The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Opportunities and Challenges in CO2 Reduction by Gold- and Silver-Based Electrocatalysts: From Bulk Metals to Nanoparticles and Atomically Precise Nanoclusters
Abstract
To tackle the excessive emission of greenhouse gas CO 2, electrocatalytic reduction has been recognized as a promising way. Given the multielectron, multiproduct nature of the CO 2 reduction process, an ideal catalyst should be capable of converting CO 2 with high rates as well as high selectivity to either gas-phase (e.g., CO, CH 4 ) or liquid-phase products (e.g., HCOOH, CH 3 OH, etc.). Gold- and silver-based materials have been extensively investigated as CO 2 reduction catalysts for the formation of CO. This Perspective focuses on the advances of gold- and silver-based electrocatalysts for CO 2 reduction in terms of catalyst design as well as some insights from theoretical investigations. In particular, a special emphasis is placed on the newly emerging, atomically precise metal nanoclusters for CO 2 electroreduction. The strong quantum confinement effect and molecular purity as well as the crystallographically solved atomic structures of nanoclusters make this new class of catalysts quite promising in fundamental studies, and valuable mechanistic insights for CO 2 electroreduction at the atomic scale can be obtained. We hope that this Perspective highlights the opportunities and challenges in the exploration of emerging nanomaterials.
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Cites
A review of catalysts for the electroreduction of carbon dioxide to produce low-carbon fuels
Qiao, J., Liu, Y., Hong, F., & Zhang, J. (2014) · Chem. Soc. Rev. · doi:10.1039/c3cs60323g · Cited by 2,990
Hori, Y., Kikuchi, K., & Suzuki, S. (1985) · Chemistry Letters · doi:10.1246/cl.1985.1695 · Cited by 1,401
Kim, D., Resasco, J., Yu, Y., Asiri, A. M., & Yang, P. (2014) · Nature Communications · doi:10.1038/ncomms5948 · Cited by 1,374
Active and Selective Conversion of CO 2 to CO on Ultrathin Au Nanowires
Zhu, W., Zhang, Y.-J., Zhang, H., Lv, H., Li, Q., Michalsky, R., Peterson, A. A., & Sun, S. (2014) · Journal of the American Chemical Society · doi:10.1021/ja5095099 · Cited by 860
Persistent growth of CO2 emissions and implications for reaching climate targets
Friedlingstein, P., Andrew, R. M., Rogelj, J., Peters, G. P., Canadell, J. G., Knutti, R., Luderer, G., Raupach, M. R., Schaeffer, M., van Vuuren, D. P., et al. (2014) · Nature Geoscience · doi:10.1038/ngeo2248 · Cited by 771
Grain-Boundary-Dependent CO 2 Electroreduction Activity
Feng, X., Jiang, K., Fan, S., & Kanan, M. W. (2015) · Journal of the American Chemical Society · doi:10.1021/ja5130513 · Cited by 694
Ma, M., Trześniewski, B. J., Xie, J., & Smith, W. A. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201604654 · Cited by 530
Tuned Chemical Bonding Ability of Au at Grain Boundaries for Enhanced Electrochemical CO2 Reduction
Kim, K.-S., Kim, W. J., Lim, H.-K., Lee, E. K., & Kim, H. (2016) · ACS Catalysis · doi:10.1021/acscatal.6b00412 · Cited by 123
Cited by
Cocatalysts for Selective Photoreduction of CO2into Solar Fuels
Li, X., Yu, J., Jaroniec, M., & Chen, X. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00400 · Cited by 2,304
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
Atomically precise alloy nanoclusters: syntheses, structures, and properties
Kang, X., Li, Y., Zhu, M., & Jin, R. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00633h · Cited by 743
Self-citationLarrazábal, G. O., Strøm-Hansen, P., Heli, J. P., Zeiter, K., Therkildsen, K. T., Chorkendorff, I., & Seger, B. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b13081 · Cited by 313
Wang, Y., Liu, Y., Liu, W., Wu, J., Li, Q., Feng, Q., Chen, Z., Xiong, X., Wang, D., & Lei, Y. (2020) · Energy & Environmental Science · doi:10.1039/d0ee02833a · Cited by 303
Metadata
- Authors
- Zhao, S., Jin, R., & Jin, R.
- Venue
- ACS Energy Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-01-26
- Volume
- 3
- Issue
- 2
- Pages
- 452-462
- ISSN
- 2380-8195 (ISSN-L)
- OpenAlex
- W2782655294
- Cited by
- 368
- References
- 8
- FWCI
- 9.56
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhao, S., Jin, R., & Jin, R. (2018). Opportunities and Challenges in CO2 Reduction by Gold- and Silver-Based Electrocatalysts: From Bulk Metals to Nanoparticles and Atomically Precise Nanoclusters. ACS Energy Letters. https://doi.org/10.1021/acsenergylett.7b01104
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