Literature DB >> 19399859

Simultaneous determination of 103 pesticide residues in tea samples by LC-MS/MS.

Zhiqiang Huang1, Ying Zhang, Libing Wang, Li Ding, Meilin Wang, Hongfei Yan, Yongjun Li, Shaohua Zhu.   

Abstract

A simple and sensitive method was developed and validated for the simultaneous determination of 103 pesticide residues in tea by LC-MS/MS. For the analysis of the pesticide with polarity, thermal lability or low volatility, this LC-MS/MS method has an advantage over GC. In this work, residual pesticides were extracted from the tea sample with ACN and then purified using Carb-NH(2) SPE cartridges. Using the multiple reaction monitoring mode, the pesticides were quantified and identified by the most abundant and characteristic fragment ions. The recoveries obtained for each pesticide ranged between 65 and 114% at three spiked concentration levels. The intra-day precisions were lower than 19.6%. Good linear relationships were observed with the correlation coefficients r(2) >0.996 for all analytes. The established method was successfully applied to the determination of pesticide residues in real tea samples.

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Year:  2009        PMID: 19399859     DOI: 10.1002/jssc.200800605

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  3 in total

1.  Colorimetric and fluorometric dual-channel ratiometric determination of fungicide cymoxanil based on analyte-induced aggregation of silver nanoparticles and dually emitting carbon dots.

Authors:  Xiaowen Jiang; Hui Jin; Yujiao Sun; Rijun Gui
Journal:  Mikrochim Acta       Date:  2019-07-27       Impact factor: 5.833

2.  Estimated assessment of cumulative dietary exposure to organophosphorus residues from tea infusion in China.

Authors:  Pei Cao; Dajin Yang; Jianghui Zhu; Zhaoping Liu; Dingguo Jiang; Haibin Xu
Journal:  Environ Health Prev Med       Date:  2018-02-14       Impact factor: 3.674

3.  Simultaneous Determination and Health Risk Assessment of Four High Detection Rate Pesticide Residues in Pu'er Tea from Yunnan, China.

Authors:  Tao Lin; Xing-Lian Chen; Jin Guo; Meng-Xia Li; Yu-Feng Tang; Mao-Xuan Li; Yan-Gang Li; Long Cheng; Hong-Cheng Liu
Journal:  Molecules       Date:  2022-02-04       Impact factor: 4.411

  3 in total

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