The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Design of Single-Atom Co–N5 Catalytic Site: A Robust Electrocatalyst for CO2 Reduction with Nearly 100% CO Selectivity and Remarkable Stability
Abstract
We develop an N-coordination strategy to design a robust CO 2 reduction reaction (CO 2 RR) electrocatalyst with atomically dispersed Co–N 5 site anchored on polymer-derived hollow N-doped porous carbon spheres. Our catalyst exhibits high selectivity for CO 2 RR with CO Faradaic efficiency (FE CO ) above 90% over a wide potential range from −0.57 to −0.88 V (the FE CO exceeded 99% at −0.73 and −0.79 V). The CO current density and FE CO remained nearly unchanged after electrolyzing 10 h, revealing remarkable stability. Experiments and density functional theory calculations demonstrate single-atom Co–N 5 site is the dominating active center simultaneously for CO 2 activation, the rapid formation of key intermediate COOH* as well as the desorption of CO.
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
Origin of the Overpotential for Oxygen Reduction at a Fuel-Cell Cathode
Nørskov, J. K., Rossmeisl, J., Logadottir, A., Lindqvist, L., Kitchin, J. R., Bligaard, T., & Jónsson, H. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp047349j · Cited by 13,153
Enhanced electrocatalytic CO2 reduction via field-induced reagent concentration
Liu, M., Pang, Y., Zhang, B., De Luna, P., Voznyy, O., Xu, J., Zheng, X., Dinh, C. T., Fan, F., Cao, C., et al. (2016) · Nature · doi:10.1038/nature19060 · Cited by 2,000
Partially oxidized atomic cobalt layers for carbon dioxide electroreduction to liquid fuel
Gao, S., Lin, Y., Jiao, X., Sun, Y., Luo, Q., Zhang, W., Li, D., Yang, J., & Xie, Y. (2016) · Nature · doi:10.1038/nature16455 · Cited by 1,865
Self-citationKim, D., Resasco, J., Yu, Y., Asiri, A. M., & Yang, P. (2014) · Nature Communications · doi:10.1038/ncomms5948 · Cited by 1,374
Jiang, K., Siahrostami, S., Akey, A. J., Li, Y., Lu, Z., Lattimer, J., Hu, Y., Stokes, C., Gangishetty, M., Chen, G., et al. (2017) · Chem · doi:10.1016/j.chempr.2017.09.014 · Cited by 406
Self-citation
Cited by
Electrocatalysis for CO 2 conversion: from fundamentals to value-added products
Wang, G., Chen, J., Ding, Y., Cai, P., Yi, L., Li, Y., Tu, C., Hou, Y., Wen, Z., & Dai, L. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00071j · Cited by 1,295
Domino electroreduction of CO2 to methanol on a molecular catalyst
Wu, Y., Jiang, Z., Lu, X., Liang, Y., & Wang, H. (2019) · Nature · doi:10.1038/s41586-019-1760-8 · Cited by 1,194
Large-Scale and Highly Selective CO2 Electrocatalytic Reduction on Nickel Single-Atom Catalyst
Zheng, T., Jiang, K., Ta, N., Hu, Y., Zeng, J., Liu, J., & Wang, H. (2019) · Joule · doi:10.1016/j.joule.2018.10.015 · Cited by 887
Single atom electrocatalysts supported on graphene or graphene-like carbons
Fei, H., Dong, J., Chen, D., Hu, T., Duan, X., Shakir, I., Huang, Y., & Duan, X. (2019) · Chemical Society Reviews · doi:10.1039/c9cs00422j · Cited by 673
Highly Efficient and Selective Generation of Ammonia and Hydrogen on a Graphdiyne-Based Catalyst
Hui, L., Xue, Y., Yu, H., Liu, Y., Fang, Y., Xing, C., Huang, B., & Li, Y. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b03004 · Cited by 587
Self-citation
Metadata
- Authors
- Pan, Y., Lin, R., Chen, Y., Liu, S., Zhu, W., Cao, X., Chen, W., Wu, K., Cheong, W.-C., Wang, Y., Zheng, L., Luo, J., Lin, Y., Liu, Y., Liu, C., Li, J., Lu, Q., Chen, X., Wang, D., Peng, Q., Chen, C., & Li, Y.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-03-08
- Volume
- 140
- Issue
- 12
- Pages
- 4218-4221
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2789860986
- Cited by
- 1,242
- References
- 5
- FWCI
- 30.65
- 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: Design of Single-Atom Co–N5 Catalytic Site: A Robust Electrocatalyst for CO2 Reduction with Nearly 100% CO Selectivity and Remarkable Stability. https://app.cochat.ai/papers/10.1021/jacs.8b00814
- The paper
- Pan, Y., Lin, R., Chen, Y., Liu, S., Zhu, W., Cao, X., Chen, W., Wu, K., Cheong, W.-C., Wang, Y., Zheng, L., Luo, J., Lin, Y., Liu, Y., Liu, C., Li, J., Lu, Q., Chen, X., Wang, D., . . . Li, Y. (2018). Design of Single-Atom Co–N5 Catalytic Site: A Robust Electrocatalyst for CO2 Reduction with Nearly 100% CO Selectivity and Remarkable Stability. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.8b00814
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.
