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Multi-residue determination of 325 pesticides in chicken eggs with EMR-Lipid clean-up by UHPLC-MS/MS and GC-MS/MS

机译:用UHPLC-MS / MS和GC-MS / MS与EMR-LIPID清理鸡蛋中325个农药的多残余物测定

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摘要

Eggs are one of the most common foods in the world, and their safety is a major concern for the public. We aimed to develop a novel clean-up approach named Bond Elut Enhanced Matrix Removal-Lipid (EMR-Lipid) for the simultaneous determination of 325 pesticides in the chicken egg by UHPLC-MS/MS and GC-MS/MS. The initial step of extraction was adopted by acetonitrile with 5% formic acid and subsequent adoption of EMR-Lipid d-SPE for further clean-up. Compared with the traditional C18 procedure, EMR-Lipid clean-up achieved a superior degreasing effect. The recoveries of at least 85% of pesticides were in the range of 60-120% at three fortified levels and the relative standard deviation of nearly 96% of analytes were within the limits of criteria. Improved linearity was evaluated using a matrix-matched calibration at eight concentrations in the range 0.1-40 mu g/kg; the correlation coefficients of 309 analytes were exceeding 0.99. The new method offered quick, reliable and consistent detection and quantification of 325 pesticide residues, thereby demonstrating promising future for sample testing.
机译:鸡蛋是世界上最常见的食物之一,他们的安全是公众的主要关注点。我们的目标是开发一种名为Bond Elut增强基质去除 - 脂质(EMR-LIPID)的新型清理方法,用于通过UHPLC-MS / MS和GC-MS / MS同时测定鸡卵中的325个农药。用5%甲酸采用乙腈采用初始萃取步骤,随后采用EMR-Lipid D-SPE进行进一步清理。与传统的C18程序相比,EMR-脂质清理取得了卓越的脱脂效果。至少85%的农药的回收率在三个强化水平的范围内为60-120%,近96%的分析物的相对标准偏差在标准的范围内。使用矩阵匹配的校准在0.1-40μmg/ kg范围内使用矩阵匹配的校准来评估改进的线性度; 309分析物的相关系数超过0.99。新方法提供了快速,可靠且一致的325种农药残留的检测和定量,从而展示了对样品测试的有希望的未来。

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