The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Photoinduction of Cu Single Atoms Decorated on UiO-66-NH2 for Enhanced Photocatalytic Reduction of CO2 to Liquid Fuels
Abstract
Photocatalytic reduction of CO 2 to value-added fuels is a promising route to reduce global warming and enhance energy supply. However, poor selectivity and low efficiency of catalysts are usually the limiting factor of their applicability. Herein, a photoinduction method was developed to achieve the formation of Cu single atoms on a UiO-66-NH 2 support (Cu SAs/UiO-66-NH 2 ) that could significantly boost the photoreduction of CO 2 to liquid fuels. Notably, the developed Cu SAs/UiO-66-NH 2 achieved the solar-driven conversion of CO 2 to methanol and ethanol with an evolution rate of 5.33 and 4.22 μmol h –1 g –1, respectively. These yields were much higher than those of pristine UiO-66-NH 2 and Cu nanoparticles/UiO-66-NH 2 composites. Theoretical calculations revealed that the introduction of the Cu SAs on the UiO-66-NH 2 greatly facilitates the conversion of CO 2 to CHO* and CO* intermediates, leading to excellent selectivity toward methanol and ethanol. This study provides new insights for designing high-performance catalyst for photocatalytic reduction of CO 2 at the atomic scale.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Origin of the Overpotential for Oxygen Reduction at a Fuel-Cell Cathode
Nørskov, J. K., Rossmeisl, J., Logadottir, A., Lindqvist, L., Kitchin, J. R., Bligaard, T., & Jónsson, H. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp047349j · Cited by 13,153
The technological and economic prospects for CO2 utilization and removal
Hepburn, C., Adlen, E., Beddington, J., Carter, E. A., Fuss, S., Mac Dowell, N., Minx, J. C., Smith, P., & Williams, C. K. (2019) · Nature · doi:10.1038/s41586-019-1681-6 · Cited by 2,523
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
Fei, H., Dong, J., Feng, Y., Allen, C. S., Wan, C., Volosskiy, B., Li, M., Zhao, Z., Wang, Y., Sun, H., et al. (2018) · Nature Catalysis · doi:10.1038/s41929-017-0008-y · Cited by 1,973
Self-citationAtomic cobalt on nitrogen-doped graphene for hydrogen generation
Fei, H., Dong, J., Arellano-Jiménez, M. J., Ye, G., Dong Kim, N., Samuel, E. L. G., Peng, Z., Zhu, Z., Qin, F., Bao, J., et al. (2015) · Nature Communications · doi:10.1038/ncomms9668 · Cited by 1,621
Liu, D., Li, X., Chen, S., Yan, H., Wang, C., Wu, C., Haleem, Y. A., Duan, S., Lu, J., Ge, B., et al. (2019) · Nature Energy · doi:10.1038/s41560-019-0402-6 · Cited by 1,166
Cited by
Wang, H., Li, X., Zhao, X., Li, C., Song, X., Zhang, P., Huo, P., & Li, X. (2022) · Chinese Journal of Catalysis · doi:10.1016/s1872-2067(21)63910-4 · Cited by 826
Single-atom catalysts for photocatalytic energy conversion
Xue, Z.-H., Luan, D., Zhang, H., & (David) Lou, X. W. (2022) · Joule · doi:10.1016/j.joule.2021.12.011 · Cited by 567
Wang, W., Deng, C., Xie, S., Li, Y., Zhang, W., Sheng, H., Chen, C., & Zhao, J. (2021) · Journal of the American Chemical Society · doi:10.1021/jacs.1c00206 · Cited by 523
Self-citationZhang, Y., Zhao, J., Wang, H., Xiao, B., Zhang, W., Zhao, X., Lv, T., Thangamuthu, M., Zhang, J., Guo, Y., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27698-3 · Cited by 490
Self-citationConstruction and application of base-stable MOFs: a critical review
Wang, K., Li, Y., Xie, L.-H., Li, X., & Li, J.-R. (2022) · Chemical Society Reviews · doi:10.1039/d1cs00891a · Cited by 462
Self-citation
Metadata
- Authors
- Wang, G., He, C.-T., Huang, R., Mao, J., Wang, D., & Li, Y.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-10-29
- Volume
- 142
- Issue
- 45
- Pages
- 19339-19345
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W3096014954
- Cited by
- 712
- References
- 6
- FWCI
- 16.67
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
