Development of a tool to routinely monitor wastewater systems via non-target screening utilizing spatial fingerprinting and temporal trend analysis as prioritization techniques

IF 8.4 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Reyhaneh Armin , Gerrit Renner , Markus Weber , Torsten C. Schmidt
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Abstract

Non-Target Screening (NTS) is a valuable technique for exploring the chemical composition of aquatic systems. Although target screening has already been established in the quality control of water samples, adopting NTS, especially in data processing, requires further refinements. Herein, we introduce an approach to bring NTS closer to a practical application in routine wastewater monitoring. An in-house tool was developed, specifically designed for quick and efficient NTS data processing based on temporal analysis and spatial fingerprinting as prioritization techniques. This tool enables the creation of a fingerprint database for each emission source. It then uses this database to track the origin of each compound in downstream samples and conducts trend analysis if data from more downstream samples are available. As proof of concept, we successfully applied NTS and this tool to monitor a wastewater system in a chemical industrial park, aiming to routinely safeguard the wastewater treatment plant against potential threats. Specifically, compounds in the influent originating from particular plants were prioritized and their intensity profiles were monitored. Further substances with signal intensities increasing over time were also investigated, and possible transformation products were linked to their respective emission source. For these applications, a tedious structural elucidation of the individual compounds was not required since pattern and trend analyses were based on features. All in all, our NTS-based tool expanded the monitoring scope and demonstrated effectiveness and efficiency in routine wastewater management within the industrial park.

Abstract Image

开发一种工具,利用空间指纹和时间趋势分析作为优先技术,通过非目标筛选对废水系统进行常规监测
非靶筛选(NTS)是研究水生系统化学成分的一种有价值的技术。虽然在水样质量控制中已经建立了目标筛选,但采用NTS,特别是在数据处理中,需要进一步改进。在这里,我们介绍了一种方法,使NTS更接近日常废水监测的实际应用。我们开发了一个内部工具,专门设计用于基于时间分析和空间指纹作为优先技术的快速有效的NTS数据处理。该工具支持为每个排放源创建指纹数据库。然后使用该数据库跟踪下游样品中每种化合物的来源,如果有更多下游样品的数据可用,则进行趋势分析。作为概念的证明,我们成功地应用了NTS和该工具来监测化学工业园区的废水系统,旨在常规保护废水处理厂免受潜在威胁。具体地说,对来自特定植物的流入物中的化合物进行了优先排序,并监测了它们的强度分布。还研究了信号强度随时间增加的其他物质,并将可能的转化产物与其各自的排放源联系起来。对于这些应用,由于模式和趋势分析是基于特征的,因此不需要对单个化合物进行繁琐的结构解析。总而言之,我们基于nts的工具扩大了监测范围,并展示了工业园区日常废水管理的有效性和效率。
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来源期刊
Journal of Environmental Management
Journal of Environmental Management 环境科学-环境科学
CiteScore
13.70
自引率
5.70%
发文量
2477
审稿时长
84 days
期刊介绍: The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.
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