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Cited by 370

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Perfluorooctanoic Acid Degradation Using UV–Persulfate Process: Modeling of the Degradation and Chlorate Formation

Qian, Yajie, Guo, Xin, Zhang, Yalei, Peng, Yue, Sun, Peizhe, Huang, Ching-Hua, Niu, Junfeng, Zhou, Xuefei, Crittenden, John C.·2016·Environmental Science & Technology

Abstract

In this study, we investigated the destruction and by-product formation of perfluorooctanoic acid (PFOA) using ultraviolet light and persulfate (UV-PS). Additionally, we developed a first-principles kinetic model to simulate both PFOA destruction and by-product and chlorate (ClO3(-)) formation in ultrapure water (UW), surface water (SW), and wastewater (WW). PFOA degradation was significantly suppressed in the presence of chloride and carbonate species and did not occur until all the chloride was converted to ClO3(-) in UW and for low DOC concentrations in SW. The model was able to simulate the PS decay, pH changes, radical concentrations, and ClO3(-) formation for UW and SW. However, our model was unable to simulate PFOA degradation well in WW, possibly from PS activation by NOM, which in turn produced sulfate radicals.

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Metadata

Authors
Qian, Y., Guo, X., Zhang, Y., Peng, Y., Sun, P., Huang, C.-H., Niu, J., Zhou, X., & Crittenden, J. C.
Venue
Environmental Science & Technology
Published
2015-12-30
Volume
50
Issue
2
Pages
772-781
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2220876274
Cited by
370
References
6
FWCI
13.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Perfluorooctanoic Acid Degradation Using UV–Persulfate Process: Modeling of the Degradation and Chlorate Formation. https://app.cochat.ai/papers/10.1021/acs.est.5b03715
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Qian, Y., Guo, X., Zhang, Y., Peng, Y., Sun, P., Huang, C.-H., Niu, J., Zhou, X., & Crittenden, J. C. (2016). Perfluorooctanoic Acid Degradation Using UV–Persulfate Process: Modeling of the Degradation and Chlorate Formation. Environmental Science & Technology. https://doi.org/10.1021/acs.est.5b03715

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.