A category approach to characterize river sites based on non-target screening and target analysis.

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Toni Köppe, Nina Hermes, Kevin S Jewell, Arne Wick, Sylvia Rohde, Thomas A Ternes
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引用次数: 0

Abstract

The objective of this study was to characterize monitoring sites with regard to their contaminating sources and to identify potential pollution hotspots as well as previously unknown compounds. Several evaluation methodologies were combined via a category approach consisting of site-specific detections using a combination of an extended target analysis via GC/MS and LC/MS/MS, NTS using LC-reversed phase high resolution MS, and suspect screening via spectral libraries. Furthermore, we considered the fraction of treated wastewater, the agricultural land use, and industry located in the vicinity. In order to evaluate our concept, more than 520 water samples of rivers from 79 locations throughout Saxony were analyzed by target analysis and NTS. Overall, a very good comparability between the results of target analysis and NTS was observed for pharmaceuticals and pesticides. In a first step, NTS data were used to identify hotspots of pollution with organic micropollutants. By this approach, 13 of 79 sites were characterized as "anomalous" as defined by empirical thresholds. More than 350 compounds could be identified using our spectral data library. In a second step, features of two sampling sites, which were likely contaminated by treated industrial wastewater, were investigated in detail, leading to the identification of four currently unknown compounds. These were cyclohexyldiethanolamine (CDA), 2,4,6-tri-(6-amino-hexanoic acid)-1,3,5-triazine (THAT), 2-(dibutylamino)ethanol, and 3,6,9-trioxaundecanedioic with estimated concentrations of up to 100 µg/L in rivers and streams using a semi-quantitative approach. However, based on the NTS database obtained, the identification of further currently unknown compounds can be easily done. The suggested category approach was also suitable to identify pollution hotspots of organic chemicals.

一种基于非目标筛选和目标分析的河流站点特征分类方法。
这项研究的目的是确定监测点的污染源特征,并查明潜在的污染热点以及以前未知的化合物。几种评估方法通过分类方法结合起来,包括特定位点检测,使用GC/MS和LC/MS进行扩展目标分析,使用LC反相高分辨率MS进行NTS,以及通过光谱库进行可疑筛选。此外,我们还考虑了处理废水的比例、农业用地和附近的工业。为了评估我们的概念,通过目标分析和NTS分析了萨克森州79个地点的520多个河流水样。总的来说,药物和农药的目标分析结果与NTS结果具有很好的可比性。第一步,利用NTS数据识别有机微污染物污染热点。通过这种方法,79个地点中有13个被定性为经验阈值所定义的“异常”。利用我们的光谱数据库可以鉴定出350多种化合物。在第二步中,对两个可能被处理过的工业废水污染的采样点的特征进行了详细的调查,从而确定了四种目前未知的化合物。这些是环己基二乙醇胺(CDA), 2,4,6-三-(6-氨基己酸)-1,3,5-三嗪(THAT), 2-(二丁胺)乙醇和3,6,9-三氧十一烷二酮,使用半定量方法估计河流和溪流中的浓度高达100 μ g/L。然而,基于获得的NTS数据库,可以很容易地鉴定出更多目前未知的化合物。建议的分类方法也适用于识别有机化学品的污染热点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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