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Cited by 680

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Electromicrobiology

Lovley, Derek R.·2012·Annual Review of Microbiology

Abstract

Electromicrobiology deals with the interactions between microorganisms and electronic devices and with the novel electrical properties of microorganisms. A diversity of microorganisms can donate electrons to, or accept electrons from, electrodes without the addition of artificial electron shuttles. However, the mechanisms for microbe-electrode electron exchange have been seriously studied in only a few microorganisms. Shewanella oneidensis interacts with electrodes primarily via flavins that function as soluble electron shuttles. Geobacter sulfurreducens makes direct electrical contacts with electrodes via outer-surface, c-type cytochromes. G. sulfurreducens is also capable of long-range electron transport along pili, known as microbial nanowires, that have metallic-like conductivity similar to that previously described in synthetic conducting polymers. Pili networks confer conductivity to G. sulfurreducens biofilms, which function as a conducting polymer, with supercapacitor and transistor functionalities. Conductive microorganisms and/or their nanowires have a number of potential practical applications, but additional basic research will be necessary for rational optimization.

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Crossref · 10.1146/annurev-micro-092611-150104

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Metadata

Authors
Lovley, D. R.
Venue
Annual Review of Microbiology
Published
2012-10-13
Volume
66
Issue
1
Pages
391-409
ISSN
  • 0066-4227 (ISSN-L)
  • 1545-3251
OpenAlex
W4237213021
Cited by
680
References
5
FWCI
13.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electromicrobiology. https://app.cochat.ai/papers/10.1146/annurev-micro-092611-150104
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Lovley, D. R. (2012). Electromicrobiology. Annual Review of Microbiology. https://doi.org/10.1146/annurev-micro-092611-150104

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.