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用于农业受影响水样中农药定量和可疑物筛查的液相色谱-四极杆飞行时间质谱数据非依赖型采集的评估。

Assessment of LC-QTOF-MS data independent acquisition for quantification and suspect screening of pesticides in agriculture impacted water samples.

作者信息

Fernández-Fernández V, Castro G, Ramil M, Rodríguez I

机构信息

Department of Analytical Chemistry, Nutrition and Food Sciences, ARCUS - Aquatic One Health Research Centre, Universidade de Santiago de Compostela, R/Constantino Candeira 5, 15782, Santiago de Compostela, Spain.

Department of Analytical Chemistry, Nutrition and Food Sciences, ARCUS - Aquatic One Health Research Centre, Universidade de Santiago de Compostela, R/Constantino Candeira 5, 15782, Santiago de Compostela, Spain.

出版信息

J Chromatogr A. 2025 Jun 21;1751:465957. doi: 10.1016/j.chroma.2025.465957. Epub 2025 Apr 13.

Abstract

Assessing the impact of agricultural pesticides, and their potential transformation products, in surface (SW) and groundwater (GW) requires the application of target and screening methodologies to cover the maximum number of species. This research investigates the performance of the data independent acquisition (DIA) mode for the quantification of target compounds and the suspect screening of additional pesticides in SW and GW based on a single chromatographic run. Samples were analysed using a liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) platform, combined with an on-line solid-phase extraction (SPE) step. A suite of fungicides and insecticides, widely employed in intensive viticulture areas, was selected to assess the performance of target and screening methodologies in combination with a database of product ion spectra for more than 700 pesticides. As regards quantification of targets, the method achieved limits of quantification (LOQs) between 2 ng l and 25 ng l, with linear responses from LOQs up to 500 ng l. Accuracy remained between 70 % and 120 %, based on the use of ultrapure water calibration standards. Suspect screening permitted the identification of 90 % of tested compounds when added to SW and GW at levels above 50 ng l, improving the percentage of correct identifications versus those attained operating the LC-QTOF-MS platform in the data dependent acquisition (DDA) mode.

摘要

评估农用农药及其潜在转化产物对地表水(SW)和地下水(GW)的影响,需要应用目标分析和筛查方法,以涵盖尽可能多的物种。本研究基于一次色谱运行,调查了数据非依赖型采集(DIA)模式对目标化合物定量以及对SW和GW中其他农药进行可疑物筛查的性能。使用液相色谱四极杆飞行时间质谱(LC-QTOF-MS)平台结合在线固相萃取(SPE)步骤对样品进行分析。选择了一套在集约化葡萄种植区广泛使用的杀菌剂和杀虫剂,结合700多种农药的产物离子光谱数据库,评估目标分析和筛查方法的性能。关于目标物的定量,该方法的定量限(LOQ)在2 ng/L至25 ng/L之间,从LOQ到500 ng/L呈线性响应。基于使用超纯水校准标准品,准确度保持在70%至120%之间。当以高于50 ng/L的水平添加到SW和GW中时,可疑物筛查能够鉴定出90%的测试化合物,与在数据依赖型采集(DDA)模式下操作LC-QTOF-MS平台相比,提高了正确鉴定的百分比。

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