Issue |
Natl Sci Open
Volume 2, Number 2, 2023
Special Topic: Chemistry Boosts Carbon Neutrality
|
|
---|---|---|
Article Number | 20220044 | |
Number of page(s) | 13 | |
Section | Chemistry | |
DOI | https://doi.org/10.1360/nso/20220044 | |
Published online | 17 February 2023 |
RESEARCH ARTICLE
CO2-assisted formation of grain boundaries for efficient CO–CO coupling on a derived Cu catalyst
Division of Nanomaterials & Chemistry, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230026, China
* Corresponding author (email: mgao@ustc.edu.cn)
Received:
5
September
2022
Revised:
31
October
2022
Accepted:
31
October
2022
The electrochemical CO2 reduction reaction (CO2RR) on Cu catalyst holds great promise for converting CO2 into valuable multicarbon (C2+) compounds, but still suffers poor selectivity due to the sluggish kinetics of forming carbon–carbon (C–C) bonds. Here we reported a perovskite oxide-derived Cu catalyst with abundant grain boundaries for efficient C–C coupling. These grain boundaries are readily created from the structural reconstruction induced by CO2-assisted La leaching. Using this defective catalyst, we achieved a maximum C2+ Faradaic efficiency of 80.3% with partial current density over 400 mA cm−2 in neutral electrolyte in a flow-cell electrolyzer. By combining the structural and spectroscopic investigations, we uncovered that the in-situ generated defective sites trapped by grain boundaries enable favorable CO adsorption and thus promote C–C coupling kinetics for C2+ products formation. This work showcases the great potential of perovskite materials for efficient production of valuable multicarbon compounds via CO2RR electrochemistry.
Key words: electrochemical CO2 reduction / multicarbon products / perovskite oxide / structural evolution / defective sites
© The Author(s) 2023. Published by China Science Publishing & Media Ltd. and EDP Sciences.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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