期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 806, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2021.150691
关键词
Organic pollutant; Aquatic environment; Pollutant screening; Risk assessment
资金
- National Natural Science Foundation of China [42077157]
- Guangdong Basic and Applied Basic Research Foundation [2020B1515120080]
Thousands of organic pollutants are discharged into water bodies, impacting the ecological environment and human health. Combining non-target, target, and suspect screening methods is effective for identifying potential risk compounds. New technologies like machine learning and high-throughput methods show promise in increasing the accuracy of screening for high-risk pollutants.
Thousands of organic pollutants are intentionally and unintentionally discharged into water bodies, adversely affecting the ecological environment and human health. Screening for organic pollutants that pose a potential risk in aquatic environments is essential for risk management. This review evaluates the processes, methods, and technologies used to screen such pollutants in the aquatic environment and discuss their advantages and disadvantages, in addition to the challenges and knowledge gaps in this field. Combining non-target screening, target screening, and suspect screening is often effective for compiling a list of potential risk compounds and enables the quantitative analysis of these compounds. Sample preparation technologies and pollutant detection technologies considerably affect the results of pollutant screening. The limited amount of chemical and toxicological information contained in databases hinders the screening of organic pollutants with potential risk. Machine learning, high-throughput methods, and other technologies will increase the accuracy and convenience of screening for high-risk pollutants. This review provides an important reference for screening these compounds in aquatic environments and can be used in future pollutant screening and risk management. (c) 2021 Elsevier B.V. All rights reserved.
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