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利用 UHPLC/ESI Q-Orbitrap 进行果蔬中 845 种农药残留的目标分析(nDATA)的非目标数据采集。

Non-target data acquisition for target analysis (nDATA) of 845 pesticide residues in fruits and vegetables using UHPLC/ESI Q-Orbitrap.

机构信息

Calgary Laboratory, Canadian Food Inspection Agency, 3650-36th Street N.W., Calgary, AB, T2L 2L1, Canada.

Center for Food Safety and Applied Nutrition, US Food and Drug Administration, 5100 Paint Branch Parkway, College Park, MD, 20740, USA.

出版信息

Anal Bioanal Chem. 2019 Mar;411(7):1421-1431. doi: 10.1007/s00216-019-01581-z. Epub 2019 Jan 25.

DOI:10.1007/s00216-019-01581-z
PMID:30680428
Abstract

A non-target data acquisition for target analysis (nDATA) workflow based on accurate mass measurements using UHPLC/ESI Q-Orbitrap full MS-data-independent acquisition and a compound database was developed to screen pesticide residues in fruit and vegetable samples. The compound database of 845 pesticides was built from dd-MS (data-dependent acquisition) product ion spectral data and LC retention times of individual pesticide standards. MS spectra of samples were acquired using multiplexing data-independent acquisition (mDIA) and variable data-independent acquisition (vDIA). Screening of pesticides in samples was based on either the retention time (± 0.5 min) and the mass accuracy (± 5 ppm) of a precursor (RTP by full MS) or the retention time (± 0.5 min) and the mass accuracy (± 5 ppm) of a precursor and its fragment ion (RTFI by full MS/DIA). In validation studies involving mDIA and vDIA analysis of 10 fruits and vegetables spiked with pesticides prior to QuEChERS sample preparation, RTP correctly found up to 765 and 796 pesticides at 10 and 100 μg/kg, respectively, whereas RTFI correctly identified up to 729 and 764 pesticides at the same respective concentrations. UHPLC/ESI Q-Orbitrap full MS/mDIA or vDIA proved to be a comprehensive detection technique and has potential for pesticide residue screening in fruits and vegetables. Graphical Abstract.

摘要

基于准确质量测量的目标分析非靶向数据采集(nDATA)工作流程,使用 UHPLC/ESI Q-Orbitrap 全 MS-数据独立采集和化合物数据库,开发了一种用于筛选水果和蔬菜样品中农药残留的方法。该化合物数据库由 845 种农药的 dd-MS(数据依赖采集)产物离子谱数据和各农药标准品的 LC 保留时间构建而成。采用多重数据非独立采集(mDIA)和可变数据非独立采集(vDIA)采集样品的 MS 光谱。基于母离子(全 MS 的 RTP)的保留时间(±0.5 分钟)和质量精度(±5 ppm)或母离子及其碎片离子(全 MS/DIA 的 RTFI)的保留时间(±0.5 分钟)和质量精度(±5 ppm)对样品中的农药进行筛选。在涉及 QuEChERS 样品前处理前对 10 种水果和蔬菜进行 mDIA 和 vDIA 分析的验证研究中,RTP 正确地在 10 和 100 μg/kg 时分别发现了多达 765 和 796 种农药,而 RTFI 在相同浓度下正确识别了多达 729 和 764 种农药。UHPLC/ESI Q-Orbitrap 全 MS/mDIA 或 vDIA 被证明是一种全面的检测技术,具有在水果和蔬菜中筛选农药残留的潜力。

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