Volume 64, Issue 24 e202503745
Research Article

Optimizing the Selectivity of CH4 Electrosynthesis from CO2 Over Cuprates Through Cu─O Bond Length Descriptor

Yunze Xu

Yunze Xu

State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101 China

These author contributed equally to this work.

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Yu Zhang

Yu Zhang

State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101 China

University of Chinese Academy of Sciences, Beijing, 100049 China

These author contributed equally to this work.

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Hongyan Zhao

Hongyan Zhao

State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101 China

These author contributed equally to this work.

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Lei Shi

Lei Shi

Joint International Research Laboratory of Biomass Energy and Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing, 210037 China

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Zhenbao Zhang

Zhenbao Zhang

School of Chemistry and Chemical Engineering, Linyi University, Linyi, 276005 China

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Xueyan Li

Xueyan Li

State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101 China

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Zhen Xue

Zhen Xue

State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101 China

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Heqing Jiang

Heqing Jiang

State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101 China

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Yongfa Zhu

Yongfa Zhu

Department of Chemistry, Tsinghua University, Beijing, 100084 China

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Jiawei Zhu

Corresponding Author

Jiawei Zhu

State Key Laboratory of Photoelectric Conversion and Utilization of Solar Energy, Qingdao New Energy Shandong Laboratory, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, 266101 China

E-mail: [email protected]

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First published: 07 April 2025

Graphical Abstract

A selectivity descriptor based on Cu─O bond length was established to screen highly selective cuprates toward CH4 electrosynthesis. This descriptor revealed that CH4 selectivity exhibited a volcano-shaped correlation with the Cu─O bond length, with the optimal value accessible at ∼1.951 Å. Using this descriptor, three new cuprates were predicted, demonstrating better performance compared to the reported Cu-based catalysts in acidic electrolytes.

Abstract

Precisely controlling the nature of Cu─O bond in Cu-based oxide catalysts and understanding its correlation with CH4 electrosynthesis (from CO2) for selectivity optimization is a long-standing challenge. Herein, taking a specific type of cuprates structured with CuO4 square-planar motifs as the platform, we report a selectivity descriptor of Cu─O bond length for screening highly selective catalysts toward CH4 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 CH4 selectivity evaluation. Our investigations demonstrate that the CH4 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 CH4 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 CH4 selectivity of up to 61.7% at 300 mA cm−2.

Conflict of Interests

The authors declare no conflict of interest.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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