00 2.00 1.98 2.00 2.01
F 2.02 2.02 2.01 2.03 2.02 2.01 2.00 2.01 2.02 2.01 1.99 1.98 1.99 1.99 2.03 2.01 2.01 2.03 2.01 1.99 2.01 2.00 1.99 1.98
G 2.12 2.17 2.11 2.17 2.17 2.16 2.14 2.16 2.14 2.16 2.17 2.14 2.15 2.15 2.18 2.21 2.15 2.13 2.12 2.12 2.15 2.15 2.14 2.14
H 2.06 2.06 2.09 2.09 2.03 2.09 2.06 2.03 2.06 2.03 2.04 2.05 2.08 2.08 2.06 2.07 2.06 2.08 2.07 2.09 2.08 2.08 2.10 2.09
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 24/45
Lab 4
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A 1.78 1.76 1.78 1.77 1.76 1.71 1.75 1.74 1.77 1.74 1.71 1.73 1.73 1.73 1.72 1.72 1.70 1.67 1.68 1.70 1.69 1.67 1.65 1.63
B 4.84 4.84 4.86 4.82 4.86 4.77 4.67 4.58 4.66 4.57 4.62 4.57 4.18 4.35 4.27 4.23 4.31 4.22 4.14 4.19 4.21 4.20 4.23 4.20
C 0.98 1.01 0.99 1.02 0.99 1.02 0.95 0.93 0.94 0.92 0.91 0.91 0.95 1.02 1.02 1.02 0.99 1.00 0.97 0.99 0.98 0.98 0.97 0.97
D 3.65 3.63 3.68 3.68 3.66 3.66 3.57 3.45 3.50 3.51 3.53 3.49 3.38 3.37 3.31 3.35 3.35 3.40 3.41 3.41 3.34 3.37 3.38 3.35
E 2.02 2.14 2.08 2.02 1.97 1.97 1.86 1.88 1.86 1.88 1.85 1.83 1.94 1.96 1.94 1.97 1.98 1.93 1.88 1.89 1.91 1.90 1.91 1.88
F 1.95 1.95 1.99 1.97 1.96 1.97 1.91 1.95 1.93 1.94 1.95 1.93 1.97 1.97 1.97 1.97 1.96 2.00 1.98 1.99 1.99 1.98 1.98 2.00
G 2.22 2.31 2.31 2.36 2.34 2.16 2.16 2.20 2.20 2.15 2.14 2.20 2.09 2.10 2.08 2.08 2.09 2.08 2.13 2.12 2.11 2.12 2.14 2.09
H 2.18 2.20 2.17 2.25 2.23 2.19 2.01 2.03 2.10 2.13 2.13 2.07 2.00 2.08 2.02 2.03 1.97 2.07 2.02 2.07 2.05 2.03 1.95 2.06
Lab 5
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A 1.77 1.78 1.75 1.76 1.76 1.73 1.77 1.71 1.73 1.80 1.84 1.77 1.66 1.69 1.68 1.69 1.70 1.69 1.64 1.70 1.69 1.62 1.67 1.66
B 4.96 4.91 4.92 4.90 4.89 4.87 4.62 4.70 4.67 4.65 4.61 4.57 4.56 4.56 4.54 4.53 4.51 4.49 4.26 4.30 4.37 4.39 4.38 4.38
C 0.81 0.85 0.83 0.85 0.84 0.85 0.88 0.97 0.91 0.91 0.90 0.90 0.96 0.97 0.97 0.92 0.93 0.93 0.96 0.98 0.96 0.96 0.98 0.96
D 3.81 3.79 3.84 3.82 3.84 3.86 3.68 3.56 3.58 3.72 3.73 3.63 3.44 3.46 3.37 3.36 3.39 3.39 3.54 3.54 3.57 3.56 3.67 3.66
E 2.14 2.14 2.15 2.17 2.06 2.11 2.02 2.01 2.11 2.04 1.97 2.02 2.02 1.98 1.96 2.02 1.98 1.95 2.04 1.96 1.96 1.99 2.04 1.93
F 2.01 2.01 2.01 2.02 2.01 2.07 2.07 2.09 2.03 2.09 2.01 2.00 1.84 1.80 1.79 1.84 1.82 1.86 2.00 1.96 2.00 1.95 1.98 1.97
G 2.20 2.22 2.25 2.21 2.24 2.23 2.16 2.11 2.15 2.07 2.03 2.13 1.97 1.95 1.99 2.01 2.00 2.01 2.11 2.14 2.06 2.14 2.04 2.17
H 2.17 2.16 2.15 2.16 2.14 2.11 2.04 2.02 2.06 2.13 2.07 2.04 1.93 1.88 1.91 1.96 1.98 1.98 2.05 2.09 2.04 1.98 1.97 2.02
Lab 6
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A 2.20 2.23 2.18 2.16 2.14 2.15 1.89 1.86 1.86 1.84 1.84 1.83 1.83 1.80 1.76 1.75 1.77 1.78 1.76 1.76 1.73 1.71 1.73 1.74
B 5.16 5.12 5.12 5.18 5.14 5.14 4.98 4.99 5.02 5.01 5.01 4.99 4.65 4.56 4.52 4.55 4.60 4.60 4.52 4.48 4.47 4.51 4.48 4.48
