Optimizing the Selectivity of CH <sub>4</sub> Electrosynthesis from CO <sub>2</sub> Over Cuprates Through Cu─O Bond Length Descriptor
Abstract Precisely controlling the nature of Cu─O bond in Cu‐based oxide catalysts and understanding its correlation with CH 4 electrosynthesis (from CO 2 ) for selectivity optimization is a long‐standing challenge. Herein, taking a specific type of cuprates structured with CuO 4 square‐planar motifs as the platform, we report a selectivity descriptor of Cu─O bond length for screening highly selective catalysts toward CH 4 electrosynthesis. We establish the descriptor by systematic investigations of several proof‐of‐concept cuprates. Their Cu─O bond lengths are precisely controlled ranging from 1.944 to 1.970 Å and these bonds remain stable in CH 4 selectivity evaluation. Our investigations demonstrate that the CH 4 selectivity exhibits a volcano‐type dependence on the Cu─O bond length, and the optimized value is accessible at about 1.951 Å. This could be attributed to the optimal (neither too strong nor too weak) *CO adsorption created by the moderate Cu─O bond length, facilitating *CO hydrogenation. Furthermore, utilizing this descriptor, we predict three highly selective cuprates for CH 4 electrosynthesis, with superior selectivity that is near the top of the volcano plot. And importantly, in an acidic electrolyte (pH = 1), they outperform the reported catalysts, achieving CH 4 selectivity of up to 61.7% at 300 mA cm −2 .
Authors
- Yongfa Zhu (ORCID: https://orcid.org/0000-0001-8528-509X)
- Hongyan Zhao (ORCID: https://orcid.org/0000-0002-5454-2759)
- Heqing Jiang (ORCID: https://orcid.org/0000-0001-8964-1311)
- Yunze Xu (ORCID: https://orcid.org/0000-0002-2692-1583)
- Zhen Xue (ORCID: https://orcid.org/0009-0001-2930-3342)
- Zhenbao Zhang (ORCID: https://orcid.org/0000-0002-5443-474X)
- Xueyan Li (ORCID: https://orcid.org/0000-0003-0457-7846)
- Lei Shi (ORCID: https://orcid.org/0000-0002-9831-1872)
- Yu Zhang (ORCID: https://orcid.org/0000-0002-2001-2637)
- Jiawei Zhu (ORCID: https://orcid.org/0009-0003-5034-3212)
Institutions
- Linyi University (CN)
- Nanjing Forestry University (CN)
- Chinese Academy of Sciences (CN)
- Qingdao Institute of Bioenergy and Bioprocess Technology (CN)
- University of Chinese Academy of Sciences (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Angewandte Chemie
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1002/ange.202503745
- Primary Topic
- CO2 Reduction Techniques and Catalysts
- Type
- article
- Field-Weighted Citation Impact
- 0.00