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通过嫌疑筛查和非靶向筛查相结合的方法鉴定废水中的新型微污染物。

Identification of novel micropollutants in wastewater by a combination of suspect and nontarget screening.

机构信息

UFZ-Helmholtz Centre for Environmental Research, Department Effect-Directed Analysis, Permoserstr. 15, 04318 Leipzig, Germany; RWTH Aachen University, Department of Ecosystem Analyses, Institute for Environmental Research, Worringerweg 1, 52074 Aachen, Germany.

出版信息

Environ Pollut. 2014 Jan;184:25-32. doi: 10.1016/j.envpol.2013.07.048. Epub 2013 Sep 6.

Abstract

To detect site-specific, suspected and formerly unknown contaminants in a wastewater treatment plant effluent, we established a screening procedure based on liquid chromatography-high resolution mass spectrometry (LC-HRMS) with stepwise identification schemes. Based on automated substructure searches a list of 2160 suspected site-specific and documented water contaminants was reduced to those amenable to LC-HRMS. After searching chromatograms for exact masses of suspects, presumably false positive detections were stepwise excluded by retention time prediction, the evaluation of isotope patterns, ionization behavior, and HRMS/MS spectra. In nontarget analysis, peaks for identification were selected based on distinctive isotope patterns and intensity. The stepwise identification of nontarget compounds was automated by a plausibility check of molecular formulas using the Seven Golden Rules, an exclusion of compounds with presumably low commercial importance and an automated HRMS/MS evaluation. Six suspected and five nontarget chemicals were identified, of which two have not been previously reported as environmental pollutants.

摘要

为了检测污水处理厂废水中特定位置、疑似和先前未知的污染物,我们建立了一种基于液相色谱-高分辨质谱(LC-HRMS)的筛选程序,并采用逐步鉴定方案。通过自动化的子结构搜索,将 2160 种疑似特定位置和有文件记录的水污染物列表减少到可进行 LC-HRMS 分析的物质。在搜索色谱图中嫌疑物的精确质量后,通过保留时间预测、同位素模式、电离行为和 HRMS/MS 谱图的评估,逐步排除可能的假阳性检测。在非靶向分析中,根据独特的同位素模式和强度选择用于鉴定的峰。通过使用“七金规则”对分子公式进行可信度检查、排除可能商业重要性低的化合物以及自动进行 HRMS/MS 评估,实现了非靶向化合物的逐步鉴定。鉴定出六种疑似和五种非目标化学物质,其中两种此前并未被报道为环境污染物。

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