Protonation-Gated Hydrogen Evolution Enabled by Pyridinic Nitrogen on Graphene Edges

As a cost-effective and acid-stable alternative to noble-metal catalysts, the rational design of high-performance metal-free electrocatalysts hinges on in-depth mechanistic insights and precise structural regulation. Graphene and its derivatives hold great promise, yet their heteroatom doping often compromises lattice integrity and intrinsic electronic properties. Herein, we report highly active HER electrocatalysts with ceramic-protected graphene edges that enable N 2 plasma functionalization while largely preserving the graphitic framework. Using in situ electrochemical characterization, we systematically investigate the catalytic role of nitrogen species in a ceramic-protected graphene edge architecture. The optimized catalyst delivers an overpotential of 46 mV at 10 mA cm –2, 6-fold lower than that of pristine edges even after 2000 CV cycles, outperforming most reported metal-free catalysts and approaching state-of-the-art metal-based benchmarks. Most importantly, these results propose a plausible protonation-gated mechanism: under acidic HER conditions, reversible protonation/deprotonation near-edge pyridinic N may tune α-C sites for favorable H adsorption, enhancing HER activity.

Authors

Institutions

Publication Details

Journal
Nano Letters
Published
2026-06-29
DOI
https://doi.org/10.1021/acs.nanolett.6c01760
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Protonation-Gated Hydrogen Evolution Enabled by Pyridinic Nitrogen on Graphene Edges

Y Li, Hongwei Zhu, Xinyu Zhu, Wangyang Fu et al.
Nano Letters
Electrocatalysts for Energy Conversion
article

Protonation-Gated Hydrogen Evolution Enabled by Pyridinic Nitrogen on Graphene Edges

Y Li, Hongwei Zhu, Xinyu Zhu, Wangyang Fu, Chunlei Wan, Yujia Huang, JS Gao, Ruopeng Cui, D. Chen, Xi Zhang, Jiatong Liu
article en

Abstract

As a cost-effective and acid-stable alternative to noble-metal catalysts, the rational design of high-performance metal-free electrocatalysts hinges on in-depth mechanistic insights and precise structural regulation. Graphene and its derivatives hold great promise, yet their heteroatom doping often compromises lattice integrity and intrinsic electronic properties. Herein, we report highly active HER electrocatalysts with ceramic-protected graphene edges that enable N 2 plasma functionalization while largely preserving the graphitic framework. Using in situ electrochemical characterization, we systematically investigate the catalytic role of nitrogen species in a ceramic-protected graphene edge architecture. The optimized catalyst delivers an overpotential of 46 mV at 10 mA cm –2, 6-fold lower than that of pristine edges even after 2000 CV cycles, outperforming most reported metal-free catalysts and approaching state-of-the-art metal-based benchmarks. Most importantly, these results propose a plausible protonation-gated mechanism: under acidic HER conditions, reversible protonation/deprotonation near-edge pyridinic N may tune α-C sites for favorable H adsorption, enhancing HER activity.

Nano Letters
Leiden University (NL), Capital University (US), Foshan University (CN), Capital Medical University (CN), Beijing University of Chemical Technology (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Beijing Municipal Science and Technology Commission, National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 20%
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.