arrow
Return

CO2 Reduction on Copper-Nitrogen-Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

delete2025-08-04
delete0
delete
OA
AI
D
Dorottya Hursán
J
Janis Timoshenko
A
Andrea Martini
H
Hyo Sang Jeon
E
Eduardo Ortega
M
Martina Rüscher
A
Arno Bergmann
A
Aram Yoon
U
Uta Hejral
A
Antonia Herzog
C
Clara Rettenmaier
F
Felix T. Haase
P
Philipp Grosse
B
Beatriz Roldán Cuenya *
DOI:10.1002/adfm.202510827delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Pulsed electrolysis attracts attention as a simple tool for tuning the structure and properties in many electrocatalytic systems. Here, pulsed reaction protocols are used to control the structure and selectivity of copper and nitrogen co-doped carbon (Cu-N-C) catalysts, employed for electrocatalytic CO2 reduction reaction (CO2RR). Specifically, while this catalyst is mostly selective for hydrogen during potentiostatic reduction, as high as 82% Faradaic efficiency for CO2RR products is reached by optimizing the pulse parameters. It is found that the product distribution depends strongly on the values of both the anodic and cathodic potentials, and the pulse parameter ranges for preferential CO, CH4, and C2H4 formation were identified. By performing detailed in situ and operando spectroscopic analysis, it is found that i) pulsing creates a favorable microenvironment for CO2RR by reducing the surface H-coverage on the N-doped carbon support, and ii) the dynamic evolution of the Cu active sites directs the selectivity toward hydrocarbons (CH4, C2H4). The periodic application of increasingly more anodic potentials results in more efficient redispersion of the metallic Cu clusters that are formed under cathodic potential. The C1/C2+ selectivity ratio depends on the fraction of the stabilized Cu single atoms and the size of the Cu particles formed under working conditions.
Keywords:
C2+ products
cluster formation
metal-nitrogen doped carbon
potential dependence
pulsed CO2 reduction
singly dispersed copper
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Advanced Functional Materials cover
Advanced Functional Materials
IF:
19
Papers:
3.4W
Citations:
32.1W

Organization

No organization information available