Surface Reconstruction with a Sandwich-like C/Cu/C Catalyst for Selective and Stable CO2 Electroreduction
Source abstract
Abstract
For the steady electroreduction of carbon dioxide (CO2RR) to value-added chemicals with high efficiency, the uncontrollable surface reconstruction under highly reducing conditions is a critical issue in electrocatalyst design. Herein, we construct a catalyst model with a sandwich-like structure composed of highly reactive metallic Cu nanosheet that is confined in thin carbon layers (denoted as C/Cu/C nanosheet). The sandwich-like C/Cu/C nanosheet avoids the oxidation of the active site of metallic Cu at an ambient atmosphere owing to the protective coating of the carbon layer, which inhibits the surface reconstruction that occurs via the dissolution of copper oxides and redeposition of dissolved Cu ions. The as-prepared C/Cu/C nanosheet exhibits a prominent Faradaic efficiency (FE) of 47.8% for CH4 products at −1.0 V with a current density of 20.3 mA·cm–2 and stable production of CH4 during 12 h operation with negligible selectivity loss. Our findings provide an effective strategy of restraining surface reconstruction for the design of selective and stable electrocatalysts toward CO2RR.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: CO2 Reduction Techniques and Catalysts · Ionic liquids properties and applications · Electrocatalysts for Energy Conversion
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Lab 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 Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, People’s Republic of China
Beijing Aerospace Propulsion Institute, Beijing 100076 China
Funding
National Natural Science Foundation of China · Central Committee of the Communist Party of China
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