Bidhan Chandra Krishi Viswavidyalaya, Directorate of Research, All India Network Project on Pesticide Residue Laboratory, Kalyani, Nadia, West Bengal, India, 741235.
Burdwan University, Department of Chemistry, West Bengal, India, 712104.
J AOAC Int. 2020 Jan 1;103(1):62-67. doi: 10.5740/jaoacint.19-0205.
Pesticide residue in fish is a global food safety concern. However, very few validated methods are available targeting simultaneous analysis of multiple classes of pesticides.
The aim of this study was to validate a quick, easy, cheap, effective, rugged, and safe workflow-based method for the quantitative determination of multiclass pesticides in fish matrix using GC-MS determination.
The sample was extracted with acetonitrile, and the cleanup method involved dispersive solid-phase extraction with C-18 sorbent, which effectively scavenged the coextracted matrix components and removed those from the extract. The data on recovery and precision of the method satisfied the criteria of SANTE/11813/2017 guidelines. Average recoveries of pesticides were in the range of 80-120% with precision RSDs ≤20%. The LOD and LOQ were in the ranges of 0.001-0.029 and 0.005-0.125 µg/mL, respectively, for all pesticides. The expanded uncertainty was in the range of 14-20%, based on the single-laboratory validation data (coverage factor, k = 2, confidence level, 95%).
The validation data prove that the method is convenient and acceptable for the routine analysis of multiclass pesticide residues in fish matrices for regulatory compliance.
The study achieves multiresidue analysis of pesticides in fish matrix with MS-based confirmation. The method combines the advantages of nontarget analysis based on National Institute of Standards and Technology library matching in full scan mode with selected-ion monitoring-based sensitivity.
鱼类中的农药残留是一个全球性的食品安全问题。然而,目前可用的方法很少能够针对多种农药进行同时分析。
本研究旨在验证一种基于快速、简便、经济、有效、耐用和安全的工作流程的方法,该方法使用 GC-MS 测定法定量测定鱼类基质中多种类农药。
采用乙腈提取样品,通过 C-18 吸附剂的分散固相萃取进行净化,该方法可有效清除共提取的基质成分并去除提取物中的这些成分。方法的回收率和精密度数据符合 SANTE/11813/2017 指南的标准。农药的平均回收率在 80-120%之间,精密度 RSDs≤20%。所有农药的 LOD 和 LOQ 分别在 0.001-0.029 和 0.005-0.125 µg/mL 范围内。基于单实验室验证数据(覆盖因子,k=2,置信水平,95%),扩展不确定度在 14-20%范围内。
验证数据证明,该方法方便且可接受,可用于监管合规的鱼类基质中多种农药残留的常规分析。
该研究实现了基于 NIST 库全扫描模式下基于非靶向分析的农药在鱼类基质中的多残留分析,并结合了基于选定离子监测的灵敏度的优点。