The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Ambient Electrochemical Ammonia Synthesis with High Selectivity on Fe/Fe Oxide Catalyst
Open accessAbstract
Electrochemical reduction of N 2 to NH 3 under ambient conditions can provide an alternative to the Haber–Bosch process for distributed NH 3 production that can be powered by renewable electricity. The major challenge for realizing such a process is to develop efficient electrocatalysts for the N 2 reduction reaction (N 2 RR), as typical catalysts show a low activity and selectivity due to the barrier for N 2 activation and the competing hydrogen evolution reaction (HER). Here we report an Fe/Fe 3 O 4 catalyst for ambient electrochemical NH 3 synthesis, which was prepared by oxidizing an Fe foil at 300 °C followed by in situ electrochemical reduction. The Fe/Fe 3 O 4 catalyst exhibits a Faradaic efficiency of 8.29% for NH 3 production at −0.3 V vs the reversible hydrogen electrode in phosphate buffer solution, which is around 120 times higher than that of the original Fe foil. The high selectivity is enabled by an enhancement of the intrinsic (surface-area-normalized) N 2 RR activity by up to 9-fold as well as an effective suppression of the HER activity. The N 2 RR selectivity of the Fe/Fe 3 O 4 catalyst is also higher than that of Fe, Fe 3 O 4, and Fe 2 O 3 nanoparticles, suggesting Fe/Fe oxide composite to be an efficient catalyst for ambient electrochemical NH 3 synthesis.
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
Montoya, J. H., Tsai, C., Vojvodic, A., & Nørskov, J. K. (2015) · ChemSusChem · doi:10.1002/cssc.201500322 · Cited by 1,384
Zhou, W., Hou, D., Sang, Y., Yao, S., Zhou, J., Li, G., Li, L., Liu, H., & Chen, S. (2014) · Journal of Materials Chemistry A · doi:10.1039/c4ta01898b · Cited by 282
Cited by
Defect engineering in earth-abundant electrocatalysts for CO2 and N2 reduction
Wang, Q., Lei, Y., Wang, D., & Li, Y. (2019) · Energy & Environmental Science · doi:10.1039/c8ee03781g · Cited by 574
Ren, Y., Yu, C., Tan, X., Huang, H., Wei, Q., & Qiu, J. (2021) · Energy & Environmental Science · doi:10.1039/d0ee03596c · Cited by 565
Comprehensive Understanding of the Thriving Ambient Electrochemical Nitrogen Reduction Reaction
Zhao, X., Hu, G., Chen, G., Zhang, H., Zhang, S., & Wang, H. (2021) · Advanced Materials · doi:10.1002/adma.202007650 · Cited by 503
Self-citationGreatly Improving Electrochemical N 2 Reduction over TiO 2 Nanoparticles by Iron Doping
Wu, T., Zhu, X., Xing, Z., Mou, S., Li, C., Qiao, Y., Liu, Q., Luo, Y., Shi, X., Zhang, Y., et al. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201911153 · Cited by 499
Heterogeneous electrocatalysts design for nitrogen reduction reaction under ambient conditions
Wan, Y., Xu, J., & Lv, R. (2019) · Materials Today · doi:10.1016/j.mattod.2019.03.002 · Cited by 447
Metadata
- Authors
- Hu, L., Khaniya, A., Wang, J., Chen, G., Kaden, W. E., & Feng, X.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-08-27
- Volume
- 8
- Issue
- 10
- Pages
- 9312-9319
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W2889416394
- Cited by
- 302
- References
- 2
- FWCI
- 9.81
- 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.