C 1.17 1.20 1.20 1.20 1.22 1.20 0.97 0.97 0.98 0.95 0.96 0.95 1.09 1.06 1.05 1.05 1.06 1.07 1.01 0.98 0.98 0.98 1.00 1.01
D 4.08 3.98 3.99 4.05 4.06 4.05 3.80 3.81 3.81 3.82 3.85 3.85 3.60 3.54 3.57 3.55 3.49 3.45 3.58 3.56 3.57 3.58 3.57 3.53
E 2.39 2.42 2.45 2.41 2.42 2.40 2.09 2.09 2.10 2.07 2.09 2.08 2.18 2.11 2.06 2.12 2.12 2.14 2.02 1.99 2.00 2.01 1.99 2.00
F 2.34 2.35 2.37 2.36 2.37 2.36 2.04 2.06 2.06 2.06 2.08 2.06 2.03 2.07 2.06 2.08 2.05 2.02 1.98 1.97 1.97 1.97 1.97 1.97
G 2.38 2.38 2.43 2.41 2.37 2.36 2.18 2.20 2.22 2.18 2.19 2.22 2.17 2.14 2.16 2.15 2.18 2.17 2.10 2.09 2.11 2.14 2.13 2.13
H 2.31 2.31 2.29 2.29 2.34 2.28 2.15 2.15 2.14 2.16 2.16 2.12 2.11 2.10 2.09 2.11 2.16 2.11 2.05 2.04 2.02 2.03 2.03 2.02
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 25/45
Lab 7
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
Lab 8
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
Lab 9
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 26/45
Lab 10
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
Lab 11
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
Lab 12
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 27/45
Lab 13
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
Lab 14
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
Lab 15
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 28/45
Lab 16
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
Lab 17
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
Lab 18
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 29/45
Lab 19
Samples CRM35 in water NCM in water CRM35 HAC NCM in HAC
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6
A
B
C
D
E
F
G
H
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 30/45
Appendix D – Raw Mean and Standard Deviation Value
Table D-1: Sample A - raw mean and standard deviation value of total alkaloids (as
nicotine determined by CRM35 and NCM (KSCN/DCIC) in water and 5 % HAC,
respectively
Lab ID CRM35 in water NCM in water CRM35 in HAC NCM in HAC
Mean SD Mean SD Mean SD Mean SD
1 1.77 0.01 1.84 0.01 1.70 0.01 1.75 0.01
2 1.71 0.02 1.80 0.02 1.68 0.01 1.73 0.01
3 1.72 0.01 1.74 0.01 1.71 0.02 1.72 0.01
4 1.76 0.03 1.74 0.02 1.71 0.02 1.67 0.03
5 1.76 0.02 1.77 0.05 1.69 0.01 1.66 0.03
6 2.18 0.04 1.85 0.02 1.78 0.03 1.74 0.02
7 1.77 0.02 1.89 0.01 1.81 0.01 1.94 0.01
8 1.85 0.01 1.92 0.01 1.73 0.01 1.82 0.01
9 1.75 0.03 1.75 0.02 1.78 0.01 1.78 0.01
10 1.82 0.02 1.80 0.03 1.75 0.01 1.74 0.01
11 1.95 0.03 1.97 0.02 1.73 0.03 1.75 0.02
12 1.74 0.02 1.74 0.02 1.78 0.04 1.70 0.02
13 - - 1.64 0.02 - - 1.69 0.04
14 1.72 0.03 1.73 0.03 1.73 0.01 1.74 0.04
15 1.73 0.02 1.71 0.01 1.71 0.02 1.74 0.02
16 1.90 0.02 1.95 0.03 2.19 0.02 1.82 0.02
17 - - - - 1.75 0.03 - -
18 1.77 0.01 1.81 0.01 - - - -
