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基于流域的暴露驱动研究中综合多类人为新兴关注化合物的多残留超高效液相色谱串联质谱法分析。

Multi-residue ultra-performance liquid chromatography coupled with tandem mass spectrometry method for comprehensive multi-class anthropogenic compounds of emerging concern analysis in a catchment-based exposure-driven study.

机构信息

Department of Chemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK.

Water Innovation & Research Centre, Department of Chemical Engineering, University of Bath, Claverton Down, Bath, BA2 7AY, UK.

出版信息

Anal Bioanal Chem. 2019 Nov;411(27):7061-7086. doi: 10.1007/s00216-019-02091-8. Epub 2019 Sep 7.

DOI:10.1007/s00216-019-02091-8
PMID:31494686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6838033/
Abstract

This paper presents a new multi-residue method for the quantification of more than 142 anthropogenic compounds of emerging concern (CECs) in various environmental matrices. These CECs are from a wide range of major classes including pharmaceuticals, household, industrial and agricultural. This method utilises ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC-MS/MS) for analysis of five matrices (three liquid and two solid) from wastewater treatment processes and the surrounding environment. Relative recoveries were predominantly between 80 and 120%; however, due to the complexity of the matrices used in this work, not all compounds were recovered in all matrices, from 138/142 analytes in surface water to 96/142 analytes in digested solids. Method quantification limits (MQLs) ranged from 0.004 ng L (bisoprolol in surface water) to 3118 ng L (creatinine in wastewater treatment work (WwTW) influent). The overall method accuracy was 107.0%, and precision was 13.4%. To test its performance, the method was applied to the range of environmental matrices at WwTWs in South West England. Overall, this method was found to be suitable for application in catchment-based exposure-driven studies, as, of the total number of analytes quantifiable in each matrix, 61% on average was found to be above their corresponding MQL. The results confirm the need for analysing both the liquid and solid compartments within a WwTW to prevent under-reporting of concentrations.

摘要

本文提出了一种新的多残留方法,用于定量分析各种环境基质中超过 142 种人为关注的新兴化合物(CECs)。这些 CECs 来自包括药品、家庭、工业和农业在内的广泛的主要类别。该方法利用超高效液相色谱与串联质谱联用(UPLC-MS/MS)分析废水处理过程和周围环境中的五种基质(三种液体和两种固体)。相对回收率主要在 80%至 120%之间;然而,由于本工作中使用的基质复杂,并非所有化合物都能在所有基质中回收,从地表水中的 138/142 种分析物到消化固体中的 96/142 种分析物。方法定量限(MQL)范围从 0.004ng/L(地表水中的比索洛尔)到 3118ng/L(污水处理厂(WwTW)进水中的肌酐)。该方法的总准确度为 107.0%,精密度为 13.4%。为了检验其性能,该方法应用于英格兰西南部污水处理厂的各种环境基质中。总体而言,该方法适用于基于流域的暴露驱动研究,因为在每个基质中可定量分析的分析物总数中,平均有 61%的分析物浓度高于其相应的 MQL。结果证实需要分析污水处理厂中的液体和固体部分,以防止浓度报告不足。

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