Quantitative structure–activity relationships for reactivities of sulfate and hydroxyl radicals with aromatic contaminants through single–electron transfer pathway

[Display omitted] •We investigated single electron transfer (SET) reactions for ACs with SO4•− and OH.•ΔGSET° of SET reactions for ACs with both radicals was calculated with DFT method.•Single descriptor based QSAR models were developed to predict ΔGSET°.•Electron distribution plays an essential rol...

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Veröffentlicht in:Journal of hazardous materials 2018-02, Vol.344, p.1165-1173
Hauptverfasser: Luo, Shuang, Wei, Zongsu, Spinney, Richard, Villamena, Frederick A., Dionysiou, Dionysios D., Chen, Dong, Tang, Chong-Jian, Chai, Liyuan, Xiao, Ruiyang
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Sprache:eng
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Zusammenfassung:[Display omitted] •We investigated single electron transfer (SET) reactions for ACs with SO4•− and OH.•ΔGSET° of SET reactions for ACs with both radicals was calculated with DFT method.•Single descriptor based QSAR models were developed to predict ΔGSET°.•Electron distribution plays an essential role in determining the SET reactions.•The models feature a combination of good predictability and mechanistic insights. Sulfate radical anion (SO4•−) and hydroxyl radical (OH) based advanced oxidation technologies has been extensively used for removal of aromatic contaminants (ACs) in waters. In this study, we investigated the Gibbs free energy (ΔGSET∘) of the single electron transfer (SET) reactions for 76 ACs with SO4•− and OH, respectively. The result reveals that SO4•− possesses greater propensity to react with ACs through the SET channel than OH. We hypothesized that the electron distribution within the molecule plays an essential role in determining the ΔGSET∘ and subsequent SET reactions. To test the hypothesis, a quantitative structure−activity relationship (QSAR) model was developed for predicting ΔGSET∘ using the highest occupied molecular orbital energies (EHOMO), a measure of electron distribution and donating ability. The standardized QSAR models are reported to be ΔG°SET=−0.97×EHOMO – 181 and ΔG°SET=−0.97×EHOMO − 164 for SO4•− and OH, respectively. The models were internally and externally validated to ensure robustness and predictability, and the application domain and limitations were discussed. The single–descriptor based models account for 95% of the variability for SO4•− and OH. These results provide the mechanistic insight into the SET reaction pathway of radical and non–radical bimolecular reactions, and have important applications for radical based oxidation technologies to remove target ACs in different waters.
ISSN:0304-3894
1873-3336
DOI:10.1016/j.jhazmat.2017.09.024