The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Electricity Generation by Geobacter sulfurreducens Attached to Gold Electrodes
Open accessAbstract
The versatility of gold for electrode manufacture suggests that it could be an ideal material for some microbial fuel cell applications. However, previous studies have suggested that microorganisms that readily transfer electrons to graphite do not transfer electrons to gold. Investigations with Geobacter sulfurreducens demonstrated that it could grow on gold anodes producing current nearly as effectively as with graphite anodes. Current production was associated with the development of G. sulfurreducens biofilms up to 40 microm thick. No current was produced if pilA, the gene for the structural protein of the conductive pili of G. sulfurreducens, was deleted. The finding that gold is a suitable anode material for microbial fuel cells offers expanded possibilities for the construction of microbial fuel cells and the electrochemical analysis of microbe-electrode interactions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lovley, D. R., & Phillips, E. J. P. (1988) · Applied and Environmental Microbiology · doi:10.1128/aem.54.6.1472-1480.1988 · Cited by 2,395
Self-citationCaccavo, F., Lonergan, D. J., Lovley, D. R., Davis, M., Stolz, J. F., & McInerney, M. J. (1994) · Applied and Environmental Microbiology · doi:10.1128/aem.60.10.3752-3759.1994 · Cited by 896
Self-citation
Cited by
Recent advancements in bioremediation of dye: Current status and challenges
Vikrant, K., Giri, B. S., Raza, N., Roy, K., Kim, K.-H., Rai, B. N., & Singh, R. S. (2018) · Bioresource Technology · doi:10.1016/j.biortech.2018.01.029 · Cited by 601
Sonawane, J. M., Yadav, A., Ghosh, P. C., & Adeloju, S. B. (2017) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.10.014 · Cited by 331
Ahmed, S., Rozaik, E., & Abdelhalim, H. (2015) · Water, Air, & Soil Pollution · doi:10.1007/s11270-015-2567-3 · Cited by 28
Bioremediation of dyes from textile and dye manufacturing industry effluent
Khan, R., Patel, V., & Khan, Z. (2020) · Abatement of Environmental Pollutants · doi:10.1016/b978-0-12-818095-2.00005-9 · Cited by 25
Metadata
- Authors
- Richter, H., McCarthy, K., Nevin, K. P., Johnson, J. P., Rotello, V. M., & Lovley, D. R.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-02-28
- Volume
- 24
- Issue
- 8
- Pages
- 4376-4379
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W2025440909
- Cited by
- 268
- References
- 2
- FWCI
- 16.24
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.