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Recent advances in ozone-based advanced oxidation processes for treatment of wastewater- A review

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Rekhate, Chhaya V., Srivastava, J.K.·2020·Chemical Engineering Journal Advances

Abstract

The wastewater reclamation is the need of today's world. Advanced oxidation processes (AOPs) are considered as a good option for removing recalcitrant organic materials in wastewater by oxidation reactions with powerful, non-selective hydroxyl radical (OH•). Ozone alone does not cause complete oxidation of some refractory organic compounds and has a low reaction rate. The ozone is combined with H2O2, UV light, catalyst, ultrasound to enhance the generation of hydroxyl radicals to increase the efficiency of the treatment process. The ozone-based AOPs have been proved to be effective in detoxifying an ample range of industrial effluents containing recalcitrant organics, pharmaceutical products, pesticides, phenols, dyes, etc. Ozone based AOP processes such as O3/UV, O3/H2O2, O3/Fe (II), O3/metal oxide catalyst, O3/activated carbon, O3/ultrasound, O3/Fenton, photocatalytic ozonation were discussed. A review of ozone-based AOP processes as a combination of ozonation with other techniques for the degradation and mineralization of recalcitrant organics present in the industrial/municipal wastewater based on the recently published work were reported.

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Metadata

Authors
Rekhate, C. V., & Srivastava, J. K.
Venue
Chemical Engineering Journal Advances
Publisher
Elsevier BV
Published
2020-11
Volume
3
Pages
100031
ISSN
2666-8211 (ISSN-L)
OpenAlex
W3090631769
Cited by
750
References
1
FWCI
24.38
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Recent advances in ozone-based advanced oxidation processes for treatment of wastewater- A review. https://app.cochat.ai/papers/10.1016/j.ceja.2020.100031
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Rekhate, C. V., & Srivastava, J. K. (2020). Recent advances in ozone-based advanced oxidation processes for treatment of wastewater- A review. Chemical Engineering Journal Advances. https://doi.org/10.1016/j.ceja.2020.100031

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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.