The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Product selectivity of photocatalytic CO2 reduction reactions
Abstract
Abstract Photocatalytic carbon dioxide (CO2) reduction to obtain hydrocarbon solar fuels is one of the promising strategies to solve energy crisis and complement carbon cycle. However, the low activity and poor product selectivity greatly limit its practical application. Tuning product selectivity is of great significance to improve the yield of target product and deepen the understanding of CO2 reduction reaction mechanism. In this review, we firstly summarize the widely accepted pathways of photocatalytic CO2 reduction reactions. Secondly, important factors affecting product selectivity are analyzed, mainly including light-excitation attributes, band structure of photocatalysts, separation of photogenerated charge carriers, adsorption/activation of reactants, surface active sites of catalytic reaction, and adsorption/desorption of intermediates. Finally, the challenges and perspectives in developing photocatalysts with high CO2 reduction efficiency and product selectivity are presented.
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Cites
Combining theory and experiment in electrocatalysis: Insights into materials design
Seh, Z. W., Kibsgaard, J., Dickens, C. F., Chorkendorff, I., Nørskov, J. K., & Jaramillo, T. F. (2017) · Science · doi:10.1126/science.aad4998 · Cited by 12,114
In situ click chemistry generation of cyclooxygenase-2 inhibitors
Bhardwaj, A., Kaur, J., Wuest, M., & Wuest, F. (2017) · Nature Communications · doi:10.1038/s41467-016-0009-6 · Cited by 7,448
Recent Advances in Heterogeneous Photocatalytic CO 2 Conversion to Solar Fuels
Li, K., Peng, B., & Peng, T. (2016) · ACS Catalysis · doi:10.1021/acscatal.6b02089 · Cited by 1,355
Long, R., Li, Y., Liu, Y., Chen, S., Zheng, X., Gao, C., He, C., Chen, N., Qi, Z., Song, L., et al. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.7b00452 · Cited by 571
Trends in electrochemical CO2 reduction activity for open and close-packed metal surfaces
Shi, C., Hansen, H. A., Lausche, A. C., & Nørskov, J. K. (2014) · Physical Chemistry Chemical Physics · doi:10.1039/c3cp54822h · Cited by 465
Tuning of CO2 Reduction Selectivity on Metal Electrocatalysts
Wang, Y., Liu, J., Wang, Y., Al‐Enizi, A. M., & Zheng, G. (2017) · Small · doi:10.1002/smll.201701809 · Cited by 241
Cited by
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
Photocatalytic CO 2 Reduction to C2+ Products
Albero, J., Peng, Y., & García, H. (2020) · ACS Catalysis · doi:10.1021/acscatal.0c00478 · Cited by 899
Impacts of the Catalyst Structures on CO2 Activation on Catalyst Surfaces
Etim, U. J., Zhang, C., & Zhong, Z. (2021) · Nanomaterials · doi:10.3390/nano11123265 · Cited by 175
“These different binding modes play a crucial part in determining the reaction pathways as a result of the different possible intermediates that can form [32].”
BackgroundInfluentialZhao, Y., Tang, M., & He, L. (2024) · Molecular Catalysis · doi:10.1016/j.mcat.2023.113785 · Cited by 23
Wang, J., Yuan, L., Zhang, P., Mao, J., Fan, J., & Zhang, X. L. (2024) · Nanoscale · doi:10.1039/d3nr06411e · Cited by 21
Metadata
- Authors
- Fu, J., Jiang, K., Qiu, X., Yu, J., & Liu, M.
- Venue
- Materials Today
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 32
- Pages
- 222-243
- ISSN
- 1369-7021 (ISSN-L)
- OpenAlex
- W2963049339
- Cited by
- 1,280
- References
- 6
- FWCI
- 22.52
- Type
- journal article
- Language
- en
- Open access
- closed
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