Quantitative structure–activity relationships for the reaction kinetics of trace organic contaminants with one-electron oxidants†

IF 3.9 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL
Xi Liang, Yu Lei and Xin Yang
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Abstract

Understanding the reactivity between trace organic contaminants (TrOCs) and radicals involved in advanced oxidation processes (AOPs) is necessary for a good process design, but the experimentally determined rate constants (k values) are not sufficient for numerous artificial TrOCs. Thus, the development of quantitative structure–activity relationships (QSARs) for predicting k values may be an effective way to address this limitation. In this work, we developed QSARs for the reactions of TrOCs with AOP-related one-electron oxidants. Specifically, 15 QSARs using Hammett constants and 8 cross-correlations were developed based on the k values of over 400 reactions between TrOCs (most contain electron-rich moieties, such as phenol, aniline, and alkoxy benzene) and 5 one-electron oxidants (SO4˙, Br˙, Br2˙, Cl2˙, and CO3˙). Overall, the developed QSARs show a good predictive performance with 94% (237/251, for Hammett constant-based QSARs) and 80% (218/274, for cross-correlations) of the k values predicted within a factor of 3. All the Hammett constant-based QSARs show negative slope values and all cross-correlations show positive relationships, suggesting all 5 one-electron oxidants mainly share similar electrophilic mechanisms with the TrOCs highlighted in this work. Previous QSAR studies on the k values of one-electron oxidants were compared and integrated into their model analysis. Furthermore, k values predicted herein from the QSARs were used to evaluate the degradation of TrOCs during UV/persulfate and UV/chlorine treatment in multiple wastewater matrices, which were demonstrated to be useful. Finally, remarks on the use of the developed QSARs were presented.

Abstract Image

Abstract Image

痕量有机污染物与单电子氧化剂反应动力学的定量结构-活性关系。
了解痕量有机污染物(TrOC)与高级氧化过程(AOP)中涉及的自由基之间的反应性对于良好的过程设计非常必要,但实验确定的速率常数(k 值)对于众多人工 TrOC 来说并不充分。因此,开发用于预测 k 值的定量结构-活性关系(QSAR)可能是解决这一局限性的有效方法。在这项工作中,我们开发了 TrOC 与 AOP 相关单电子氧化剂反应的 QSARs。具体来说,我们根据 400 多种 TrOCs(大多数含有富电子分子,如苯酚、苯胺和烷氧基苯)与 5 种单电子氧化剂(SO4˙-、Br˙、Br2˙-、Cl2˙- 和 CO3˙-)之间反应的 k 值,利用哈米特常数和 8 种交叉相关性建立了 15 个 QSAR。总体而言,所开发的 QSARs 显示出良好的预测性能,94%(237/251,基于 Hammett 常量的 QSARs)和 80%(218/274,交叉相关)的 k 值预测在 3 倍以内。所有基于 Hammett 常量的 QSARs 都显示出负斜率值,所有交叉相关都显示出正关系,这表明所有 5 种单电子氧化剂主要与本研究中强调的 TrOCs 具有相似的亲电机制。对以往有关单电子氧化剂 k 值的 QSAR 研究进行了比较,并将其纳入模型分析。此外,根据 QSAR 预测的 k 值还被用于评估多种废水基质中紫外线/过硫酸盐和紫外线/氯处理过程中 TrOCs 的降解情况,结果表明这些方法是有用的。最后,对所开发的 QSARs 的使用进行了评论。
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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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