The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Cu–Sn Bimetallic Catalyst for Selective Aqueous Electroreduction of CO2 to CO
Abstract
We report a selective and stable electrocatalyst utilizing non-noble metals consisting of Cu and Sn for the efficient and selective reduction of CO 2 to CO over a wide potential range. The bimetallic electrode was prepared through the electrodeposition of Sn species on the surface of oxide-derived copper (OD-Cu). The Cu surface, when decorated with an optimal amount of Sn, resulted in a Faradaic efficiency (FE) for CO greater than 90% and a current density of −1.0 mA cm –2 at −0.6 V vs RHE, compared to the CO FE of 63% and −2.1 mA cm –2 for OD-Cu. Excess Sn on the surface caused H 2 evolution with a decreased current density. X-ray diffraction (XRD) suggests the formation of Cu–Sn alloy. Auger electron spectroscopy of the sample surface exhibits zerovalent Cu and Sn after the electrodeposition step. Density functional theory (DFT) calculations show that replacing a single Cu atom with a Sn atom leaves the d-band orbitals mostly unperturbed, signifying no dramatic shifts in the bulk electronic structure. However, the Sn atom discomposes the multifold sites on pure Cu, disfavoring the adsorption of H and leaving the adsorption of CO relatively unperturbed. Our catalytic results along with DFT calculations indicate that the presence of Sn on reduced OD-Cu diminishes the hydrogenation capability—i.e., the selectivity toward H 2 and HCOOH—while hardly affects the CO productivity. While the pristine monometallic surfaces (both Cu and Sn) fail to selectively reduce CO 2, the Cu–Sn bimetallic electrocatalyst generates a surface that inhibits adsorbed H*, resulting in improved CO FE. This study presents a strategy to provide low-cost non-noble metals that can be utilized as a highly selective electrocatalyst for the efficient aqueous reduction of CO 2 .
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
Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set
Kresse, G., & Furthmüller, J. (1996) · Physical Review B · doi:10.1103/physrevb.54.11169 · Cited by 123,652
Projector augmented-wave method
Blöchl, P. E. (1994) · Physical Review B · doi:10.1103/physrevb.50.17953 · Cited by 92,732
From ultrasoft pseudopotentials to the projector augmented-wave method
Kresse, G., & Joubert, D. (1999) · Physical Review B · doi:10.1103/physrevb.59.1758 · Cited by 85,307
Ab initio molecular dynamics for liquid metals
Kresse, G., & Hafner, J. (1993) · Physical Review B · doi:10.1103/physrevb.47.558 · Cited by 45,727
Kresse, G., & Hafner, J. (1994) · Physical Review B · doi:10.1103/physrevb.49.14251 · Cited by 23,019
Computational high-throughput screening of electrocatalytic materials for hydrogen evolution
Greeley, J., Jaramillo, T. F., Bonde, J., Chorkendorff, I., & Nørskov, J. K. (2006) · Nature Materials · doi:10.1038/nmat1752 · Cited by 4,097
How copper catalyzes the electroreduction of carbon dioxide into hydrocarbon fuels
Peterson, A. A., Abild-Pedersen, F., Studt, F., Rossmeisl, J., & Nørskov, J. K. (2010) · Energy & Environmental Science · doi:10.1039/c0ee00071j · Cited by 3,784
Frontiers, Opportunities, and Challenges in Biochemical and Chemical Catalysis of CO 2 Fixation
Appel, A. M., Bercaw, J. E., Bocarsly, A. B., Dobbek, H., DuBois, D. L., Dupuis, M., Ferry, J. G., Fujita, E., Hille, R., Kenis, P. J. A., et al. (2013) · Chemical Reviews · doi:10.1021/cr300463y · Cited by 2,193
Hori, Y., Wakebe, H., Tsukamoto, T., & Koga, O. (1994) · Electrochimica Acta · doi:10.1016/0013-4686(94)85172-7 · Cited by 2,140
Highly active oxide photocathode for photoelectrochemical water reduction
Paracchino, A., Laporte, V., Sivula, K., Grätzel, M., & Thimsen, E. (2011) · Nature Materials · doi:10.1038/nmat3017 · Cited by 2,128
Cited by
Progress and perspectives of electrochemical CO2 reduction on copper in aqueous electrolyte
Nitopi, S., Bertheussen, E., Scott, S. B., Liu, X., Engstfeld, A. K., Horch, S., Seger, B., Stephens, I. E. L., Chan, K., Hahn, C., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00705 · Cited by 5,223
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
Zhang, L., Zhao, Z., & Gong, J. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201612214 · Cited by 1,048
Exclusive Formation of Formic Acid from CO2 Electroreduction by a Tunable Pd‐Sn Alloy
Bai, X., Chen, W., Zhao, C., Li, S., Song, Y., Ge, R., Wei, W., & Sun, Y. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201707098 · Cited by 328
Electrocatalytic Alloys for CO2 Reduction
He, J., Johnson, N. J. J., Huang, A., & Berlinguette, C. P. (2018) · ChemSusChem · doi:10.1002/cssc.201701825 · Cited by 322
Metadata
- Authors
- Sarfraz, S., Garcia-Esparza, A. T., Jedidi, A., Cavallo, L., & Takanabe, K.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-04-05
- Volume
- 6
- Issue
- 5
- Pages
- 2842-2851
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W2304696404
- Cited by
- 459
- References
- 49
- FWCI
- 14.03
- 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: Cu–Sn Bimetallic Catalyst for Selective Aqueous Electroreduction of CO2 to CO. https://app.cochat.ai/papers/10.1021/acscatal.6b00269
- The paper
- Sarfraz, S., Garcia-Esparza, A. T., Jedidi, A., Cavallo, L., & Takanabe, K. (2016). Cu–Sn Bimetallic Catalyst for Selective Aqueous Electroreduction of CO2 to CO. ACS Catalysis. https://doi.org/10.1021/acscatal.6b00269
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.