The DOI matches its Crossref record.
Bioelectrochemical Haber–Bosch Process: An Ammonia‐Producing H2/N2 Fuel Cell
Open accessAbstract
Nitrogenases are the only enzymes known to reduce molecular nitrogen (N 2) to ammonia (NH 3). By using methyl viologen (N,N′‐dimethyl‐4,4′‐bipyridinium) to shuttle electrons to nitrogenase, N 2 reduction to NH 3 can be mediated at an electrode surface. The coupling of this nitrogenase cathode with a bioanode that utilizes the enzyme hydrogenase to oxidize molecular hydrogen (H 2) results in an enzymatic fuel cell (EFC) that is able to produce NH 3 from H 2 and N 2 while simultaneously producing an electrical current. To demonstrate this, a charge of 60 mC was passed across H 2 /N 2 EFCs, which resulted in the formation of 286 nmol NH 3 mg−1 MoFe protein, corresponding to a Faradaic efficiency of 26.4 %.
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
Cited by
Efficient Electrocatalytic N2 Fixation with MXene under Ambient Conditions
Luo, Y., Chen, G.-F., Ding, L., Chen, X., Ding, L.-X., & Wang, H. (2019) · Joule · doi:10.1016/j.joule.2018.09.011 · Cited by 699
Progress in green ammonia production as potential carbon-free fuel
Chehade, G., & Dincer, I. (2021) · Fuel · doi:10.1016/j.fuel.2021.120845 · Cited by 485
Juangsa, F. B., Irhamna, A. R., & Aziz, M. (2021) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2021.01.214 · Cited by 198
Nitrogenase Bioelectrochemistry for Synthesis Applications
Milton, R. D., & Minteer, S. D. (2019) · Accounts of Chemical Research · doi:10.1021/acs.accounts.9b00494 · Cited by 92
Self-citation
Metadata
- Authors
- Milton, R. D., Cai, R., Abdellaoui, S., Leech, D., De Lacey, A. L., Pita, M., & Minteer, S. D.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2017-02-03
- Volume
- 56
- Issue
- 10
- Pages
- 2680-2683
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2583719179
- Cited by
- 274
- References
- 0
- FWCI
- 9.72
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Bioelectrochemical Haber–Bosch Process: An Ammonia‐Producing H2/N2 Fuel Cell. https://app.cochat.ai/papers/10.1002/anie.201612500
- The paper
- Milton, R. D., Cai, R., Abdellaoui, S., Leech, D., De Lacey, A. L., Pita, M., & Minteer, S. D. (2017). Bioelectrochemical Haber–Bosch Process: An Ammonia‐Producing H2/N2 Fuel Cell. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201612500
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.