Hydrogen oxidation on graphene-covered Pt(111) electrodes

Membrane-coated electrocatalysts offer a promising solution for current challenges in electrocatalysis, such as the susceptibility of the hydrogen oxidation reaction (HOR) to impurities. However, the understanding of how such coatings influence electrochemical processes remains limited. In this study, we present graphene-covered Pt(111) as a model system to investigate these effects. Graphene, known for its chemical stability and tunability, serves as a representative membrane, while Pt(111) is a well-known HOR catalyst that provides a useful comparison. The defect density in the graphene was systematically varied electrochemically and quantified using a proton-permeation resistance, measured with electrochemical impedance spectroscopy. We found that significant HOR activity is only obtained beyond a critical defect density. This suggests that molecular hydrogen permeation requires larger defect structures compared to atomic-scale defects that facilitate proton transport. Beyond this critical defect density the limitation of H 2 mass transport is also observed. We also show evidence that multi-layer graphene structures do not allow for effective HOR. Additionally, we observed a potential-dependent change in catalytic performance: cycling below 1.0 V led to a decrease in HOR current, while cycling to more positive potentials led to an increase. We attribute this behavior to potential-induced structural changes in the graphene layer. This study thereby highlights the importance of understanding the dynamic behavior of catalyst coatings in relation to their catalytic performance.

Authors

Institutions

Publication Details

Journal
Electrochimica Acta
Published
2026-01-05
DOI
https://doi.org/10.1016/j.electacta.2026.148131
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hydrogen oxidation on graphene-covered Pt(111) electrodes

Katinka Boterman, Marc T.M. Koper
Electrochimica Acta
Electrocatalysts for Energy Conversion
article

Hydrogen oxidation on graphene-covered Pt(111) electrodes

Katinka Boterman, Marc T.M. Koper
article en

Abstract

Membrane-coated electrocatalysts offer a promising solution for current challenges in electrocatalysis, such as the susceptibility of the hydrogen oxidation reaction (HOR) to impurities. However, the understanding of how such coatings influence electrochemical processes remains limited. In this study, we present graphene-covered Pt(111) as a model system to investigate these effects. Graphene, known for its chemical stability and tunability, serves as a representative membrane, while Pt(111) is a well-known HOR catalyst that provides a useful comparison. The defect density in the graphene was systematically varied electrochemically and quantified using a proton-permeation resistance, measured with electrochemical impedance spectroscopy. We found that significant HOR activity is only obtained beyond a critical defect density. This suggests that molecular hydrogen permeation requires larger defect structures compared to atomic-scale defects that facilitate proton transport. Beyond this critical defect density the limitation of H 2 mass transport is also observed. We also show evidence that multi-layer graphene structures do not allow for effective HOR. Additionally, we observed a potential-dependent change in catalytic performance: cycling below 1.0 V led to a decrease in HOR current, while cycling to more positive potentials led to an increase. We attribute this behavior to potential-induced structural changes in the graphene layer. This study thereby highlights the importance of understanding the dynamic behavior of catalyst coatings in relation to their catalytic performance.

Electrochimica ActaVol. 550
Leiden University (NL)
Openalex Percentile: Top 98%
Electrocatalysts for Energy Conversion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.