Simultaneous determination of 58 pesticides and relevant metabolites in eggs with a multi-functional filter by ultra-high performance liquid chromatography-tandem mass spectrometry

文献类型： 外文期刊

第一作者： Zhang, Xining

作者： Zhang, Xining;Song, Yue;Jia, Qi;Zhang, Lin;Zhang, Wei;Qian, Yongzhong;Qiu, Jing;Zhang, Xining;Song, Yue;Jia, Qi;Zhang, Lin;Zhang, Wei;Qian, Yongzhong;Qiu, Jing;Mu, Pengqian;Jia, Yanbo

作者机构：

关键词： Pesticides; Eggs; UHPLC-MS/MS; Multi-functional filter; QuEChERS

期刊名称：JOURNAL OF CHROMATOGRAPHY A （ 影响因子：4.759； 五年影响因子：4.302 ）

ISSN： 0021-9673

年卷期： 2019 年 1593 卷

页码：

收录情况： SCI

摘要： A sensitive method for the simultaneous determination of 58 pesticides and relevant metabolites in eggs was developed using ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) after clean-up with a multi-functional filter (MFF) based on quick, easy, cheap, effective, rugged, and safe method (QuEChERS). The egg sample was extracted with 5 ml water and 10 ml 1% acetic acid in acetonitrile and then salt out with sodium chloride. The extracted solution was filtered directly through an MFF containing 50 mg PSA, 50 mg C18, and 150 mg magnesium sulphate before UHPLC-MS/MS analysis. The clean-up and filter procedures were integrated using the MFF to substantially improve the work efficiency. Good linearity was shown for each analyte, and all the correlation coefficients exceeded 0.99. The recoveries in the eggs at the five spiked levels were 74.4%-115.2%, and the relative standard deviations (RSDs) were less than 15.3%. The limit of detection (LOD) and the limit of quantitation (LOQ) of 58 pesticides and 8 metabolites in eggs were 0.1-1.0 mu g/kg and 0.2-5.0 mu g/kg, respectively. The decision limit (CC alpha) and detection capacity (CC beta) were 3.4-111.1 mu g/kg and 6.8-122.1 mu g/kg, respectively. This method has also been successfully applied in the determination of actual eggs samples. This developed method is more effective and faster in the monitoring of pesticide residue in eggs compared to the traditional analytical method. (C) 2019 Elsevier B.V. All rights reserved.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序