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Pang et al.:

J

ournal of

AOAC I

nternational

V

ol.

98, N

o.

5, 2015 

1429

1704 GC/MS/MS results (3.8%), and 57 outlier results

out of 2957 LC/MS/MS results (1.9%), representing

0.98, 0.98, and 0.86%, respectively, of the 6638

results generated in the study. Analysis with the

AOAC statistical software package also confirmed

that the method is rugged, and average recovery,

average concentration, RSD

r

, RSD

R

, and HorRat

values all meet recovery and reproducibility criteria

for use in multiple laboratories. The Study Director is

recommending this method for adoption as an AOAC

First Action

Official Method

SM

.

T

ea is considered to be one of the three most consumed

beverages in the world and is enjoyed by over 2.0 billion

people from more than 160 countries and regions

in the world (1). It is reported that in 2011 alone, more than

50 countries around the globe grew tea, with tea plantation

areas covering about 3.2 million hectares with an annual output

of 4.7 million tons. China, India, Kenya, Sri-Lanka, and Turkey

are the world’s five largest tea producers, and their tea output

makes up about 76% of the total world production (2). Tea

grows mostly in warm temperate zones and subtropical regions

and is subject to threats from diseases and pest infestations, so

pesticides are widely used and hence the potential threat from

pesticide residue contamination. At present, 17 countries and

international organizations, including the Codex Alimentarius

Commission, the European Union (EU), Germany, Holland,

Switzerland, Hungary, Israel, Italy, China, Japan, Korea,

United States, Australia, India, Kenya, and South Africa (until

2006), have established maximum residue limits (MRLs)

for over 800 pesticide residues (3). With growing awareness

of the effect of food contamination on consumer health, an

increasing demand to move to organic farming practices, and

the capability of today’s analytical laboratories to detect lower

and lower levels of contamination in foods, it is imperative that

high throughput multiclass, multianalyte methods be available

to monitor residues of pesticides and other contaminants in

a high-production food like tea. It is for this reason that this

method was developed.

There are over 1000 listed pesticides and chemical

contaminants used around the world for agricultural purposes. In

the early 2000s, the author’s team focused on the development

of sensitive analytical methods and have published a series of

papers (4–9) covering the study of the persistence of between

400 and 500 pesticide residues in 20 agricultural and fishery

products including fruits and vegetables (10, 11), grains (12, 13),

teas (14, 15), Chinese medicinal herbs (16, 17), edible

fungi (mushrooms; 18, 19), animal tissues (20, 21), aquatic

products (22, 23), raw milk and milk powders (24, 25), honey,

fruit juices and fruit wines (26–28), and potable water (29).

Since 2009, the authors have developed analytical methods

for the determination and confirmation of 653 pesticide residues

in tea and used the method to conduct some pivotal studies in an

attempt to obtain a better understanding of the fate, distribution,

and persistence of pesticide residues in tea. The method was

used to conduct:

(

1

)

a 3-month stability study for 460 pesticides in six

different types of solutions

(

2

)

a 3-month stability study for 345 pesticides in tea

(

3

)

a 3-month detection study on deviation ratios of 275

pesticides in Youden paired tea samples

(

4

)

a 3-month study of the ruggedness of the method

(

5

)

a 3-month study on the degradation kinetics for 227

pesticides in aged tea samples

(

6

)

a 3-month verification study of the applicability

of EU performance criteria standard (EU Document

No. SANCO/10684/2009) (30) in an AOAC collaborative study

(

7

)

a 3-month experimental field study on the degradation

patterns and stability of pesticides in incurred tea samples

Most recently (2011–2012), the method was used in a

comparative study to evaluate the influence of tea hydration on

the extraction efficiency of the pesticide multiresidue method

to extract pesticide residues from tea (31). The extensive

research conducted over almost 4 years has generated over

500 000 test results. The research results, at different stages,

were presented and discussed at four AOAC Annual Meetings

from 2009 to 2012, and a series of related papers were

published subsequently (32–35). This AOAC collaborative

study was conducted to complete the requirements for final

consideration under the AOAC

Official Methods

SM

process.

Thirty laboratories from 11 countries and regions participated

in the collaborative study. A total of 560 samples were

analyzed using GC/MS, GC/MS/MS, and/or LC/MS/MS.

Three categories of samples were included: fortified green tea,

fortified oolong tea, aged samples from oolong tea, and incurred

samples from green tea. This paper describes the results of the

collaborative study.

Collaborative Study Protocol

Need/Purpose

The purpose of this collaborative study was to evaluate the

reproducibility of the single-laboratory validated analytical

method for the determination and confirmation of 653 multiclass

pesticide residues in tea and determine whether it meets the

criteria for consideration as an AOAC First Action

Official

Method

.

Scope/Applicability

This method is applicable for the qualitative, quantitative, and

confirmatory analysis of 653 pesticides and chemical pollutant

residues in tea (green tea, black tea, oolong tea, and puer tea).

The LOQs for 490 pesticides determined by GC/MS ranged

between 1.0 and 500 μg/kg and between 0.03 and 4820 μg/kg

for 448 pesticides determined by LC/MS/MS. This method was

also demonstrated to be suitable for the regulatory monitoring

of pesticide residues in tea in some countries where there are

applicable MRLs.

Materials and Matrixes

Design of the validation plan for the multilaboratory

collaborative study:

(a) 

Scope of analytes to include in the collaborative

study.

—It would be unimaginably difficult in terms of

resources, time, and personnel for each collaborator to

participate in a collaborative study on a method such as

this one that covers residues of 653 pesticides and chemical