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Cited by 309

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Influence of parameters on the photocatalytic degradation of tetracycline in wastewater: A review

Saadati, Farzaneh, Keramati, Narjes, Ghazi, Mohsen Mehdipour·2016·Critical Reviews in Environmental Science and Technology

Abstract

Water pollution by organic pollutants is an ever-increasing problem for the global concerns. Some recently published papers are reviewed and summarized with the focus being on the photocatalytic oxidation of tetracycline in wastewater effluent. In this review, the effects of various operating parameters on the photocatalytic degradation of tetracycline are presented. Recent findings suggested that type of photocatalyst and composition, initial substrate concentration, amount of catalyst, pH of the reaction medium, ionic components in water, solvent types, and oxidizing agents/electron acceptors can play an important role on the photocatalytic degradation of tetracycline.

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Crossref · 10.1080/10643389.2016.1159093

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Metadata

Authors
Saadati, F., Keramati, N., & Ghazi, M. M.
Venue
Critical Reviews in Environmental Science and Technology
Published
2016-04-17
Volume
46
Issue
8
Pages
757-782
ISSN
  • 1064-3389 (ISSN-L)
  • 1547-6537
OpenAlex
W2340051017
Cited by
309
References
63
FWCI
5.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Influence of parameters on the photocatalytic degradation of tetracycline in wastewater: A review. https://app.cochat.ai/papers/10.1080/10643389.2016.1159093
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Saadati, F., Keramati, N., & Ghazi, M. M. (2016). Influence of parameters on the photocatalytic degradation of tetracycline in wastewater: A review. Critical Reviews in Environmental Science and Technology. https://doi.org/10.1080/10643389.2016.1159093

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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.