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Cited by 283

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

A comprehensive review on catalysts for electrocatalytic and photoelectrocatalytic degradation of antibiotics

Wu, Suqing, Hu, Yun Hang·2021·Chemical Engineering Journal

Abstract

Abstract Antibiotics in water environment have caused serious risk to human health due to their difficult biodegradability and environmental accumulation. Advanced oxidation processes (AOPs) have been demonstrated to effectively degrade antibiotics in wastewaters via the formation of reactive oxygen species with strong oxidation ability, such as hydroxyl radical. Electrocatalysis (EC) and photoelectrocatalysis (PEC) have emerged as promising AOPs. This article provides a comprehensive review on the progress in EC and PEC for degradation of antibiotics, with emphasis on the development of catalysts and their performances. The effect of experimental parameters (current density, applied potential, pH, electrolyte concentration, coexisting ions, and light source and intensity) on the degradation of antibiotics and the toxicity of intermediate, final products, and treated water are also assessed. Finally, the challenges and perspectives are discussed for EC and PEC degradation processes of antibiotics.

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Metadata

Authors
Wu, S., & Hu, Y. H.
Venue
Chemical Engineering Journal
Publisher
Elsevier BV
Published
2021-04
Volume
409
Pages
127739
ISSN
1385-8947 (ISSN-L)
OpenAlex
W3104882706
Cited by
283
References
51
FWCI
8.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A comprehensive review on catalysts for electrocatalytic and photoelectrocatalytic degradation of antibiotics. https://app.cochat.ai/papers/10.1016/j.cej.2020.127739
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Wu, S., & Hu, Y. H. (2021). A comprehensive review on catalysts for electrocatalytic and photoelectrocatalytic degradation of antibiotics. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2020.127739

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.