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Development and validation of a generic nontarget method based on liquid chromatography - high resolution mass spectrometry analysis for the evaluation of different wastewater treatment options

机译:基于液相色谱-高分辨率质谱分析的通用非目标方法的开发和验证,用于评估不同的废水处理方案

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A comprehensive workflow for using nontarget approaches as process evaluation tools was implemented, including data acquisition based on a LC-HRMS (QTOF) system using direct injection and data post-processing for the peak recognition in "full scan" data. Both parts of the approach were not only developed and validated in a conventional way using the suspected analysis of a set of spiked known micropollutants but also the nontarget analysis of a wastewater treatment plant (WWTP) effluent itself was utilized to consider a more environmental relevant range of analytes. Hereby, special focus was laid on the minimization of false positive results (FPs) during the peak recognition. The optimized data post-processing procedure reduced the percentage of FPs from 42% to 10-15%. Furthermore, the choice of a suitable chromatography for biological treated wastewater systems was also discussed during the method development. The workflow paid also attention to differences in the performance levels of the LC-HRMS system by implementation of an adaption system for intensity variations comparing different measurements dates or different instruments. The application of this workflow on wastewater samples from a municipal WWTP revealed that more than 91% compounds were eliminated by the biological treatment step and that the received effluent contained 55% newly formed potential transformation products. (C) 2015 The Authors. Published by Elsevier B.V.
机译:实施了使用非目标方法作为过程评估工具的综合工作流程,包括基于LC-HRMS(QTOF)系统的数据采集,该系统使用直接注入和数据后处理以对“全扫描”数据进行峰识别。该方法的两个部分不仅以常规方式使用怀疑的一组加标已知微污染物的分析方法进行开发和验证,而且还利用废水处理厂(WWTP)废水本身的非目标分析来考虑与环境相关的范围分析物。因此,特别关注的是在峰识别期间最小化假阳性结果(FPs)。经过优化的数据后处理程序将FP的百分比从42%降低到10-15%。此外,在方法开发过程中还讨论了用于生物处理废水系统的合适色谱的选择。工作流程还通过实施自适应系统(用于比较不同测量日期或不同仪器的强度变化)来关注LC-HRMS系统性能水平的差异。该工作流程在市政污水处理厂废水样品中的应用表明,通过生物处理步骤消除了91%以上的化合物,并且所接收的废水中含有55%的新形成的潜在转化产物。 (C)2015作者。由Elsevier B.V.发布

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