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Pang et al.:

J

ournal of

AOAC I

nternational

V

ol.

98, N

o.

5, 2015 

1451

two teas have totally different matrixes. Owing to the different

matrixes, the system deviation of 0.03 s maximum for pesticide

retention time is normal and will not affect the test results. Here,

we mainly focus on learning from Laboratory 23’s pursuit of

meticulous scientific experimentation.

Laboratory 24: In case of contents of 10 μg/kg peak areas

below the areas of the lowest calibration point; oolong tea:

after dissolution of the residues orange and oily drops, the

solution is light yellow and clear. After membrane filtration

solution clear.

Study Director response: Our review of the collaborative

study result table provided by this laboratory has found that the

detection concentrations for the two compounds triadimefon

and trifloxystrobin in green tea incurred samples from this

laboratory turned out to be 40–50% lower than those from

other laboratories, from which we judge that the determination

results of acetochlor are lower than 10 μg/kg, so no specific

detection results are reported. For this problem, we also found

that similar things happened with Laboratory 21. Based on the

above-mentioned descriptions, Laboratory 24 also discovered

that there are orange and oily drops with oolong tea pesticide

extraction solutions, which became clear after filtration

membrane. We also encountered such a phenomenon, which is

normal and will not affect test results.

Laboratory 25: For oolong tea, had to increase amount of

extraction solution to get a better extraction. For oolong tea, the

high standard (the fifth point) had to be removed to have a good

calibration fit (picoxystrobin, indoxacarb, chlorpyrifos, and

butralin). For oolong tea, used linear 1/x to give more weight

to lower standard.

Study Director response: Laboratory 25 proposed

increasing the amount of extraction solution to get a better

extraction for pesticides in oolong tea, and the Study Director

has not discovered similar problems from other laboratories.

The Study Director considers that pesticide extraction

efficiencies have a lot to do with choice of extraction

solutions and amount as well as extraction equipment used.

As for the homogenizer recommended in this collaborative

study method, we compared the efficiencies of three-time

extraction and two-time extraction. Our findings are that

two-time extraction will suffice for the requirements of

recovery indexes. If Laboratory 25 found that a two-time

extraction cannot suffice for good recoveries, an additional

extraction may also be conducted. For calibration curves of

oolong tea, the high concentration points with deviations

for picoxystrobin, indoxacarb, chlorpyrifos, and butralin are

eliminated from their own calibration curves so as to obtain

better calibration curves, which is feasible. For oolong tea,

using liner 1/x gave more weight to lower stand.

Laboratory 28: No results for butralin due to constant signals

in the given MRM transitions.

Study Director response: Regarding no detection of butralin,

our fault is the major cause for the problem. Because instruments

from Waters are unavailable in our laboratory, the precursor ion

m

/

z

337 of butralin given by a local employee from Waters was

not verified, so using 337 is a mistake. In this collaborative

study, Laboratories 9, 22, 29, and 25 also used instruments

fromWaters, and they found 337 is a mistake through scanning,

and the correct one should be 296. Therefore, an accurate

determination was conducted on butralin. In terms of learning

this lesson, the correct ion information can be obtained and such

mistakes can be discovered by scanning the target pesticides

when encountering similar problems in future experiments. If

it was handled like this, this problem could have been solved

earlier. Having said this, the Study Director is not shirking

responsibility but discussing the problem encountered in order

to find out scientific thinking and solve the problem. In a word,

as the Study Director said before, it is our fault and we caused

the trouble to the laboratory involved.

Conclusions

This collaborative study is one of the priority research items

of AOAC in 2010 and a significant systematic project of three

features as follows:

First, review of 6868 test data and related information from

30 laboratories has found that one laboratory deviated from the

collaborative study operational procedures by not undertaking

the pre-study, leading to a great deal of outliers from its sample

inspection; this laboratory was eliminated. A total of 6638

data from the remaining 29 laboratories are effective results

and were inspected with Grubbs and Dixon test to eliminate

187 outliers, making up 2.8% of the total effective data, of

which 1977 were test data from GC/MS determination, with

65 outliers detected, making up 3.3%; 1704 test data were

from GC/MS/MS determination, with 65 outliers detected,

accounting for 3.8%; and 2957 test data were from LC/MS/MS

determination, with 57 outliers detected, making up 1.9%.

Table 14. Distribution range of RSD

r

, RSD

R

, and HorRat values for incurred samples

Parameters

of method

efficacy

RSD

r

, %

RSD

R

, %

HorRat

Range

<8

8–15

>15

<16

16–25

>25

<0.50 0.50–1

.00 1.01–2.00 >2.00

GC/MS (16 laboratories)

Green tea

2(100)

a

0

0

1(50)

1(50)

0

0

2(100)

0

0

GC/MS/MS (14 laboratories)

Green tea

2(100)

0

0

0

2(100)

0

0

2(100)

0

0

LC/MS/MS (24 laboratories)

Green tea

0

3(100)

0

0

3(100)

0

0

3(100)

0(0)

0

Total

4(57)

3(43)

0

2(29)

5(71)

0

0

7(100)

0(0)

0

a

Data in parentheses are the percentages.