Related Experiment Video
Updated: May 13, 2026

Synthesis and Performance Characterizations of Transition Metal Single Atom Catalyst for Electrochemical CO2 Reduction
Published on: April 10, 2018
Achieving High Selectivity and Stability in Electrocatalytic CO2 Reduction in Acidic Media via Ion Confinement
Xuelei Lang1, Ziyao Yang1, Qiang Fang1
1College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi, P.R. China.
Abstract:
Immobilizing cation-type organic molecules at the cathode represents a transformative strategy for enhancing the electrocatalytic CO2 reduction reaction (CO2RR) in acidic or pure water. However, the investigation of anion-type organic molecules is missing, and the roles of cations and anions are not well understood, especially in the membrane electrode assembly (MEA) configuration. Employing an ionic-confinement strategy mediated by a solid-state electrolyte, we systematically investigate the influence of cation- and anion-type organic molecules on CO2RR. Our findings show that cations in both cation- and anion-type molecules play a crucial role in inhibiting the hydrogen evolution reaction and promoting CO2RR in MEA. Utilizing an anion-type organic molecule, we achieved exceptional CO Faradaic efficiencies of 98.4% in H2SO4 media (pH = 1) and 95.8% in pure water-fed MEAs on Ag. Additionally, with cation-type organic molecules, we demonstrated robust operational stability of 150 h in H2SO4 (pH = 1) electrolyte and 460 h in an ultra-low potassium concentration (2 mM) acidic electrolyte in MEA configuration. This work establishes a versatile framework for achieving high-efficiency, long-term CO2 electrolysis across diverse electrolyte environments, highlighting its potential for industrial-scale application.
More Related Videos
Related Concept Videos
Controlled-Potential Coulometry: Electrolytic Methods
The chosen potential ensures...
Electrodeposition
Electrodeposition can...
Heterogeneous Catalysis
Colloidal precipitates
Processes at Electrodes
Extraction: Advanced Methods

