Preserving Cu+ Active Sites through Intensified Electron Density for Sustained CO2 Electroreduction
Source abstract
Abstract
In the realm of CO 2 electroreduction to C 2 fuels and feedstocks, copper-based oxides (CuO x ) stand out for their exceptional ability to adsorb *CO intermediates. A significant challenge in the use of Cu-based oxide catalysts is the electroreduction-driven transformation of Cu + species to metallic Cu, predominantly attributed to the direct electron-mediated disruption of Cu–O bonds. Addressing this, our study introduces an approach that enhances the electron density in Cu 2 O through the integration of MoS 2, thereby stabilizing the Cu + species. This method mitigates the Cu–O bond attack by dispersing the excess electrons, which originate from the external electrode, within the Cu 2 O. Our composite material, Cu 2 O-MoS 2, demonstrates a 1.9-fold increase in Faraday efficiency for C 2 H 4 production (FE C2H4 ), achieving 23.3% at −1.3 V vs RHE, and exhibits predominant Cu + stability compared to pure Cu 2 O. Both experimental and computational analyses reveal that the lower work function (WF) of MoS 2, relative to Cu 2 O, facilitates electron transfer from MoS 2 to Cu 2 O, consequently augmenting the electron density in Cu 2 O. This increased electron density provides a protective barrier against electron attacks from the external electrode on the Cu–O bond. Our findings present a strategy for enhancing Cu + stability, thereby promoting C 2 H 4 production. Furthermore, this research contributes a different insight into the design of selective and stable catalysts for CO 2 reduction.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: CO2 Reduction Techniques and Catalysts · Ionic liquids properties and applications · Electrochemical Analysis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Organic−Inorganic Composites, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, People’s Republic of China
School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, New South Wales 2052, Australia
Funding
National Program for Support of Top-notch Young Professionals · National Natural Science Foundation of China
References (38)
Show source-provided references
1. 10.1039/D0EE02747B10.1039/D0EE02747B ↗
2. 10.1002/anie.20160158210.1002/anie.201601582 ↗
3. 10.1021/jacs.0c0642010.1021/jacs.0c06420 ↗
4. 10.1002/anie.20210265710.1002/anie.202102657 ↗
5. 10.1038/s41557-018-0201-x10.1038/s41557-018-0201-x ↗
6. 10.1002/anie.20211349810.1002/anie.202113498 ↗
7. 10.1002/smll.20210521210.1002/smll.202105212 ↗
8. 10.1039/D0GC02279A10.1039/D0GC02279A ↗
9. 10.1021/jacs.1c1125310.1021/jacs.1c11253 ↗
10. 10.1021/acs.nanolett.1c0465310.1021/acs.nanolett.1c04653 ↗
11. 10.1002/anie.20230935110.1002/anie.202309351 ↗
12. 10.1021/jacs.0c0169910.1021/jacs.0c01699 ↗
13. 10.1038/s41929-017-0018-910.1038/s41929-017-0018-9 ↗
14. 10.1038/s41467-018-06311-010.1038/s41467-018-06311-0 ↗
15. 10.1021/jacs.3c0163810.1021/jacs.3c01638 ↗
16. 10.1021/jacs.9b1179010.1021/jacs.9b11790 ↗
17. 10.1002/anie.20211670610.1002/anie.202116706 ↗
18. 10.1002/anie.20210260610.1002/anie.202102606 ↗
19. 10.1002/anie.20220583210.1002/anie.202205832 ↗
20. 10.1039/D2TA05565A10.1039/D2TA05565A ↗
21. 10.1021/acsnano.3c0395210.1021/acsnano.3c03952 ↗
22. 10.1073/pnas.201264911810.1073/pnas.2012649118 ↗
23. 10.1038/nchem.252410.1038/nchem.2524 ↗
24. 10.1016/j.jechem.2022.06.03110.1016/j.jechem.2022.06.031 ↗
25. 10.1039/D3TA03441K10.1039/D3TA03441K ↗
26. 10.1016/j.cej.2021.13270910.1016/j.cej.2021.132709 ↗
27. 10.1021/jacs.3c0461210.1021/jacs.3c04612 ↗
28. 10.1021/acsami.3c0673710.1021/acsami.3c06737 ↗
29. 10.1002/anie.20211408010.1002/anie.202114080 ↗
30. 10.1002/adma.20220769110.1002/adma.202207691 ↗
31. 10.1021/jacs.0c1001710.1021/jacs.0c10017 ↗
32. 10.1016/j.cclet.2023.10860710.1016/j.cclet.2023.108607 ↗
33. 10.1021/jacs.0c1241810.1021/jacs.0c12418 ↗
34. 10.1021/jacs.2c1274310.1021/jacs.2c12743 ↗
35. 10.1021/jacs.3c0242810.1021/jacs.3c02428 ↗
36. 10.1021/jacs.3c0669710.1021/jacs.3c06697 ↗
37. 10.1002/aenm.20220434610.1002/aenm.202204346 ↗
38. 10.1002/anie.20230931910.1002/anie.202309319 ↗