19 1.75 0.01 1.74 0.01 1.82 0.01 1.79 0.00
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 31/45
Table D-2: Sample B - raw mean and standard deviation value of total alkaloids (as
nicotine) in sample B determined by CRM35 and NCM (KSCN/DCIC) in water and 5%
HAC, respectively
Lab ID CRM35 in water NCM in water CRM35 in HAC NCM in HAC
Mean SD Mean SD Mean SD Mean SD
1 4.91 0.02 4.83 0.04 4.46 0.03 4.50 0.03
2 4.69 0.06 4.83 0.04 4.41 0.03 4.48 0.02
3 4.49 0.03 4.60 0.04 4.52 0.04 4.49 0.02
4 4.83 0.03 4.61 0.04 4.26 0.06 4.20 0.03
5 4.91 0.03 4.64 0.05 4.53 0.03 4.35 0.05
6 5.14 0.02 5.00 0.01 4.58 0.05 4.49 0.02
7 4.65 0.02 4.88 0.02 4.78 0.02 5.01 0.02
8 4.93 0.05 4.99 0.05 4.54 0.07 4.70 0.02
9 4.55 0.06 4.67 0.05 4.67 0.02 4.55 0.03
10 4.67 0.02 4.81 0.01 4.48 0.07 4.56 0.09
11 5.08 0.02 5.08 0.02 4.53 0.04 4.47 0.02
12 5.00 0.06 4.97 0.03 4.43 0.03 4.37 0.03
13 - - 4.60 0.06 - - 4.49 0.06
14 4.46 0.06 4.49 0.06 4.41 0.15 4.59 0.21
15 4.31 0.11 4.19 0.11 4.26 0.22 4.21 0.22
16 4.98 0.08 4.86 0.18 5.59 0.04 4.76 0.02
17 - - - - 4.80 0.08 - -
18 4.62 0.04 4.75 0.03 - - - -
19 4.69 0.03 4.55 0.01 4.75 0.01 4.61 0.01
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 32/45
Table D-3: Sample C - raw mean and standard deviation value of total alkaloids (as
nicotine) in determined by CRM35 and NCM (KSCN/DCIC) in water and 5% HAC,
respectively
Lab ID CRM35 in water NCM in water CRM35 in HAC NCM in HAC
Mean SD Mean SD Mean SD Mean SD
1 0.90 0.02 0.99 0.01 0.91 0.02 0.94 0.03
2 0.95 0.01 1.06 0.01 0.93 0.01 1.01 0.01
3 0.96 0.01 0.93 0.01 0.96 0.01 0.97 0.01
4 1.00 0.02 0.92 0.02 1.00 0.03 0.98 0.01
5 0.84 0.01 0.91 0.03 0.95 0.02 0.97 0.01
6 1.20 0.01 0.96 0.01 1.07 0.01 0.99 0.02
7 0.98 0.01 1.10 0.00 1.00 0.00 1.09 0.00
8 1.00 0.03 1.08 0.01 0.95 0.01 1.08 0.01
9 1.03 0.01 0.95 0.01 0.97 0.04 1.00 0.01
10 0.93 0.01 0.96 0.01 0.93 0.02 0.96 0.02
11 1.05 0.02 1.10 0.02 0.95 0.02 1.01 0.02
12 0.90 0.04 0.88 0.01 1.04 0.01 0.97 0.01
13 - - 0.85 0.03 - - 0.87 0.03
14 0.96 0.02 1.00 0.02 0.94 0.01 0.98 0.04
15 0.96 0.01 0.97 0.02 0.94 0.01 0.98 0.02
16 0.88 0.11 0.91 0.12 1.27 0.06 1.07 0.05
17 - - - - 0.96 0.01 - -
18 1.03 0.02 1.05 0.01 - - - -
19 0.95 0.01 0.99 0.01 0.90 0.00 0.93 0.00
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 33/45
Table D-4: Sample D - raw mean and standard deviation value of total alkaloids (as
nicotine) determined by CRM35 and NCM (KSCN/DCIC) in water and 5% HAC,
respectively
Lab ID CRM35 in water NCM in water CRM35 in HAC NCM in HAC
Mean SD Mean SD Mean SD Mean SD
1 3.84 0.02 3.86 0.01 3.52 0.02 3.61 0.02
2 3.58 0.05 3.78 0.04 3.44 0.02 3.53 0.01
3 3.52 0.02 3.52 0.11 3.51 0.02 3.54 0.01
4 3.66 0.02 3.51 0.04 3.36 0.03 3.38 0.03
5 3.83 0.02 3.65 0.07 3.40 0.04 3.59 0.06
6 4.03 0.04 3.82 0.02 3.53 0.05 3.57 0.02
7 3.64 0.01 3.80 0.02 3.73 0.01 3.96 0.01
