基于二维液相色谱-高分辨质谱联用技术构建复杂农产品基质中农药多残留的非靶向筛查策略

A comprehensive screening strategy for non-targeted analysis of pesticide multi-residues in complex agricultural matrices using two-dimensional liquid chromatography coupled with high-resolution mass spectrometry

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DOI 10.12208/j.jafs.20250014
刊名
Journal of Agriculture and Food Science
年,卷(期) 2025, 5(2)
作者
作者单位

恩施州公共检验检测中心 湖北恩施

摘要
针对复杂农产品基质中农药残留种类繁多、化学性质差异大以及传统分析方法覆盖范围有限的问题,本研究开发了一种基于二维液相色谱-高分辨质谱(2D-LC-HRMS)联用技术的非靶向筛查策略。通过优化在线固相萃取与二维色谱分离条件,结合信息非依赖采集模式,建立了涵盖1210种农药、兽药及其他污染物的筛查方法。该方法显著提高了色谱分离能力,将分析物的log P覆盖范围扩展至-8至12。在草莓实际样本检测中,成功筛查出67种母体农药及57种转化产物,证明了该方法在发现未知农药及其转化产物方面的优势。本研究为复杂农产品基质中农药多残留的高通量筛查提供了可靠技术支撑。
Abstract
To address the challenges of diverse pesticide residues in complex agricultural matrices and the limited coverage of traditional analytical methods, this study developed a non-targeted screening strategy based on two-dimensional liquid chromatography coupled with high-resolution mass spectrometry (2D-LC-HRMS). By optimizing online solid-phase extraction and two-dimensional chromatographic separation conditions, combined with data-independent acquisition mode, we established a screening method covering 1210 pesticides, veterinary drugs, and other contaminants. This method significantly improved chromatographic separation capability, extending the log P coverage range of analytes from -8 to 12. In practical strawberry sample analysis, 67 parent pesticides and 57 transformation products were successfully screened, demonstrating the method's advantage in discovering unknown pesticides and their transformation products. This research provides reliable technical support for high-throughput screening of pesticide multi-residues in complex agricultural matrices.
关键词
二维液相色谱-高分辨质谱;非靶向筛查;农药多残留;复杂农产品基质;转化产物
KeyWord
Two-dimensional liquid chromatography-high resolution mass spectrometry; Non-targeted screening; Pesticide multi-residues; Complex agricultural matrices; Transformation products
基金项目
页码 16-19
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李芳操, 蒲婉欣, 姚雪. 基于二维液相色谱-高分辨质谱联用技术构建复杂农产品基质中农药多残留的非靶向筛查策略 [J]. 农业与食品科学. 2025; 5; (2). 16 - 19.

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