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Cited by 363

The DOI matches its Crossref record; 129 of the 129 references it cites were found in a registry or an index.

An overview of microbial fuel cell usage in wastewater treatment, resource recovery and energy production

Open access
Munoz-Cupa, Carlos, Hu, Yulin, Xu, Chunbao, Bassi, Amarjeet·2021·Science of The Total Environment

Abstract

Wastewater treatment is a high-cost and energy-intensive process not only due to large amounts of pollutants but also for the large volumes of water to be treated, which are mainly generated by human activities and different industries. In this regard, biological wastewater treatments have become substitutes to the current technologies, owing to the improved treatment efficiency and added value. Microbial fuel cells (MFCs) as one of the promising biological treatments have arisen as a viable solution for chemical oxygen demand (COD) removal and electricity generation simultaneously. Therefore, in this article, the effects of various operating conditions on the COD removal and power production from MFCs are thoroughly discussed. In addition, the advantages and weaknesses of current MFCs technologies used for different types of wastewater are summarized. Finally, the technical barriers facing by MFCs operation and the economic feasibility of using MFCs for wastewater treatment are provided.

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Crossref · 10.1016/j.scitotenv.2020.142429

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Metadata

Authors
Munoz-Cupa, C., Hu, Y., Xu, C., & Bassi, A.
Venue
Science of The Total Environment
Publisher
Elsevier BV
Published
2021-02
Volume
754
Pages
142429
ISSN
0048-9697 (ISSN-L)
OpenAlex
W3088139399
Cited by
363
References
129
FWCI
17.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: An overview of microbial fuel cell usage in wastewater treatment, resource recovery and energy production. https://app.cochat.ai/papers/10.1016/j.scitotenv.2020.142429
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Munoz-Cupa, C., Hu, Y., Xu, C., & Bassi, A. (2021). An overview of microbial fuel cell usage in wastewater treatment, resource recovery and energy production. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.142429

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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.