The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Quantitative Structure–Activity Relationship (QSAR) for the Oxidation of Trace Organic Contaminants by Sulfate Radical
Abstract
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.
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Cites
Buxton, G. V., Greenstock, C. L., Helman, W. P., & Ross, A. B. (1988) · Journal of Physical and Chemical Reference Data · doi:10.1063/1.555805 · Cited by 12,332
Golbraikh, A., & Tropsha, A. (2002) · Journal of Molecular Graphics and Modelling · doi:10.1016/s1093-3263(01)00123-1 · Cited by 3,735
Rational selection of training and test sets for the development of validated QSAR models
Golbraikh, A., Shen, M., Xiao, Z., Xiao, Y.-D., Lee, K.-H., & Tropsha, A. (2003) · Journal of Computer-Aided Molecular Design · doi:10.1023/a:1025386326946 · Cited by 712
How not to develop a quantitative structure–activity or structure–property relationship (QSAR/QSPR)
Dearden, J. C., Cronin, M. T. D., & Kaiser, K. L. E. (2009) · SAR and QSAR in Environmental Research · doi:10.1080/10629360902949567 · Cited by 468
Cited by
Xiao, R., Luo, Z., Wei, Z., Luo, S., Spinney, R., Yang, W., & Dionysiou, D. D. (2018) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2017.12.005 · Cited by 482
Self-citationCobalt/Peracetic Acid: Advanced Oxidation of Aromatic Organic Compounds by Acetylperoxyl Radicals
Kim, J., Du, P., Liu, W., Luo, C., Zhao, H., & Huang, C.-H. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c00356 · Cited by 452
Wu, S., He, H., Li, X., Yang, C., Zeng, G., Wu, B., He, S., & Lu, L. (2018) · Chemical Engineering Journal · doi:10.1016/j.cej.2018.01.136 · Cited by 282
Limitations and Prospects of Sulfate-Radical Based Advanced Oxidation Processes
Duan, X., Yang, S., Wacławek, S., Fang, G., Xiao, R., & Dionysiou, D. D. (2020) · Journal of Environmental Chemical Engineering · doi:10.1016/j.jece.2020.103849 · Cited by 206
Self-citationAccurate Removal of Toxic Organic Pollutants from Complex Water Matrices
Cai, J., Niu, B., Xie, Q., Lu, N., Huang, S., Zhao, G., & Zhao, J. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.1c07824 · Cited by 189
Metadata
- Authors
- Xiao, R., Ye, T., Wei, Z., Luo, S., Yang, Z., & Spinney, R.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-10-27
- Volume
- 49
- Issue
- 22
- Pages
- 13394-13402
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2408642289
- Cited by
- 321
- References
- 4
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- closed
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