Abstract

Electrochemical reduction of CO2 (CO2R) to formic acid upgrades waste CO2; however, up to now, chemical and structural changes to the electrocatalyst have often led to the deterioration of performance over time. Here, we find that alloying p-block elements with differing electronegativities modulates the redox potential of active sites and stabilizes them throughout extended CO2R operation. Active Sn-Bi/SnO2 surfaces formed in situ on homogeneously alloyed Bi0.1Sn crystals stabilize the CO2R-to-formate pathway over 2400 h (100 days) of continuous operation at a current density of 100 mA cm−2. This performance is accompanied by a Faradaic efficiency of 95% and an overpotential of ~ −0.65 V. Operating experimental studies as well as computational investigations show that the stabilized active sites offer near-optimal binding energy to the key formate intermediate *OCHO. Using a cation-exchange membrane electrode assembly device, we demonstrate the stable production of concentrated HCOO solution (3.4 molar, 15 wt%) over 100 h.

Stable electrochemical reduction to formate is still challenging. Here, the authors demonstrate a redox-modulation and active-site stabilization strategy for CO2 to formate conversion over 100 days of continuous operation at 100 mA/cm2 with a cathodic energy efficiency of 70%.

Details

Title
Stable, active CO2 reduction to formate via redox-modulated stabilization of active sites
Author
Li, Le 1 ; Ozden Adnan 2 ; Guo Shuyi 3 ; Garcı́a de Arquer F Pelayo 4   VIAFID ORCID Logo  ; Wang Chuanhao 1 ; Zhang, Mingzhe 1 ; Zhang, Jin 1 ; Jiang Haoyang 1 ; Wang, Wei 3   VIAFID ORCID Logo  ; Dong Hao 3   VIAFID ORCID Logo  ; Sinton, David 2   VIAFID ORCID Logo  ; Sargent, Edward H 4   VIAFID ORCID Logo  ; Zhong Miao 1 

 Nanjing University, College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructure, Jiangsu Key Laboratory of Artificial Functional Materials, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X) 
 University of Toronto, Department of Mechanical and Industrial Engineering, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938) 
 Nanjing University, Kuang Yaming Honors School & Institute for Brain Sciences, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X) 
 University of Toronto, Department of Electrical and Computer Engineering, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2568102751
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.