Institute of Environmental Engineering, School of Metallurgy and Environment, Central South University , Changsha, China , 410083.
Chinese National Engineering Research Center for Control & Treatment of Heavy Metal Pollution , Changsha, China , 410083.
Environ Sci Technol. 2015 Nov 17;49(22):13394-402. doi: 10.1021/acs.est.5b03078. Epub 2015 Oct 27.
The sulfate radical anion (SO4•–) based oxidation of trace organic contaminants (TrOCs) has recently received great attention due to its high reactivity and low selectivity. In this study, a meta-analysis was conducted to better understand the role of functional groups on the reactivity between SO4•– and TrOCs. The results indicate that compounds in which electron transfer and addition channels dominate tend to exhibit a faster second-order rate constants (kSO4•–) than that of H–atom abstraction, corroborating the SO4•– reactivity and mechanisms observed in the individual studies. Then, a quantitative structure activity relationship (QSAR) model was developed using a sequential approach with constitutional, geometrical, electrostatic, and quantum chemical descriptors. Two descriptors, ELUMO and EHOMO energy gap (ELUMO–EHOMO) and the ratio of oxygen atoms to carbon atoms (#O:C), were found to mechanistically and statistically affect kSO4•– to a great extent with the standardized QSAR model: ln kSO4•– = 26.8–3.97 × #O:C – 0.746 × (ELUMO–EHOMO). In addition, the correlation analysis indicates that there is no dominant reaction channel for SO4•– reactions with various structurally diverse compounds. Our QSAR model provides a robust predictive tool for estimating emerging micropollutants removal using SO4•– during wastewater treatment processes.
硫酸根自由基 (SO4•–) 基氧化痕量有机污染物 (TrOCs) 因其高反应性和低选择性而受到广泛关注。本研究通过荟萃分析更好地了解了功能基团在 SO4•–与 TrOCs 反应性之间的作用。结果表明,电子转移和加成通道占主导的化合物往往表现出比 H-原子夺取更快的二级速率常数 (kSO4•–),这与个体研究中观察到的 SO4•–反应性和机制一致。然后,使用顺序方法(包括构象、几何、静电和量子化学描述符)开发了定量结构活性关系 (QSAR) 模型。两个描述符,最低未占据分子轨道 (ELUMO) 和最高占据分子轨道 (EHOMO) 能量间隙 (ELUMO–EHOMO) 以及氧原子与碳原子的比值 (#O:C),被发现从机械和统计学上极大地影响 kSO4•–,标准化 QSAR 模型为:ln kSO4•– = 26.8–3.97 × #O:C – 0.746 × (ELUMO–EHOMO)。此外,相关分析表明,SO4•–与各种结构多样的化合物的反应不存在主导反应通道。我们的 QSAR 模型为使用 SO4•–在废水处理过程中去除新兴的微污染物提供了一个强大的预测工具。