A Modified QuEChERS Sample Preparation Method for the Analysis of 70 Pesticide Residues in Tea Using Gas Chromatography-Tandem Mass Spectrometry

被引:75
|
作者
Chen, Hongping [1 ,2 ]
Yin, Peng [1 ]
Wang, Qinghua [1 ,2 ]
Jiang, Ying [1 ,2 ]
Liu, Xin [1 ,2 ]
机构
[1] Chinese Acad Agr Sci, Tea Res Inst, Hangzhou 310008, Zhejiang, Peoples R China
[2] Minist Agr, Tea Qual & Supervis Testing Ctr, Hangzhou 310008, Zhejiang, Peoples R China
关键词
Pesticide residues; Tea; Multiwalled carbon nanotubes; Gas chromatography-tandemmass spectrometry; MULTIWALLED CARBON NANOTUBES; CHINESE TEAS; CHEMICAL-POLLUTANTS; GREEN TEA; LIQUID; EXTRACTION; CEREALS; FRUIT; ORGANOPHOSPHORUS; MULTICLASS;
D O I
10.1007/s12161-014-9791-0
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
A modified QuEChERS (quick, easy, cheap, effective, rugged, and safe) method for the simultaneous determination of 70 pesticides in tea was developed using gas chromatography-tandem mass spectrometry. Prior to acetonitrile extraction of the target compounds from tea matrix, samples were soaked in distilled water to improve the extraction efficiency. A mixture of adsorbents containing primary-secondary amine, octadecylsilane, graphite carbon black, and multiwalled carbon nanotubes was applied for the cleanup. Additional steps of concentration and solvent exchange were performed to reduce the amount of co-extracts and to decrease the limit of detection of the method. For all pesticides, good linear calibrations with coefficients (R (2)) a parts per thousand yen0.99 were obtained at the concentration levels of 10, or 50 to 1,000 mu g ml(-1). The limits of quantifications (LOQs) were 5-25 mu g ml(-1), respectively. The recovery rates of samples spiked with 20, 100, and 200 mu g kg(-1) of analytes ranged from 71 % to 105 %. In addition, the relative standard deviations were lower than 20 %. A total of 331 tea samples were analyzed using this method, and the levels of five pesticide residues in nine tea samples exceeded the strictest maximum residual limits (MRLs).
引用
收藏
页码:1577 / 1587
页数:11
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