The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Hybrid Catalyst Coupling Single-Atom Ni and Nanoscale Cu for Efficient CO2 Electroreduction to Ethylene
Abstract
A hybrid catalyst with integrated single-atom Ni and nanoscale Cu catalytic components is reported to enhance the C–C coupling and ethylene (C 2 H 4 ) production efficiency in the electrocatalytic CO 2 reduction reaction (eCO 2 RR). The single-atom Ni anchored on high-surface-area ordered mesoporous carbon enables high-rate and selective conversion of CO 2 to CO in a wide potential range, which complements the subsequent CO enrichment on Cu nanowires (NWs) for the C–C coupling to C 2 H 4 . In situ surface-enhanced infrared absorption spectroscopy (SEIRAS) confirms the substantially improved CO enrichment on Cu, once the incorporation of single-atom Ni occurs. Also, in situ X-ray absorption near-edge structure (XANES) demonstrates the structural stability of the hybrid catalyst during eCO 2 RR. By modulating hybrid compositions, the optimized catalyst shows 66% Faradaic efficiency (FE) in an alkaline flow cell with over 100 mA·cm –2 at −0.5 V versus reversible hydrogen electrode, leading to a five-order enhancement in C 2 H 4 selectivity compared with single-component Cu NWs.
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Cites
CO 2 electroreduction to ethylene via hydroxide-mediated copper catalysis at an abrupt interface
Dinh, C.-T., Burdyny, T., Kibria, M. G., Seifitokaldani, A., Gabardo, C. M., García de Arquer, F. P., Kiani, A., Edwards, J. P., De Luna, P., Bushuyev, O. S., et al. (2018) · Science · doi:10.1126/science.aas9100 · Cited by 2,515
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., Kikuchi, K., & Suzuki, S. (1985) · Chemistry Letters · doi:10.1246/cl.1985.1695 · Cited by 1,401
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
Dopant-induced electron localization drives CO2 reduction to C2 hydrocarbons
Zhou, Y., Che, F., Liu, M., Zou, C., Liang, Z., De Luna, P., Yuan, H., Li, J., Wang, Z., Xie, H., et al. (2018) · Nature Chemistry · doi:10.1038/s41557-018-0092-x · Cited by 1,171
De Luna, P., Quintero-Bermudez, R., Dinh, C.-T., Ross, M. B., Bushuyev, O. S., Todorović, P., Regier, T., Kelley, S. O., Yang, P., & Sargent, E. H. (2018) · Nature Catalysis · doi:10.1038/s41929-017-0018-9 · Cited by 1,046
Low-Overpotential Electroreduction of Carbon Monoxide Using Copper Nanowires
Raciti, D., Cao, L., Livi, K. J. T., Rottmann, P. F., Tang, X., Li, C., Hicks, Z., Bowen, K. H., Hemker, K. J., Mueller, T., et al. (2017) · ACS Catalysis · doi:10.1021/acscatal.7b01124 · Cited by 177
Cited by
Jiang, M., Wang, H., Zhu, M., Luo, X., He, Y., Wang, M., Wu, C., Zhang, L., Li, X., Liao, X., et al. (2024) · Chemical Society Reviews · doi:10.1039/d3cs00857f · Cited by 299
Self-citation
Metadata
- Authors
- Yin, Z., Yu, J., Xie, Z., Yu, S.-W., Zhang, L., Akauola, T., Chen, J. G., Huang, W., Qi, L., & Zhang, S.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-11-03
- Volume
- 144
- Issue
- 45
- Pages
- 20931-20938
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W4308483134
- Cited by
- 162
- References
- 7
- FWCI
- 5.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yin, Z., Yu, J., Xie, Z., Yu, S.-W., Zhang, L., Akauola, T., Chen, J. G., Huang, W., Qi, L., & Zhang, S. (2022). Hybrid Catalyst Coupling Single-Atom Ni and Nanoscale Cu for Efficient CO2 Electroreduction to Ethylene. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.2c09773
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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