Journal
CHEMELECTROCHEM
Volume 8, Issue 5, Pages 880-886Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/celc.202001613
Keywords
metal-organic frameworks; bismuth nanosheets; electrocatalysts; CO2 reduction; formate
Categories
Funding
- National Natural Science Foundation of China [21972015]
- Young top talents project of Liaoning Province [XLYC1907147]
- Joint Research Fund Liaoning-Shenyang National Laboratory for Materials Science [2019JH3/30100003]
- Fundamental Research Funds for the Central Universities [DUT20TD06]
- K&A Wallenberg Foundation
Ask authors/readers for more resources
Electrochemical CO2 reduction using Bi/CC-17 nanosheet arrays as catalysts shows high performance in converting CO2 to formate. Additionally, the use of a Bi-based electrode and a solar-driven In2O3/In2S3 parallel electrode system demonstrates high faradaic efficiencies for formate formation.
Electrochemical CO2 reduction is a promising way to achieve CO2 fixation and energy storage. However, it is a challenge to develop the potential electrocatalysts with excellent performance and selectivity. Herein, bismuth nanosheet arrays (Bi/CC-17) are prepared through an in situ electrochemical transformation strategy by use of Bi-based metal organic frameworks (MOFs) as the precursors, which are then attached on carbon cloth. The as-synthesized Bi/CC-17 nanosheet arrays achieve considerable partial current density of 45 mA cm(-2) and remarkably high faradic efficiency of 98 % at the potential of -1.1 V versus RHE for the conversion of CO2 to formate, outperforming most previously reported electrocatalysts. In particular, the solar-driven In2O3/In2S3 parallel to Bi two-electrode system with a In2O3/In2S3-based photoanode and typical Bi-based cathode achieves high faradaic efficiencies of >= 90 % for HCOOH formation, from -0.6 to -1.6 V versus the counter electrode (vs. CE). This work paves an avenue to develop MOF-derived electrocatalysts for sustainable conversion of CO2 into valuable chemicals.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available