Bismuth‐Mediated Zinc Extraction‐Induced Carbon Defects Boost Fe Single‐Atom Catalysis for Efficient Oxygen Reduction

ABSTRACT Fe single‐atom catalysts with Fe‐N 4 configurations typically suffer from excessive adsorption of oxygenated intermediates, leading to intrinsic limitations in catalytic efficiency. Here, we propose a Bi‐mediated Fe‐adjacent Zn extraction strategy to create defects adjacent to Fe‐N 4 moieties on ZIF‐8‐derived carbon support, thereby tailoring the local microenvironment of Fe single atoms. The resulting Fe‐N‐pC d catalyst exhibits outstanding oxygen reduction reaction (ORR) activity in alkaline electrolyte, delivering a half‐wave potential of 0.918 V versus RHE along with excellent durability. The assembled quasi‐solid‐state Zn‐air battery using Fe‐N‐pC d as the air cathode catalyst affords stable operation for over 3000 h at −40°C. Mechanistic investigations demonstrate that the formed carbon defects adjacent to Fe‐N 4 sites redistribute the local electron density and favor the formation of an axial *OH‐bound Fe state under ORR conditions. This defect‐modulated coordination environment lowers the Fe d‐band center and alleviates the overly strong Fe‐*OH coupling, thereby changing the potential‐limiting step from *OH removal to *OOH formation and accelerating ORR kinetics. This study provides a neighboring‐template extraction route for engineering defect microenvironments adjacent to metal single atoms, opening new opportunities for the design of efficient ORR electrocatalysts.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2026-11-09
DOI
https://doi.org/10.1002/adma.75626
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
NOV
article

Bismuth‐Mediated Zinc Extraction‐Induced Carbon Defects Boost Fe Single‐Atom Catalysis for Efficient Oxygen Reduction

Junmou Chen, Qiang Xü, Fanchao Zhang, Lei Li et al.
Advanced Materials
Electrocatalysts for Energy Conversion
article

Bismuth‐Mediated Zinc Extraction‐Induced Carbon Defects Boost Fe Single‐Atom Catalysis for Efficient Oxygen Reduction

Junmou Chen, Qiang Xü, Fanchao Zhang, Lei Li, Yu Lu, Xin Xiao, Yangfan Shao
article en

Abstract

ABSTRACT Fe single‐atom catalysts with Fe‐N 4 configurations typically suffer from excessive adsorption of oxygenated intermediates, leading to intrinsic limitations in catalytic efficiency. Here, we propose a Bi‐mediated Fe‐adjacent Zn extraction strategy to create defects adjacent to Fe‐N 4 moieties on ZIF‐8‐derived carbon support, thereby tailoring the local microenvironment of Fe single atoms. The resulting Fe‐N‐pC d catalyst exhibits outstanding oxygen reduction reaction (ORR) activity in alkaline electrolyte, delivering a half‐wave potential of 0.918 V versus RHE along with excellent durability. The assembled quasi‐solid‐state Zn‐air battery using Fe‐N‐pC d as the air cathode catalyst affords stable operation for over 3000 h at −40°C. Mechanistic investigations demonstrate that the formed carbon defects adjacent to Fe‐N 4 sites redistribute the local electron density and favor the formation of an axial *OH‐bound Fe state under ORR conditions. This defect‐modulated coordination environment lowers the Fe d‐band center and alleviates the overly strong Fe‐*OH coupling, thereby changing the potential‐limiting step from *OH removal to *OOH formation and accelerating ORR kinetics. This study provides a neighboring‐template extraction route for engineering defect microenvironments adjacent to metal single atoms, opening new opportunities for the design of efficient ORR electrocatalysts.

Advanced Materials
Kyoto University (JP), Southern University of Science and Technology (CN), Institute for Integrated Cell-Material Sciences, Kyoto University (JP)
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.

Laika access coming soon