The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Single‐Atom Electrocatalysts from Multivariate Metal–Organic Frameworks for Highly Selective Reduction of CO2 at Low Pressures
Open accessAbstract
Single‐atom catalysts (SACs) are of great interest because of their ultrahigh activity and selectivity. However, it is difficult to construct model SACs according to a general synthetic method, and therefore, discerning differences in activity of diverse single‐atom catalysts is not straightforward. Herein, a general strategy for synthesis of single‐atom metals implanted in N‐doped carbon (M 1‐N‐C; M=Fe, Co, Ni and Cu) has been developed starting from multivariate metal–organic frameworks (MOFs). The M 1‐N‐C catalysts, featuring identical chemical environments and supports, provided an ideal platform for differentiating the activity of single‐atom metal species. When employed in electrocatalytic CO 2 reduction, Ni 1‐N‐C exhibited a very high CO Faradaic efficiency (FE) up to 96.8 % that far surpassed Fe 1‐, Co 1‐ and Cu 1‐N‐C. Remarkably, the best‐performer, Ni 1‐N‐C, even demonstrated excellent CO FE at low CO 2 pressures, thereby representing a promising opportunity for the direct use of dilute CO 2 feedstock.
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Cites
Heterogeneous single-atom catalysis
Wang, A., Li, J., & Zhang, T. (2018) · Nature Reviews Chemistry · doi:10.1038/s41570-018-0010-1 · Cited by 4,191
Multiple Functional Groups of Varying Ratios in Metal-Organic Frameworks
Deng, H., Doonan, C. J., Furukawa, H., Ferreira, R. B., Towne, J., Knobler, C. B., Wang, B., & Yaghi, O. M. (2010) · Science · doi:10.1126/science.1181761 · Cited by 1,917
Atomically dispersed Fe 3+ sites catalyze efficient CO 2 electroreduction to CO
Gu, J., Hsu, C.-S., Bai, L., Chen, H. M., & Hu, X. (2019) · Science · doi:10.1126/science.aaw7515 · Cited by 1,610
From fundamentals to applications: a toolbox for robust and multifunctional MOF materials
Kirchon, A., Feng, L., Drake, H. F., Joseph, E. A., & Zhou, H.-C. (2018) · Chemical Society Reviews · doi:10.1039/c8cs00688a · Cited by 1,448
Self-citationChemical Synthesis of Single Atomic Site Catalysts
Ji, S., Chen, Y., Wang, X., Zhang, Z., Wang, D., & Li, Y. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00818 · Cited by 1,444
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
Catalysis by Supported Single Metal Atoms
Liu, J. (2017) · ACS Catalysis · doi:10.1021/acscatal.6b01534 · Cited by 1,331
Nanomaterials derived from metal–organic frameworks
Dang, S., Zhu, Q.-L., & Xu, Q. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.75 · Cited by 1,230
Chen, P., Zhou, T., Xing, L., Xu, K., Tong, Y., Xie, H., Zhang, L., Yan, W., Chu, W., Wu, C., et al. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201610119 · Cited by 1,085
Single‐Atom Catalysts: Emerging Multifunctional Materials in Heterogeneous Catalysis
Zhang, H., Liu, G., Shi, L., & Ye, J. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201701343 · Cited by 1,078
Metadata
- Authors
- Jiao, L., Yang, W., Wan, G., Zhang, R., Zheng, X., Zhou, H., Yu, S., & Jiang, H.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2020-09
- Volume
- 59
- Issue
- 46
- Pages
- 20589-20595
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W3046127587
- Cited by
- 412
- References
- 64
- FWCI
- 11.13
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Jiao, L., Yang, W., Wan, G., Zhang, R., Zheng, X., Zhou, H., Yu, S., & Jiang, H. (2020). Single‐Atom Electrocatalysts from Multivariate Metal–Organic Frameworks for Highly Selective Reduction of CO2 at Low Pressures. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.202008787
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