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Cited by 375

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

Review: Direct and Indirect Electrical Stimulation of Microbial Metabolism

Thrash, J. Cameron, Coates, John D.·2008·Environmental Science & Technology
DOI 10.1021/es702668w
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Abstract

All organisms require an electron donor and acceptor, frequently in chemical form, but an elegant alternative is to supply these via direct electrochemical means. Electricity has been used to stimulate microbial metabolism for over 50 years. Since the first report of oxygenating media using anodic oxygen generation from electrolysis in 1956, researchers have made use of applied power systems to supply energy for microbial respiratory processes from fermentations to anaerobic reduction of toxic pollutants. Bioelectrical reactors (BERs) have been utilized for culturing organisms, influencing metabolite production, and biotransformation of a wide array of compounds. Both enrichment and pure cultures have been cultivated in the presence of applied current, showcasing the applicative diversity of these systems. As the need for more environmentally conscious solutions to waste-treatment, remediation, and cultivation efforts increases, systems that supply energy to microorganisms without chemical amendment are becoming more attractive. Additionally, the essential flexibility of BERs offers an almost unlimited range of solutions for metabolic stimulation and downstream application.

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Crossref · 10.1021/es702668w

Cites

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Metadata

Authors
Thrash, J. C., & Coates, J. D.
Venue
Environmental Science & Technology
Publisher
American Chemical Society (ACS)
Published
2008-04-24
Volume
42
Issue
11
Pages
3921-3931
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
DOI
10.1021/es702668w
OpenAlex
W2019506753
Cited by
375
References
51
FWCI
13.87
Type
journal article
Language
en
Open access
closed

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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.