Synergistic effect of hybrid support with carbon nitride and carbon black on Ag catalyst for efficient CO2 reduction to CO

IF 6.3 2区 材料科学 Q2 CHEMISTRY, PHYSICAL Applied Surface Science Pub Date : 2025-03-05 DOI:10.1016/j.apsusc.2025.162892
Jumi Hong, Ye Eun Jeon, Jinwon Park, Young Eun Kim, You Na Ko
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Abstract

In electrochemical CO2 reduction reactions (CO2RR), carbon-based materials are widely used as catalyst supports to ensure high performance. However, surface modifications of carbon-based materials are frequently necessary for the uniform dispersion of the active materials, which makes the fabrication procedure for catalysts more complicated and which can result in issues such as reduced hydrophobicity. To address these challenges, a hybrid support catalyst loaded with Ag on a support composed of carbon nitride and carbon black is proposed to mitigate the need for a surface modification while simultaneously enhancing the electrochemical activity in CO2RR. The hybrid support provides CO2 affinity, improved active metal dispersion, high conductivity, and increased hydrophobicity, collectively leading to enhanced catalytic performance. The AgCN7CB3 catalyst achieves Faradaic efficiency and a partial current density for CO of 96 % and −287 mA/cm2, respectively, at −1.6 V, and maintains stability for 160 h at −100 mA/cm2. Compared to single support catalysts, the AgCNCB catalyst exhibits superior performance with regard to CO productivity and stability. These results demonstrate that hybrid supports catalysts can play a role in a promising catalyst design strategy for sustainable CO production.

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来源期刊
Applied Surface Science
Applied Surface Science 工程技术-材料科学:膜
CiteScore
12.50
自引率
7.50%
发文量
3393
审稿时长
67 days
期刊介绍: Applied Surface Science covers topics contributing to a better understanding of surfaces, interfaces, nanostructures and their applications. The journal is concerned with scientific research on the atomic and molecular level of material properties determined with specific surface analytical techniques and/or computational methods, as well as the processing of such structures.
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