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用于筛选不同有机污染物转化产物的采集后数据处理。使用液相色谱-电喷雾-四极杆飞行时间质谱仪(LC-ESI-QTOF-MS)和全二维气相色谱-电子轰击-飞行时间质谱仪(GCxGC-EI-TOF-MS)对河水进行为期两年的监测。

Post-acquisition data processing for the screening of transformation products of different organic contaminants. Two-year monitoring of river water using LC-ESI-QTOF-MS and GCxGC-EI-TOF-MS.

作者信息

López S Herrera, Ulaszewska M M, Hernando M D, Martínez Bueno M J, Gómez M J, Fernández-Alba A R

机构信息

European Union Reference Laboratory for Pesticide Residues in Fruits and Vegetables, University of Almeria, Agrifood Campus of International Excellence (ceiA3), 04120, Almería, Spain.

出版信息

Environ Sci Pollut Res Int. 2014 Nov;21(21):12583-604. doi: 10.1007/s11356-014-3187-y. Epub 2014 Jun 22.

Abstract

This study describes a comprehensive strategy for detecting and elucidating the chemical structures of expected and unexpected transformation products (TPs) from chemicals found in river water and effluent wastewater samples, using liquid chromatography coupled to electrospray ionization quadrupole-time-of-flight mass spectrometer (LC-ESI-QTOF-MS), with post-acquisition data processing and an automated search using an in-house database. The efficacy of the mass defect filtering (MDF) approach to screen metabolites from common biotransformation pathways was tested, and it was shown to be sufficiently sensitive and applicable for detecting metabolites in environmental samples. Four omeprazole metabolites and two venlafaxine metabolites were identified in river water samples. This paper reports the analytical results obtained during 2 years of monitoring, carried out at eight sampling points along the Henares River (Spain). Multiresidue monitoring, for targeted analysis, includes a group of 122 chemicals, amongst which are pharmaceuticals, personal care products, pesticides and PAHs. For this purpose, two analytical methods were used based on direct injection with a LC-ESI-QTOF-MS system and stir bar sorptive extraction (SBSE) with bi-dimensional gas chromatography coupled with a time-of-flight spectrometer (GCxGC-EI-TOF-MS).

摘要

本研究描述了一种综合策略,用于检测和阐明河水和污水处理厂出水样品中化学物质预期和意外转化产物(TPs)的化学结构,该策略采用液相色谱-电喷雾电离四极杆-飞行时间质谱仪(LC-ESI-QTOF-MS),并进行采集后数据处理以及使用内部数据库进行自动搜索。测试了质量亏损过滤(MDF)方法从常见生物转化途径中筛选代谢物的效能,结果表明该方法对于检测环境样品中的代谢物具有足够的灵敏度和适用性。在河水样品中鉴定出了四种奥美拉唑代谢物和两种文拉法辛代谢物。本文报告了在西班牙埃纳雷斯河沿线八个采样点进行的为期两年监测期间获得的分析结果。多残留监测用于目标分析,包括一组122种化学物质,其中有药品、个人护理产品、农药和多环芳烃。为此,使用了两种分析方法,一种基于LC-ESI-QTOF-MS系统直接进样,另一种基于搅拌棒吸附萃取(SBSE)结合二维气相色谱-飞行时间光谱仪(GCxGC-EI-TOF-MS)。

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