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预测有机污染物与水合电子反应速率常数的定量结构-活性关系模型及其反应机制。

Quantitative structure-activity relationship models for predicting reaction rate constants of organic contaminants with hydrated electrons and their mechanistic pathways.

机构信息

State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, School of Environment, Northeast Normal University, Changchun, 130117, China.

Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Dalian, 116024, China.

出版信息

Water Res. 2019 Mar 15;151:468-477. doi: 10.1016/j.watres.2018.12.010. Epub 2018 Dec 16.

Abstract

The hydrated electron (e)-based reduction processes are promising for removing organic pollutants in water engineering systems. The reductive kinetics, especially the second order rate constants ( [Formula: see text] ) of e with organic compounds, is important for evaluating and modeling the advanced reduction processes. In this study, the [Formula: see text] values for aliphatic compounds and phenyl-based compounds are, for the first time, modeled by the quantitative structure-activity relationship (QSAR) method. The structural features governing the reactivity of two classes of organic compounds toward e were revealed, and the energy of the lowest unoccupied molecular orbital (E), one-electron reduction potential (E) and polarizability (α) were found to be the important molecular parameters in both two models. The built QSAR models provide robust predictive tools for estimating the removal of emerging pollutants using e during wastewater treatment processes. Additionally, quantum chemical calculations were employed to probe into the mechanism and feasibility of the single electron transfer (SET) pathway in the e-based reduction process. The thermodynamic investigation suggests that the compounds with electron-withdrawing groups tend to possess higher [Formula: see text] and lower Gibbs free energy (ΔG) and Gibbs free energies of activation (∆G) than the ones with electron-donating groups, indicating the SET process occurs more readily. It is also found that the refractory halogenated compounds can achieve dehalogenation via the SET pathway.

摘要

基于水化电子(e-)的还原过程有望用于去除水工程系统中的有机污染物。还原动力学,特别是 e 与有机化合物的二级速率常数([Formula: see text]),对于评估和模拟高级还原过程非常重要。在这项研究中,首次通过定量构效关系(QSAR)方法对脂肪族化合物和基于苯基的化合物的[Formula: see text]值进行了建模。揭示了两类有机化合物对 e 反应性的结构特征,发现最低未占据分子轨道(E)的能量、单电子还原电位(E)和极化率(α)是两个模型中重要的分子参数。所建立的 QSAR 模型为利用 e 在废水处理过程中去除新兴污染物提供了可靠的预测工具。此外,还采用量子化学计算方法探究了 e 还原过程中单电子转移(SET)途径的机制和可行性。热力学研究表明,具有吸电子基团的化合物往往具有更高的[Formula: see text]和更低的吉布斯自由能(ΔG)和吉布斯自由能活化能(∆G),表明 SET 过程更容易发生。还发现,难处理的卤代化合物可以通过 SET 途径实现脱卤。

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