8 3.81 0.05 3.89 0.03 3.53 0.02 3.80 0.01
9 3.68 0.03 3.69 0.02 3.45 0.03 3.65 0.02
10 3.75 0.02 3.71 0.02 3.59 0.01 3.57 0.01
11 3.98 0.02 3.93 0.01 3.52 0.04 3.51 0.02
12 3.74 0.04 3.78 0.03 3.47 0.03 3.48 0.04
13 - - 3.52 0.02 - - 3.65 0.04
14 3.43 0.05 3.50 0.01 3.47 0.03 3.61 0.05
15 3.49 0.03 3.40 0.02 3.47 0.04 3.51 0.01
16 3.74 0.03 3.81 0.04 4.07 0.04 3.80 0.03
17 - - - - 3.60 0.06 - -
18 3.61 0.01 3.71 0.03 - - - -
19 3.54 0.01 3.55 0.02 3.56 0.02 3.53 0.01
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 34/45
Table D-5: Sample E - raw mean and standard deviation value of total alkaloids (as
nicotine) in sample E determined by CRM35 and NCM (KSCN/DCIC) in water and 5%
HAC, respectively
Lab ID CRM35 in water NCM in water CRM35 in HAC NCM in HAC
Mean SD Mean SD Mean SD Mean SD
1 2.11 0.01 2.15 0.01 2.01 0.00 2.01 0.00
2 2.05 0.03 2.17 0.02 1.99 0.01 2.01 0.00
3 2.00 0.02 1.98 0.01 2.03 0.02 2.00 0.01
4 2.03 0.06 1.86 0.02 1.95 0.02 1.90 0.01
5 2.13 0.04 2.03 0.05 1.98 0.03 1.99 0.05
6 2.42 0.02 2.09 0.01 2.12 0.04 2.00 0.01
7 2.03 0.00 1.97 0.40 2.09 0.01 2.24 0.01
8 2.19 0.04 2.24 0.02 2.04 0.01 2.20 0.02
9 2.12 0.01 2.02 0.02 2.02 0.02 2.12 0.02
10 2.04 0.01 2.06 0.00 1.97 0.01 2.02 0.02
11 2.26 0.01 2.22 0.01 2.05 0.02 1.99 0.02
12 2.03 0.08 2.04 0.01 2.09 0.02 2.00 0.01
13 - - 2.08 0.02 - - 2.06 0.04
14 2.01 0.02 1.99 0.02 2.00 0.02 2.03 0.04
15 2.03 0.01 1.94 0.01 2.03 0.01 2.01 0.02
16 2.24 0.05 2.23 0.05 2.44 0.01 2.17 0.01
17 - - - - 2.09 0.04 - -
18 2.00 0.01 2.10 0.01 - - - -
19 2.14 0.01 2.05 0.02 2.17 0.01 2.07 0.00
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 35/45
Table D-6: Sample F - raw mean and standard deviation value of total alkaloids (as
nicotine) in sample F determined by CRM35 and NCM (KSCN/DCIC) in water and 5%
HAC, respectively
Lab ID CRM35 in water NCM in water CRM35 in HAC NCM in HAC
Mean SD Mean SD Mean SD Mean SD
1 2.13 0.02 2.17 0.01 1.98 0.01 2.03 0.01
2 1.99 0.03 2.11 0.03 1.94 0.00 1.98 0.00
3 2.02 0.01 2.00 0.02 2.01 0.02 2.00 0.01
4 1.97 0.01 1.93 0.01 1.97 0.02 1.98 0.01
5 2.02 0.03 2.05 0.04 1.83 0.02 1.98 0.02
6 2.36 0.01 2.06 0.02 2.05 0.02 1.97 0.01
7 2.04 0.01 2.16 0.00 2.06 0.00 2.23 0.01
8 2.16 0.04 2.27 0.02 1.97 0.03 2.19 0.03
9 2.08 0.03 2.05 0.03 2.02 0.02 2.11 0.01
10 2.00 0.01 2.03 0.01 1.93 0.01 1.99 0.01
11 2.26 0.02 2.27 0.01 1.99 0.02 1.95 0.02
12 2.04 0.01 2.05 0.01 1.98 0.02 1.96 0.01
13 - - 1.98 0.04 - - 1.80 0.04
14 1.95 0.02 1.97 0.03 1.93 0.02 2.02 0.05
15 1.96 0.01 1.93 0.01 1.94 0.02 1.97 0.02
16 2.19 0.02 2.21 0.01 2.33 0.02 2.13 0.01
17 - - - - 2.01 0.03 - -
18 2.02 0.01 2.08 0.01 - - - -
19 2.02 0.00 2.02 0.00 2.05 0.00 2.02 0.01
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 36/45
Table D-7: Sample G - raw mean and standard deviation value of total alkaloids (as
