Suppr超能文献

建立并验证了一种采用液相色谱-串联质谱法和气相色谱-串联质谱法对芝麻中多种农药残留进行分析的方法。

Development and validation of an analytical method for the multiresidue analysis of pesticides in sesame seeds using liquid- and gas chromatography with tandem mass spectrometry.

机构信息

National Reference Laboratory, ICAR-National Research Centre for Grapes, P.O. Manjri Farm, Pune 412 307, INDIA.

EURL for Single Residue Methods, Schaflandstrasse 3/2, D-70736 Fellbach, Germany.

出版信息

J Chromatogr A. 2021 Aug 30;1652:462346. doi: 10.1016/j.chroma.2021.462346. Epub 2021 Jun 15.

Abstract

For the first time, an analytical method for the multiresidue analysis of multiclass pesticides in sesame seeds using liquid- and gas chromatography with tandem mass spectrometry (LC-MS/MS and GC-MS/MS) was developed and validated. At first, the sample was comminuted after adding water (1:2 w/v). The sample preparation workflow included acetonitrile extraction, followed by freeze-out of the extract at -80°C with a subsequent cleanup by dispersive solid phase extraction (dSPE) (100 mg of C + 150 mg of MgSO for LC-MS/MS and 100 mg of C + 25 mg florisil + 150 mg of MgSO for GC-MS/MS). As noted, these cleanup steps were quite effective in removing the fatty co-extractives. The optimised sample preparation method effectively minimised the matrix effects and offered a limit of quantification (LOQ) of 0.01 mg/kg for most compounds. The LC-MS/MS and GC-MS/MS methods were validated at three levels (0.01, 0.02 and 0.05 mg/kg) for 222 and 220 compounds respectively. The method accuracy and precision complied with the performance criteria of the SANTE/12682/2019 analytical quality control procedure. The results of the intra-laboratory (involving six analysts) and inter-laboratory studies (involving eight accredited laboratories) were comparable for all pesticides. Considering its performance efficiency and alignment with the regulatory guidelines, this method can be implemented across the food testing laboratories for the monitoring of pesticide residues in sesame seeds.

摘要

首次开发并验证了一种使用液相色谱-串联质谱(LC-MS/MS 和 GC-MS/MS)和气相色谱-串联质谱(GC-MS/MS)分析芝麻中多类农药多残留的分析方法。首先,将样品粉碎后加入水(1:2 w/v)。样品制备流程包括乙腈提取,然后在-80°C 下冷冻萃取物,随后通过分散固相萃取(dSPE)进行净化(LC-MS/MS 用 100mg C+150mg MgSO,GC-MS/MS 用 100mg C+25mg 弗罗里硅土+150mg MgSO)。如前所述,这些净化步骤非常有效地去除了脂肪共提物。优化后的样品制备方法有效地最小化了基质效应,并为大多数化合物提供了 0.01mg/kg 的定量限(LOQ)。LC-MS/MS 和 GC-MS/MS 方法分别在三个水平(0.01、0.02 和 0.05mg/kg)下对 222 和 220 种化合物进行了验证。该方法的准确度和精密度符合 SANTE/12682/2019 分析质量控制程序的性能标准。所有农药的实验室内部(涉及六名分析员)和实验室间研究(涉及八个认可的实验室)的结果都是可比的。考虑到其性能效率和与监管指南的一致性,该方法可以在食品检测实验室中实施,以监测芝麻中的农药残留。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验