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用于测定小麦中七种新烟碱类农药的高效液相色谱二极管阵列检测法的建立与验证

Development and Validation of a High-Performance Liquid Chromatography Diode Array Detector Method to Measure Seven Neonicotinoids in Wheat.

作者信息

Seccia Serenella, Albrizio Stefania, Morelli Elena, Dini Irene

机构信息

Department of Pharmacy, University of Naples Federico II, Via Domenico Montesano 49, 80131 Napoli, Italy.

出版信息

Foods. 2024 Jul 16;13(14):2235. doi: 10.3390/foods13142235.

Abstract

Neonicotinoids (NEOs), used as insecticides against aphids, whiteflies, lepidopterans, and beetles, have numerous detrimental impacts on human health, including chronic illnesses, cancer, infertility, and birth anomalies. Monitoring the residues in food products is necessary to guarantee public health and ecological balance. The present work validated a new method to measure seven neonicotinoid insecticides (acetamiprid ACT, clothianidin CLT, dinotefuran DNT, imidacloprid IMD, nitenpyram NTP, thiacloprid TCP, and thiamethoxan THT) in wheat. The analytical procedure was based on simple and fast wheat sample cleanup using solid-phase extraction (SPE) to remove interferents and enrich the NEOs, alongside the NEOs' separation and quantification by reverse-phase chromatography coupled with a diode array detector (DAD). The validation process was validated using the accuracy profile strategy, a straightforward decision tool based on the measure of the total error (bias plus standard deviation) of the method. Our results proved that, in the future, at least 95% of the results obtained with the proposed method would fall within the ±15% acceptance limits. The test's cost-effectiveness, rapidity, and simplicity suggest its use for determining the levels of acetamiprid, clothianidin, dinotefuran, imidacloprid, nitenpyram, thiacloprid, and thiamethoxam in routine analyses of wheat.

摘要

新烟碱类杀虫剂(NEOs)被用作防治蚜虫、粉虱、鳞翅目昆虫和甲虫的杀虫剂,对人类健康有许多有害影响,包括慢性病、癌症、不孕不育和出生缺陷。监测食品中的残留量对于保障公众健康和生态平衡至关重要。本研究验证了一种测定小麦中七种新烟碱类杀虫剂(啶虫脒ACT、噻虫胺CLT、呋虫胺DNT、吡虫啉IMD、烯啶虫胺NTP、噻虫啉TCP和噻虫嗪THT)的新方法。分析程序基于使用固相萃取(SPE)对小麦样品进行简单快速的净化,以去除干扰物并富集新烟碱类杀虫剂,同时通过反相色谱结合二极管阵列检测器(DAD)对新烟碱类杀虫剂进行分离和定量。验证过程采用准确度分布图策略进行验证,这是一种基于该方法总误差(偏差加标准偏差)测量的简单决策工具。我们的结果证明,在未来,使用所提出的方法获得的结果中至少95%将落在±15%的接受限内。该测试的成本效益、快速性和简便性表明,它可用于小麦常规分析中啶虫脒、噻虫胺、呋虫胺、吡虫啉、烯啶虫胺、噻虫啉和噻虫嗪含量的测定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/15df/11275328/dc1f31fab880/foods-13-02235-g001.jpg

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