The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Highly Selective Tandem Electroreduction of CO2 to Ethylene over Atomically Isolated Nickel–Nitrogen Site/Copper Nanoparticle Catalysts
Abstract
Herein, an effective tandem catalysis strategy is developed to improve the selectivity of the CO 2 RR towards C 2 H 4 by multiple distinct catalytic sites in local vicinity. An earth‐abundant elements‐based tandem electrocatalyst PTF(Ni)/Cu is constructed by uniformly dispersing Cu nanoparticles (NPs) on the porphyrinic triazine framework anchored with atomically isolated nickel–nitrogen sites (PTF(Ni)) for the enhanced CO 2 RR to produce C 2 H 4. The Faradaic efficiency of C 2 H 4 reaches 57.3 % at −1.1 V versus the reversible hydrogen electrode (RHE), which is about 6 times higher than the non‐tandem catalyst PTF/Cu, which produces CH 4 as the major carbon product. The operando infrared spectroscopy and theoretic density functional theory (DFT) calculations reveal that the local high concentration of CO generated by PTF(Ni) sites can facilitate the C−C coupling to form C 2 H 4 on the nearby Cu NP sites. The work offers an effective avenue to design electrocatalysts for the highly selective CO 2 RR to produce multicarbon products via a tandem route.
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Cites
Hori, Y., Murata, A., & Takahashi, R. (1989) · Journal of the Chemical Society, Faraday Transactions 1: Physical Chemistry in Condensed Phases · doi:10.1039/f19898502309 · Cited by 1,640
Recent Advances in Inorganic Heterogeneous Electrocatalysts for Reduction of Carbon Dioxide
Zhu, D. D., Liu, J. L., & Qiao, S. Z. (2016) · Advanced Materials · doi:10.1002/adma.201504766 · Cited by 1,594
Zhao, C., Dai, X., Yao, T., Chen, W., Wang, X., Wang, J., Yang, J., Wei, S., Wu, Y., & Li, Y. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b02736 · Cited by 1,365
Highly selective plasma-activated copper catalysts for carbon dioxide reduction to ethylene
Mistry, H., Varela, A. S., Bonifacio, C. S., Zegkinoglou, I., Sinev, I., Choi, Y.-W., Kisslinger, K., Stach, E. A., Yang, J. C., Strasser, P., et al. (2016) · Nature Communications · doi:10.1038/ncomms12123 · Cited by 1,214
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
Zhang, W., Hu, Y., Ma, L., Zhu, G., Wang, Y., Xue, X., Chen, R., Yang, S., & Jin, Z. (2018) · Advanced Science · doi:10.1002/advs.201700275 · Cited by 942
Tailoring Copper Nanocrystals towards C2 Products in Electrochemical CO2 Reduction
Loiudice, A., Lobaccaro, P., Kamali, E. A., Thao, T., Huang, B. H., Ager, J. W., & Buonsanti, R. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201601582 · Cited by 896
Zhu, S., Jiang, B., Cai, W.-B., & Shao, M. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b10462 · Cited by 853
Hoang, T. T. H., Verma, S., Ma, S., Fister, T. T., Timoshenko, J., Frenkel, A. I., Kenis, P. J. A., & Gewirth, A. A. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b01868 · Cited by 852
Bio-inspired hydrophobicity promotes CO2 reduction on a Cu surface
Wakerley, D., Lamaison, S., Ozanam, F., Menguy, N., Mercier, D., Marcus, P., Fontecave, M., & Mougel, V. (2019) · Nature Materials · doi:10.1038/s41563-019-0445-x · Cited by 847
Cited by
Liu, L., & Corma, A. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00733 · Cited by 689
Wu, Q.-J., Liang, J., Huang, Y.-B., & Cao, R. (2022) · Accounts of Chemical Research · doi:10.1021/acs.accounts.2c00326 · Cited by 325
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Metadata
- Authors
- Meng, D., Zhang, M., Si, D., Mao, M., Hou, Y., Huang, Y., & Cao, R.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2021-10-28
- Volume
- 60
- Issue
- 48
- Pages
- 25485-25492
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W3199500029
- Cited by
- 312
- References
- 80
- FWCI
- 10.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- Meng, D., Zhang, M., Si, D., Mao, M., Hou, Y., Huang, Y., & Cao, R. (2021). Highly Selective Tandem Electroreduction of CO2 to Ethylene over Atomically Isolated Nickel–Nitrogen Site/Copper Nanoparticle Catalysts. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.202111136
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