nicotine) in sample G determined by CRM35 and NCM (KSCN/DCIC) in water and 5%
HAC, respectively
Lab ID CRM35 in water NCM in water CRM35 in HAC NCM in HAC
Mean SD Mean SD Mean SD Mean SD
1 2.25 0.01 2.28 0.01 2.09 0.01 2.14 0.01
2 2.08 0.02 2.15 0.02 2.03 0.01 2.08 0.01
3 2.15 0.03 2.15 0.01 2.16 0.03 2.14 0.01
4 2.28 0.08 2.18 0.03 2.09 0.01 2.12 0.02
5 2.23 0.02 2.11 0.05 1.99 0.02 2.11 0.05
6 2.39 0.03 2.20 0.02 2.16 0.02 2.12 0.02
7 2.15 0.01 2.25 0.01 2.20 0.01 2.37 0.01
8 2.27 0.04 2.44 0.01 2.14 0.01 2.34 0.01
9 2.19 0.02 2.12 0.01 2.16 0.03 2.20 0.02
10 2.14 0.01 2.16 0.01 2.06 0.01 2.11 0.01
11 2.38 0.01 2.39 0.02 2.17 0.02 2.14 0.02
12 2.20 0.03 2.24 0.02 2.09 0.02 2.10 0.02
13 - - 2.10 0.04 - - 2.08 0.03
14 2.11 0.02 2.13 0.03 2.12 0.03 2.18 0.04
15 2.12 0.02 2.08 0.02 2.12 0.03 2.13 0.02
16 2.29 0.02 2.28 0.02 2.44 0.02 2.26 0.01
17 - - - - 2.15 0.06 - -
18 2.16 0.02 2.17 0.06 - - - -
19 - - - - - - - -
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 37/45
Table D-8: Sample H - raw mean and standard deviation value of total alkaloids (as
nicotine) determined by CRM35 and NCM (KSCN/DCIC) in water and 5 % HAC,
respectively
Lab ID CRM35 in water NCM in water CRM35 in HAC NCM in HAC
Mean SD Mean SD Mean SD Mean SD
1 2.20 0.02 2.21 0.02 2.05 0.01 2.11 0.01
2 2.10 0.01 2.17 0.01 2.01 0.01 2.05 0.01
3 2.07 0.03 2.04 0.01 2.07 0.01 2.08 0.01
4 2.20 0.03 2.08 0.05 2.03 0.04 2.03 0.04
5 2.15 0.02 2.06 0.04 1.94 0.04 2.03 0.05
6 2.30 0.02 2.15 0.02 2.11 0.02 2.03 0.01
7 2.11 0.01 2.23 0.01 2.16 0.02 2.27 0.01
8 2.27 0.04 2.37 0.04 2.09 0.04 2.27 0.04
9 2.05 0.02 2.04 0.01 2.06 0.02 2.10 0.02
10 2.08 0.01 2.09 0.02 2.00 0.01 2.06 0.01
11 2.36 0.03 2.28 0.02 2.09 0.03 2.04 0.03
12 2.10 0.04 2.09 0.01 2.05 0.01 2.03 0.02
13 - - 2.09 0.01 - - 2.01 0.03
14 2.01 0.02 2.01 0.04 2.04 0.01 2.07 0.08
15 2.07 0.01 2.01 0.00 2.06 0.02 2.07 0.01
16 2.20 0.02 2.20 0.01 2.33 0.02 2.17 0.04
17 - - - - 2.16 0.03 - -
18 2.10 0.01 2.14 0.01 - - - -
19 - - - - - - - -
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 38/45
Appendix E – Data Representation
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
0.7
0.8
0.9
1
1.1
1.2
1.3
Lab ID
To
tal A
lka
loid
s (
%)
Oriental tobacco
CRM 35 in w ater
NCM in w ater
Lab value
Lab mean
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
3.3
3.4
3.5
3.6
3.7
3.8
3.9
4
4.1
Lab ID
To
tal A
lka
loid
s (
%)
Dark sun-cured tobacco
CRM 35 in w ater
NCM in w ater
Lab value
Lab mean
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 39/45
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1.8
1.9
2
2.1
2.2
2.3
2.4
Lab ID
To
tal A
lka
loid
s (
%)
Fire-cured cigarette
CRM 35 in w ater
NCM in w ater
Lab value
Lab mean
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1.8
1.9
2
2.1
2.2
2.3
2.4
Lab ID
To
tal A
lka
