Literature DB >> 25618250

Development of a more specific and accurate multiple reaction monitoring method based on GC-EI/MS/MS for simultaneously monitoring and determining 34 kinds of pesticides in Qianjinzhidai pills.

Yunbin Jiang1, Mei Zhong2, Yan Gou3, Wei Peng1, Juan Zhou3, Pie Wu3, Yuying Ma4.   

Abstract

A rapid and accurate multi-residue method was developed for simultaneously monitoring and determining 34 kinds of pesticides by GC-EI/MS/MS, successfully applied in Qianjinzhidai pills. Precision, repeatability, stability, limit of detection (LOD), limit of quantification (LOQ), linearity range and accuracy tests were used to validate this method. The results, precision (RSD<2%, n=6), repeatability (RSD<2%, n=6) and stability (RSD<2%, n=6), LOD (lower than 0.02mg/kg), LOQ (lower than 0.067mg/kg), linearity range (0.016-39.270μg/mL), recoveries (90-110%, RSD<15%, n=6), indicated that the method was feasible. This paper provided an optimization method about ion transitions which can improve the specificity of mass spectrum monitoring and the accuracy of content determination. This method can be also used to monitor and determine pesticide residues of other traditional Chinese medicine, but it was worth noting that the ion transitions should been again optimized according to the sample matrix.
Copyright © 2015 Elsevier B.V. All rights reserved.

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Keywords:  Content determination; GC–EI/MS/MS; Ion transitions; Monitoring; Pesticide residues; Qianjinzhidai pills

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Year:  2015        PMID: 25618250     DOI: 10.1016/j.jchromb.2015.01.002

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  1 in total

1.  Dissipation kinetics and degradation mechanism of amicarbazone in soil revealed by a reliable LC-MS/MS method.

Authors:  Maofeng Dong; Wei Han; Emmanuel Njumbe Ediage; Liangxiu Fan; Hongxia Tang; Weimin Wang; Lijun Han; Zhihui Zhao; Weiguo Song; Zheng Han
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-04       Impact factor: 4.223

  1 in total

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