Modulating Oxygen Affinity to Enhance Liquid Products for the Electrochemical Reduction of Carbon Monoxide
ABSTRACT Electrocatalytic CO reduction (COR) offers a promising alternative approach for synthesizing valuable chemicals, potentially at a lower carbon intensity as compared to conventional chemical production. Cu‐based catalysts have shown encouraging selectivity and activity toward multi‐carbon (C 2+ ) products, albeit typically in the form of a mixture. Steering COR selectivity toward specific types of C 2+ products, such as liquid products with high energy density, remains a challenge. In this study, we developed a Cu/Zn bimetallic catalyst composite and demonstrated enhanced selectivity toward liquid products as compared to reference CuO and Cu‐based catalysts, approaching 60% at a high current density of 300 mA/cm 2 . Our investigation highlights that the introduction of Zn promoted the emergence of a Cu/Zn heterojunction interface during COR. Density functional theory simulations were used to rationalize the observed differences in selectivity, revealing that interface plays a crucial role in diminishing the oxygen adsorption at the Cu‐sites and modifying the adsorption energy of COR reaction intermediates, consequently leading to enhanced selectivity toward liquid products.
Authors
- Ioannis Katsounaros (ORCID: https://orcid.org/0000-0001-6462-710X)
- Yanwei Lum (ORCID: https://orcid.org/0000-0001-7261-2098)
- Emiel de Smit
- Juan Manuel Arce‐Ramos (ORCID: https://orcid.org/0000-0002-6832-6774)
- Jia Zhang (ORCID: https://orcid.org/0000-0003-4628-0215)
- Lei Wang (ORCID: https://orcid.org/0000-0002-1931-7767)
- Jiayi Chen (ORCID: https://orcid.org/0000-0002-1058-8771)
- Saifudin Abubakar
Institutions
- Agency for Science, Technology and Research (SG)
- National University of Singapore (SG)
- Institute of High Performance Computing (SG)
- Fuzhou University (CN)
Publication Details
- Journal
- SmartMat
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1002/smm2.70010
- Citations
- 9
- Primary Topic
- CO2 Reduction Techniques and Catalysts
- Type
- article
- Field-Weighted Citation Impact
- 3.27
Funders
- National Research Foundation Singapore