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Cited by 422

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

A review on industrial wastewater treatment via electrocoagulation processes

Shahedi, A., Darban, A.K., Taghipour, F., Jamshidi-Zanjani, A.·2020·Current Opinion in Electrochemistry

Abstract

Abstract Every year, a large amount of wastewater is discharged from various industries into the environment, and various methods are used to treat wastewater to reduce the amount of pollutants. Electrocoagulation (EC) is an electrochemically based technique that generates coagulant species in situ from the electrodissolution of sacrificial anodes, usually made of iron or aluminum destabilizes suspended, dissolved, or emulsified pollutants by using an electric current. It has a potential in removing various kinds of pollutants including organic and inorganic contaminants for various types of wastewater. The effectiveness of EC process depends on various parameters including pH, electrode, operation time, and current density. The goal of this study is to review the most relevant literatures that were published recently. The main challenges associated with the EC process are electrode passivation and energy consumption. EC compared with other common methods has advantages such as reducing energy consumption and reducing operating costs.

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Crossref · 10.1016/j.coelec.2020.05.009

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Metadata

Authors
Shahedi, A., Darban, A. K., Taghipour, F., & Jamshidi-Zanjani, A.
Venue
Current Opinion in Electrochemistry
Publisher
Elsevier BV
Published
2020-08
Volume
22
Pages
154-169
ISSN
2451-9103 (ISSN-L)
OpenAlex
W3033082521
Cited by
422
References
51
FWCI
8.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A review on industrial wastewater treatment via electrocoagulation processes. https://app.cochat.ai/papers/10.1016/j.coelec.2020.05.009
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Shahedi, A., Darban, A. K., Taghipour, F., & Jamshidi-Zanjani, A. (2020). A review on industrial wastewater treatment via electrocoagulation processes. Current Opinion in Electrochemistry. https://doi.org/10.1016/j.coelec.2020.05.009

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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.