The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Single‐Atom Cu Catalysts for Enhanced Electrocatalytic Nitrate Reduction with Significant Alleviation of Nitrite Production
Abstract
Metallic Cu is a well‐known electrocatalyst for nitrate reduction reaction (NO 3 RR), but it suffers from relatively low activity, poor stability, and inducing nitrite accumulation during the long‐term operation. Herein, it is found that Cu catalysts minimized at the single‐atom level can overcome the limitations of bulk materials in NO 3 RR. A metal‐nitrogen‐carbon (M‐N‐C) electrocatalyst composed of carbon nanosheets embedding isolated copper atoms coordinated with N, Cu‐N‐C‐800, is synthesized by pyrolysis of a Cu‐based metal–organic framework at 800 °C. In comparison with Cu nanoparticles and Cu plate‐800, kinetic measurements show that the Cu‐N‐C‐800 electrocatalyst is more active and stable and distinctly suppresses the release of nitrite intermediate into the solution. The combined results of experimental data and density functional theory calculations indicate that Cu bound with N (particularly Cu‐N 2) is the key to favorable adsorption of NO 3− and NO 2−. This strong binding is responsible for the enhanced rate of nitrate conversion to the end products of ammonia and nitrogen. These findings highlight the promise of single‐atom Cu electrocatalysts for nitrate reduction with desirable performance.
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
Wang, Y., Zhou, W., Jia, R., Yu, Y., & Zhang, B. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.201915992 · Cited by 1,641
Nitrogen Cycle Electrocatalysis
Rosca, V., Duca, M., de Groot, M. T., & Koper, M. T. M. (2009) · Chemical Reviews · doi:10.1021/cr8003696 · Cited by 1,583
Enhanced Nitrate-to-Ammonia Activity on Copper–Nickel Alloys via Tuning of Intermediate Adsorption
Wang, Y., Xu, A., Wang, Z., Huang, L., Li, J., Li, F., Wicks, J., Luo, M., Nam, D.-H., Tan, C.-S., et al. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.9b13347 · Cited by 1,380
Well-Defined Materials for Heterogeneous Catalysis: From Nanoparticles to Isolated Single-Atom Sites
Li, Z., Ji, S., Liu, Y., Cao, X., Tian, S., Chen, Y., Niu, Z., & Li, Y. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00311 · Cited by 1,245
Electrocatalytic reduction of nitrate: Fundamentals to full-scale water treatment applications
Garcia-Segura, S., Lanzarini-Lopes, M., Hristovski, K., & Westerhoff, P. (2018) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2018.05.041 · Cited by 1,196
Managing nitrogen to restore water quality in China
Yu, C., Huang, X., Chen, H., Godfray, H. C. J., Wright, J. S., Hall, J. W., Gong, P., Ni, S., Qiao, S., Huang, G., et al. (2019) · Nature · doi:10.1038/s41586-019-1001-1 · Cited by 1,164
Efficient Ammonia Electrosynthesis from Nitrate on Strained Ruthenium Nanoclusters
Li, J., Zhan, G., Yang, J., Quan, F., Mao, C., Liu, Y., Wang, B., Lei, F., Li, L., Chan, A. W. M., et al. (2020) · Journal of the American Chemical Society · doi:10.1021/jacs.0c00418 · Cited by 1,108
Direct transformation of bulk copper into copper single sites via emitting and trapping of atoms
Qu, Y., Li, Z., Chen, W., Lin, Y., Yuan, T., Yang, Z., Zhao, C., Wang, J., Zhao, C., Wang, X., et al. (2018) · Nature Catalysis · doi:10.1038/s41929-018-0146-x · Cited by 988
Boosting Selective Nitrate Electroreduction to Ammonium by Constructing Oxygen Vacancies in TiO2
Jia, R., Wang, Y., Wang, C., Ling, Y., Yu, Y., & Zhang, B. (2020) · ACS Catalysis · doi:10.1021/acscatal.9b05260 · Cited by 863
Biological Denitrification in Microbial Fuel Cells
Clauwaert, P., Rabaey, K., Aelterman, P., De Schamphelaire, L., Pham, T. H., Boeckx, P., Boon, N., & Verstraete, W. (2007) · Environmental Science & Technology · doi:10.1021/es062580r · Cited by 815
Metadata
- Authors
- Zhu, T., Chen, Q., Liao, P., Duan, W., Liang, S., Yan, Z., & Feng, C.
- Venue
- Small
- Publisher
- Wiley
- Published
- 2020-11-09
- Volume
- 16
- Issue
- 49
- Pages
- e2004526-e2004526
- ISSN
- 1613-6810 (ISSN-L)
- 1613-6829
- OpenAlex
- W3101519145
- Cited by
- 429
- References
- 38
- FWCI
- 9.84
- Type
- journal article
- Language
- en
- Open access
- closed
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: Single‐Atom Cu Catalysts for Enhanced Electrocatalytic Nitrate Reduction with Significant Alleviation of Nitrite Production. https://app.cochat.ai/papers/10.1002/smll.202004526
- The paper
- Zhu, T., Chen, Q., Liao, P., Duan, W., Liang, S., Yan, Z., & Feng, C. (2020). Single‐Atom Cu Catalysts for Enhanced Electrocatalytic Nitrate Reduction with Significant Alleviation of Nitrite Production. Small. https://doi.org/10.1002/smll.202004526
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.
