Journal
ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 49, Issue 22, Pages 13394-13402Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.est.5b03078
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Funding
- National Nature Science Foundation of China [21507167]
- Hunan Provincial Key RD program [2015WK3014]
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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 (k(SO4)) than that of Hatom 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, E-LUMO and EHOMO energy gap (ELUMOEHOMO) 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 k(SO4 center dot-) = 26.83.97 x #O:C 0.746 x (E-LUMO-E-HOMO). In addition, the correlation analysis indicates that there is no dominant reaction channel for SO4 center dot- 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.
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