Structure–activity relationship of Cu-based catalysts for the highly efficient CO2 electrochemical reduction reaction
Electrocatalytic carbon dioxide reduction (CO 2 RR) is a relatively feasible method to reduce the atmospheric concentration of CO 2 . Although a series of metal-based catalysts have gained interest for CO 2 RR, understanding the structure–activity relationship for Cu-based catalysts remains a great...
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Veröffentlicht in: | Frontiers in chemistry 2023-02, Vol.11, p.1141453-1141453 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Electrocatalytic carbon dioxide reduction (CO
2
RR) is a relatively feasible method to reduce the atmospheric concentration of CO
2
. Although a series of metal-based catalysts have gained interest for CO
2
RR, understanding the structure–activity relationship for Cu-based catalysts remains a great challenge. Herein, three Cu-based catalysts with different sizes and compositions (Cu@CNTs, Cu
4
@CNTs, and CuNi
3
@CNTs) were designed to explore this relationship by density functional theory (DFT). The calculation results show a higher degree of CO
2
molecule activation on CuNi
3
@CNTs compared to that on Cu@CNTs and Cu
4
@CNTs. The methane (CH
4
) molecule is produced on both Cu@CNTs and CuNi
3
@CNTs, while carbon monoxide (CO) is synthesized on Cu
4
@CNTs. The Cu@CNTs showed higher activity for CH
4
production with a low overpotential value of 0.36 V compared to CuNi
3
@CNTs (0.60 V), with *CHO formation considered the potential-determining step (PDS). The overpotential value was only 0.02 V for *CO formation on the Cu
4
@CNTs, and *COOH formation was the PDS. The limiting potential difference analysis with the hydrogen evolution reaction (HER) indicated that the Cu@CNTs exhibited the highest selectivity of CH
4
among the three catalysts. Therefore, the sizes and compositions of Cu-based catalysts greatly influence CO
2
RR activity and selectivity. This study provides an innovative insight into the theoretical explanation of the origin of the size and composition effects to inform the design of highly efficient electrocatalysts. |
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ISSN: | 2296-2646 2296-2646 |
DOI: | 10.3389/fchem.2023.1141453 |