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Nanoscale Copper-Tin Dioxide Interfaces for Efficient CO2 Electroreduction to Formic Acid and Formate at High Rates
Lan Huang1,2, Felicia Di Costola1,2, Marco Allione2
1Centre for Sustainable Future Technologies (CSFT), Istituto Italiano di Tecnologia - IIT, Via Livorno 60, 10144, Turin, Italy.
Highly selective copper-tin catalysts efficiently convert carbon dioxide (CO2) into formate and formic acid. These stable, low-cost materials show significant potential for industrial CO2 utilization and reduction.
Area of Science:
- Electrochemistry
- Materials Science
- Catalysis
Background:
- Efficient and selective electrocatalysts are crucial for converting carbon dioxide (CO2) into valuable chemicals.
- Developing cost-effective and stable catalysts is essential for industrial-scale CO2 utilization.
Purpose of the Study:
- To develop highly selective and stable copper-tin (CuSn) electrocatalysts for CO2 reduction.
- To investigate the effect of Cu-to-Sn atomic ratios on catalyst performance.
- To evaluate catalyst efficiency in both alkaline and acidic electrolytes.
Main Methods:
- A one-pot microwave-assisted solvothermal method was employed to synthesize CuSn catalysts.
- Catalyst composition was varied by adjusting Cu-to-Sn atomic ratios.
- Electrochemical CO2 reduction was performed in a flow cell setup using alkaline and acidic electrolytes.
Main Results:
- The optimal CuSn catalyst achieved over 90% Faradaic efficiency (FE) for formate (HCOO-) production in alkaline media at -200 mA cm-2.
- In acidic conditions (pH 3), the catalyst produced formic acid (HCOOH) with 70% FE at the same current density.
- The catalyst demonstrated excellent long-term stability, maintaining high FE for formate over 20 hours in 1 M KOH.
Conclusions:
- Copper-tin (CuSn) catalysts exhibit high selectivity and stability for CO2 electroreduction to formate and formic acid.
- The catalyst's performance is tunable by adjusting the Cu-to-Sn atomic ratio.
- These findings highlight the potential of low-cost CuSn catalysts for industrial CO2 conversion applications.
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