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使用液相色谱-四极杆-飞行时间质谱联用自动检测技术对水果和蔬菜中农药进行分析的准确质量筛查方法的评估与验证

Evaluation and validation of an accurate mass screening method for the analysis of pesticides in fruits and vegetables using liquid chromatography-quadrupole-time of flight-mass spectrometry with automated detection.

作者信息

López Mónica García, Fussell Richard J, Stead Sara L, Roberts Dominic, McCullagh Mike, Rao Ramesh

机构信息

Food and Environment Research Agency, Sand Hutton, York YO41 1LZ, United Kingdom.

Food and Environment Research Agency, Sand Hutton, York YO41 1LZ, United Kingdom.

出版信息

J Chromatogr A. 2014 Dec 19;1373:40-50. doi: 10.1016/j.chroma.2014.10.099. Epub 2014 Nov 5.

Abstract

This study reports the development and validation of a screening method for the detection of pesticides in 11 different fruit and vegetable commodities. The method was based on ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry (UPLC-QTOF-MS). The objective was to validate the method in accordance with the SANCO guidance document (12571/2013) on analytical quality control and validation procedures for pesticide residues analysis in food and feed. Samples were spiked with 199 pesticides, each at two different concentrations (0.01 and 0.05 mg kg(-1)) and extracted using the QuEChERS approach. Extracts were analysed by UPLC-QTOF-MS using generic acquisition parameters. Automated detection and data filtering were performed using the UNIFI™ software and the peaks detected evaluated against a proprietary scientific library containing information for 504 pesticides. The results obtained using different data processing parameters were evaluated for 4378 pesticide/commodities combinations at 0.01 and 0.05 mg kg(-1). Using mass accuracy (± 5 ppm) with retention time (± 0.2 min) and a low response threshold (100 counts) the validated Screening Detection Limits (SDLs) were 0.01 mg kg(-1) and 0.05 mg kg(-1) for 57% and 79% of the compounds tested, respectively, with an average of 10 false detects per sample analysis. Excluding the most complex matrices (onion and leek) the detection rates increased to 69% and 87%, respectively. The use of additional parameters such as isotopic pattern and fragmentation information further reduced the number of false detects but compromised the detection rates, particularly at lower residue concentrations. The challenges associated with the validation and subsequent implementation of a pesticide multi-residue screening method are also discussed.

摘要

本研究报告了一种用于检测11种不同水果和蔬菜商品中农药的筛查方法的开发与验证。该方法基于超高效液相色谱 - 四极杆 - 飞行时间质谱法(UPLC - QTOF - MS)。目的是根据关于食品和饲料中农药残留分析的分析质量控制和验证程序的SANCO指导文件(12571/2013)对该方法进行验证。样品添加了199种农药,每种农药有两种不同浓度(0.01和0.05 mg kg⁻¹),并采用QuEChERS方法进行提取。提取物通过UPLC - QTOF - MS使用通用采集参数进行分析。使用UNIFI™软件进行自动检测和数据过滤,并将检测到的峰与包含504种农药信息的专有科学库进行比对评估。针对4378种农药/商品组合在0.01和0.05 mg kg⁻¹浓度下,评估了使用不同数据处理参数获得的结果。使用质量准确度(±5 ppm)、保留时间(±0.2分钟)和低响应阈值(100计数),验证后的筛查检测限(SDLs)分别为所测试化合物的57%和79%,分别为0.01 mg kg⁻¹和0.05 mg kg⁻¹,每次样品分析平均有10次误检。排除最复杂的基质(洋葱和韭菜)后,检测率分别提高到69%和87%。使用诸如同位素模式和碎片信息等附加参数进一步减少了误检数量,但损害了检测率,特别是在较低残留浓度下。还讨论了与农药多残留筛查方法的验证及后续实施相关的挑战。

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