生化工程
转化(遗传学)
多样性(控制论)
水溶液
风险分析(工程)
计算机科学
人类健康
环境科学
化学
业务
工程类
有机化学
人工智能
医学
生物化学
环境卫生
基因
作者
Daisuke Minakata,Urs von Gunten
标识
DOI:10.1021/acs.est.3c04086
摘要
Water quality and its impacts on human and ecosystem health presents tremendous global challenges. While oxidative water treatment can solve many of these problems related to hygiene and micropollutants, identifying and predicting transformation products from a large variety of micropollutants induced by dosed chemical oxidants and in situ formed radicals is still a major challenge. To this end, a better understanding of the formed transformation products and their potential toxicity is needed. Currently, no theoretical tools alone can predict oxidatively induced transformation products in aqueous systems. Coupling experimental and theoretical studies has advanced the understanding of reaction kinetics and mechanisms significantly. This perspective article highlights the key progress made concerning experimental and computational approaches to predict transformation products. Knowledge gaps are identified, and the research required to advance the predictive capability is discussed.
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