Table of Contents Table of Contents
Previous Page  293 / 363 Next Page
Information
Show Menu
Previous Page 293 / 363 Next Page
Page Background

S

chneider

&

A

ndersen

:

J

ournal of

AOAC I

nternational

V

ol

.

98, N

o

. 3, 2015 

665

BG treatment bath for 1 h (12). By comparison, the salmon and

catfish incurred for this collaborative study were exposed to

only 2 µg/L of BG for 1 h.

Preliminary Data Analysis

All reported data were compiled and examined for validity.

Data were omitted for cause when participants reported specific

difficulties, such as a sample being lost due to spillage, or

inadvertent combination with another sample. While Method

2012.25

allows the measure of linear correlation to be as low as

R

2

= 0.95, in this collaborative study, single outlier calibration

points were excluded from the calibration when R

2

was less

than 0.99 and the omission of one point would result in R

2

≥0.99

correlation for the remaining five calibrants. In three instances

(CV in catfish for one laboratory, MG and BG in shrimp for

another), linear correlation could not be achieved by deletion of

a single calibration point. For these three, all data reported by

the laboratory for the particular analyte in the particular matrix

were omitted from the statistical analysis.

Statistical Analysis

A determination of repeatability and reproducibility was

performed using the AOAC International Interlaboratory Study

Workbook for Blind (Unpaired) Replicates, v. 2.1 (14), which

was developed to implement the AOAC INTERNATIONAL

guidelines for the AOAC Official Method Program (15).

Table 4(a). CC

α

and CC

β

for triphenylmethane dyes and metabolites in seafood matrix

CCα, μg/kg

CC

β

, μg/kg

MG

LMG

CV

LCV

BG

MG

LMG

CV

LCV

BG

Salmon

0.24

0.17

0.18

0.29

0.35

0.27

0.19

0.20

0.33

0.38

Catfish

0.27

0.17

0.21

0.15

0.41

0.31

0.19

0.24

0.17

0.45

Shrimp

0.29

0.14

0.32

0.28

0.43

0.33

0.16

0.36

0.32

0.49

Table 4(b). MDL and LOQ for triphenylmethane dyes and metabolites in seafood matrix

MDL, μg/kg

LOQ, μg/kg

Salmon

0.12

0.07

0.07

0.11

0.21

0.47

0.27

0.26

0.45

0.85

Catfish

0.13

0.06

0.12

0.12

0.30

0.53

0.24

0.47

0.47

1.22

Shrimp

0.33

0.09

0.23

0.09

0.34

1.35

0.38

0.91

0.35

1.35

Table 5. Comparison of the accuracy (trueness and precision) of 0.9 µg/kg fortified samples using three different

calibration methods for residue quantification; data represents duplicate matrix spikes from 10 laboratories (

n

= 20)

MG

LMG

CV

LCV

BG

Trueness,

(avg.

recovery, %) RSD, %

Trueness,

(avg.

recovery, %) RSD, %

Trueness,

(avg.

recovery, %) RSD, %

Trueness,

(avg.

recovery, %) RSD, %

Trueness,

(avg.

recovery, %) RSD, %

Salmon

Extracted matrix

a

95.3

17.7

101.1

11.9

99.5

8.7

102.4

8.8

99.1

14.8

Post-extraction

fortified matrix

b

96.8

19.2

112.4

11.3

113.4

8.4

116.5

11.0

162.8

28.0

Solvent

c

84.6

14.6

101.2

18.5

104.1

10.5

103.2

10.8

128.4

40.3

Catfish

Extracted matrix

77.5

24.2

107.7

6.3

101.8

8.6

105.2

6.7

90.4

26.2

Post-extraction

fortified matrix

88.8

22.9

116.2

5.7

115.1

6.0

115.2

4.7

163.2

30.5

Solvent

79.3

25.9

104.2

7.4

113.1

10.8

95.5

18.8

140.1

42.6

Shrimp

Extracted matrix

95.3

17.7

105.4

7.8

105.6

15.9

105.9

5.6

101.0

24.7

Post-extraction

fortified matrix

105.5

15.3

118.2

7.2

125.7

21.0

113.3

7.0

145.2

19.5

Solvent

92.9

14.5

102.0

12.0

117.8

27.8

102.9

19.7

120.3

27.6

a

 Matrix fortified at calibration concentrations and then extracted to produce a set of six standards: 0, 0.25, 0.5, 1.0, 2.5, and 5.0 µg/kg (tissue

equivalent

d

).

b

 Calibration standard based on one portion of tissue extracted and the matrix extract fortified at a concentrations of 1.0 µg/kg (tissue equivalent).

c

 Six standards prepared in solution at tissue equivalent concentrations.

d

 Concentrations are equivalent to the amount present in the 2 g sample portion. Method results in a 2.5-fold concentration of residues in the extracts.

Candidates for 2016 Method of the Year

292