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Achieving Selective and Efficient Electrocatalytic Activity for CO2 Reduction Using Immobilized Silver Nanoparticles
Abstract
Selective electrochemical reduction of CO2 is one of the most sought-after processes because of the potential to convert a harmful greenhouse gas to a useful chemical. We have discovered that immobilized Ag nanoparticles supported on carbon exhibit enhanced Faradaic efficiency and a lower overpotential for selective reduction of CO2 to CO. These electrocatalysts were synthesized directly on the carbon support by a facile one-pot method using a cysteamine anchoring agent resulting in controlled monodispersed particle sizes. These synthesized Ag/C electrodes showed improved activities, specifically decrease of the overpotential by 300 mV at 1 mA/cm(2), and 4-fold enhanced CO Faradaic efficiency at -0.75 V vs RHE with the optimal particle size of 5 nm compared to polycrystalline Ag foil. DFT calculations enlightened that the specific interaction between Ag nanoparticle and the anchoring agents modified the catalyst surface to have a selectively higher affinity to the intermediate COOH over CO, which effectively lowers the overpotential.
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Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
A realizable renewable energy future
Turner, J. A. (1999) · Science · doi:10.1126/science.285.5428.687 · Cited by 1,642
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
Wang, C., Daimon, H., Onodera, T., Koda, T., & Sun, S. (2008) · Angewandte Chemie International Edition · doi:10.1002/anie.200800073 · Cited by 849
Embedding Covalency into Metal Catalysts for Efficient Electrochemical Conversion of CO2
Lim, H.-K., Shin, H., Goddard, W. A., Hwang, Y. J., Min, B. K., & Kim, H. (2014) · Journal of the American Chemical Society · doi:10.1021/ja503782w · Cited by 222
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Cited by
Atomically dispersed Ni(i) as the active site for electrochemical CO2 reduction
Yang, H. B., Hung, S.-F., Liu, S., Yuan, K., Miao, S., Zhang, L., Huang, X., Wang, H.-Y., Cai, W., Chen, R., et al. (2018) · Nature Energy · doi:10.1038/s41560-017-0078-8 · Cited by 2,239
Industrial carbon dioxide capture and utilization: state of the art and future challenges
Gao, W., Liang, S., Wang, R., Jiang, Q., Zhang, Y., Zheng, Q., Xie, B., Toe, C. Y., Zhu, X., Wang, J., et al. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00025f · Cited by 1,388
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
Sulfur-anchoring synthesis of platinum intermetallic nanoparticle catalysts for fuel cells
Yang, C.-L., Wang, L.-N., Yin, P., Liu, J., Chen, M.-X., Yan, Q.-Q., Wang, Z.-S., Xu, S.-L., Chu, S.-Q., Cui, C., et al. (2021) · Science · doi:10.1126/science.abj9980 · Cited by 908
Metadata
- Authors
- Kim, C., Jeon, H. S., Eom, T., Jee, M. S., Kim, H., Friend, C. M., Min, B. K., & Hwang, Y. J.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-10-20
- Volume
- 137
- Issue
- 43
- Pages
- 13844-13850
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2341707936
- Cited by
- 703
- References
- 5
- FWCI
- 14.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kim, C., Jeon, H. S., Eom, T., Jee, M. S., Kim, H., Friend, C. M., Min, B. K., & Hwang, Y. J. (2015). Achieving Selective and Efficient Electrocatalytic Activity for CO2 Reduction Using Immobilized Silver Nanoparticles. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.5b06568
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