Reyhaneh Armin , Gerrit Renner , Markus Weber , Torsten C. Schmidt
{"title":"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","authors":"Reyhaneh Armin , Gerrit Renner , Markus Weber , Torsten C. Schmidt","doi":"10.1016/j.jenvman.2025.125587","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"384 ","pages":"Article 125587"},"PeriodicalIF":8.4000,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a tool to routinely monitor wastewater systems via non-target screening utilizing spatial fingerprinting and temporal trend analysis as prioritization techniques\",\"authors\":\"Reyhaneh Armin , Gerrit Renner , Markus Weber , Torsten C. Schmidt\",\"doi\":\"10.1016/j.jenvman.2025.125587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":356,\"journal\":{\"name\":\"Journal of Environmental Management\",\"volume\":\"384 \",\"pages\":\"Article 125587\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2025-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Environmental Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0301479725015634\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0301479725015634","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Development of a tool to routinely monitor wastewater systems via non-target screening utilizing spatial fingerprinting and temporal trend analysis as prioritization techniques
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.
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.