Development and Validation of a Multiresidue Method for Simultaneous Analysis of 451 Multiclass Pesticides in Fodder Crops.

IF 1.7
Sonu Kumar Mahawer, Sachin C Ekatpure, Narendra Kulkarni, Kaushik Banerjee
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Abstract

Background: Fodder crops are widely used as main ingredients of animal feed products. To combat pest infestations, farmers often apply pesticides on farms, the residual content of which may accumulate at or beyond toxic levels in/on the green fodder at the stage of harvest. To safeguard animals and humans (through ecological food chains) from these residual pesticides, both domestic and commercial programs are necessary to monitor the levels of pesticide residues in food and feed. Nonetheless, the existing methods exhibit constraints regarding scope, selectivity, and sensitivity. These limitations warranted a high-throughput, multiresidue method for monitoring and risk assessment of multiclass pesticides in fodder crops.

Objective: The study aimed to develop and validate a multiresidue method for the simultaneous analysis of 451 multiclass pesticides, their isomers, and metabolites of toxicological concern in three widely used fodder crops, namely sorghum, maize, and lucerne.

Methods: The well-homogenized samples of sorghum, maize, and lucerne (10 g) were extracted with acetonitrile (10 mL). An aliquot of the extract was cleaned by dispersive solid phase extraction (dSPE) with graphitized carbon black (GCB, 7.5 mg/mL). The method performance was evaluated for a mixture of multiclass pesticides at 10 µg/kg and 20 µg/kg using liquid and gas chromatography with tandem mass spectrometry (LC-MS/MS and GC-MS/MS).

Results: The GC-MS/MS and LC-MS/MS techniques allowed analyses of the test pesticides within chromatographic runtimes of 17 min and 20 min, respectively. The method's performance using matrix-matched calibration was satisfactory for all compounds (recoveries = 70-120%, repeatability-RSD, <20%) at 10 and 20 µg/kg in three studied matrices.

Conclusions: The method successfully determined the residues of all tested compounds in each fodder matrix. It demonstrates satisfactory selectivity, accuracy, and repeatability. Given all of these, it is recommended for regulatory and commercial testing purposes.

Highlights: A high-throughput residue analysis method targeting 451 compounds in sorghum, maize, and lucerne involved a single multiresidue extraction, followed by dSPE cleanup with analysis using LC-MS/MS and GC-MS/MS. The method sensitivity met the EU-MRLs, and performance complied with the SANTE/11312/2021's quality control criteria.

饲料作物中451种多类农药多残留分析方法的建立与验证。
背景:饲料作物作为动物饲料产品的主要原料被广泛使用。为了防治虫害,农民经常在农场施用农药,在收获阶段,农药残留在青饲料上的含量可能达到或超过有毒水平。为了保护动物和人类(通过生态食物链)免受这些残留农药的侵害,国内和商业项目都有必要监测食品和饲料中的农药残留水平。尽管如此,现有的方法在范围、选择性和敏感性方面存在局限性。这些局限性为饲料作物中多类农药的高通量、多残留监测和风险评估提供了依据。目的:建立并验证一种多残留分析方法,用于同时分析高粱、玉米和苜蓿中451种多类农药及其异构体和代谢物的毒理学问题。方法:用乙腈(10 mL)提取均匀的高粱、玉米和苜蓿(10 g)样品。采用石墨化炭黑(GCB, 7.5 mg/mL)分散固相萃取(dSPE)对提取物进行清洗。采用液相和气相色谱-串联质谱(LC-MS/MS和GC-MS/MS)对10µg/kg和20µg/kg的多类农药混合物进行了性能评价。结果:GC-MS/MS和LC-MS/MS技术可在色谱运行时间分别为17 min和20 min的情况下对待测农药进行分析。结果表明,该方法对所有化合物的加样回收率为70 ~ 120%,重复性rsd均较好。结论:该方法可成功测定各饲料基质中所有被试化合物的残留量。它显示了令人满意的选择性、准确性和可重复性。鉴于所有这些,建议用于监管和商业测试目的。重点:建立了一种针对高粱、玉米和苜蓿中451种化合物的高通量残留物分析方法,该方法采用单次多残留物提取,然后使用LC-MS/MS和GC-MS/MS进行dSPE清理。该方法灵敏度满足EU-MRLs,性能符合SANTE/11312/2021质量控制标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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