loid
s (
%)
Blended cigarette
CRM 35 in w ater
NCM in w ater
Lab value
Lab mean
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 40/45
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1.95
2
2.05
2.1
2.15
2.2
2.25
2.3
2.35
2.4
2.45
Lab ID
To
tal A
lka
loid
s (
%)
CM7
CRM 35 in w ater
NCM in w ater
Lab value
Lab mean
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1.9
2
2.1
2.2
2.3
2.4
Lab ID
To
tal A
lka
loid
s (
%)
3R4F
CRM 35 in w ater
NCM in w ater
Lab value
Lab mean
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 41/45
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1.5
1.6
1.7
1.8
1.9
2
2.1
2.2
2.3
Lab ID
To
tal A
lka
loid
s (
%)
Flue-cured tobacco
CRM 35 in HAC
NCM in HAC
Lab value
Lab mean
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
4
4.5
5
5.5
Lab ID
Burley tobacco
CRM35 in HAC NCM in HAC Lab value Lab mean
Tota
l A
lkalo
ids (
%)
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 42/45
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
0.8
0.9
1
1.1
1.2
1.3
Lab ID
To
tal A
lka
loid
s (
%)
Oriental tobacco
CRM 35 in HAC
NCM in HAC
Lab value
Lab mean
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
3.2
3.4
3.6
3.8
4
4.2
Lab ID
To
tal A
lka
loid
s (
%)
Dark sun-cured tobacco
CRM 35 in HAC
NCM in HAC
Lab value
Lab mean
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 43/45
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1.8
1.9
2
2.1
2.2
2.3
2.4
Lab ID
To
tal A
lka
loid
s (
%)
Fire-cured cigarette
CRM 35 in HAC
NCM in HAC
Lab value
Lab mean
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1.8
1.9
2
2.1
2.2
2.3
2.4
Lab ID
To
tal A
lka
loid
s (
%)
Blended cigarette
CRM 35 in HAC
NCM in HAC
Lab value
Lab mean
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 44/45
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1.9
2
2.1
2.2
2.3
2.4
Lab ID
To
tal A
lka
loid
s (
%)
CM7
CRM 35 in HAC
NCM in HAC
Lab value
Lab mean
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
1.9
2
2.1
2.2
2.3
2.4
Lab ID
To
tal A
lka
loid
s (
%)
3R4F
CRM 35 in HAC
NCM in HAC
Lab value
Lab mean
RAC-052-1-CTR 2014 Safer Chemistry Collaborative Study – March 2017 45/45
Appendix F – IUPAC 1994 Harmonized Statistical Procedure
IUPAC 1994 HARMONIZED STATISTICAL PROCEDURE
SCREEN OUT NON
VALID DATA
START OF LOOP
CALCULATE PRECISION
MEASURES
(C)
COCHRAN
OUTLYING LAB?
(G)
SINGLE
GRUBBS
OUTLIER?
(G2)
PAIRED
GRUBBS
OUTLIER?
END REPORT
ORIGINAL & LAST
COMPUTED
PRECISION
MEASURES
DROP LAB UNLESS OVERALL
FRACTION OF LABS DROPPED
WOULD EXCEED 2/9
DROP INDIVIDUAL VALUE
DROP LAB UNLESS OVERALL
FRACTION OF LABS DROPPED
WOULD EXCEED 2/9
ANY LABS
DROPPED IN
THIS LOOP
YES
YES
YES
YES
NO
NO
NO
NO
(Gi)SINGLE GRUBBS
OUTLIER ON INDIVIDUAL VALUES
OF COCHRAN OUTLYING
LAB?
YES
DROP LAB UNLESS OVERALL
FRACTION OF LABS DROPPED
WOULD EXCEED 2/9
NO