Understanding the Mechanism of Fe–N–C Catalyst Oxygen Reduction Reaction Performance Enhancement: The Impact of Iron Valence State and Nitrogen Content

Optimizing non-noble catalysts for the oxygen reduction reaction (ORR) is crucial for advancing energy storage and conversion technologies. This study investigates the influence of iron valence states and nitrogen precursor contents on the physicochemical properties and electrochemical performance of lignin-based Fe-N-C catalysts. Catalysts are synthesized using different valence iron sources and varying pyrrole contents. The results reveal that iron(II) doping increases microporosity and specific surface area, while iron(III) doping enhances mesoporous and iron contents of the carbon materials. XPS and Raman spectroscopy confirm the successful incorporation of Fe-N<sub><i>x</i></sub> active sites in the as-prepared LFe<sub>III</sub>P<sub><i>x</i></sub> catalysts. Electrochemical tests demonstrate that LFe<sub>III</sub>P<sub>10</sub> exhibits the highest ORR activity, surpassing commercial Pt/C in half-wave potential (<i>E</i><sub>1/2</sub>) and limiting current density (<i>J</i><sub>L</sub>). The direct formate fuel cell (DFFC) with an LFe<sub>III</sub>P<sub>10</sub> air cathode achieves a maximum power density of 24.7 mW cm<sup>-2</sup>, 32% higher than that with a Pt/C cathode. This study highlights the critical role of tailoring iron valence states and nitrogen levels to develop high ORR performance, cost-effective Fe-N-C catalysts, providing valuable insights for the future design of non-noble metal catalysts in energy applications.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-03-14
DOI
https://doi.org/10.1021/acsami.4c20112
Citations
3
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
1.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the Mechanism of Fe–N–C Catalyst Oxygen Reduction Reaction Performance Enhancement: The Impact of Iron Valence State and Nitrogen Content

Xu Yang, Jun Li, Yang Yang, Qiang Liao et al.
3 citations
ACS Applied Materials & Interfaces
Electrocatalysts for Energy Conversion
1.09
article

Understanding the Mechanism of Fe–N–C Catalyst Oxygen Reduction Reaction Performance Enhancement: The Impact of Iron Valence State and Nitrogen Content

Xu Yang, Jun Li, Yang Yang, Qiang Liao, Yudong Zhang, Xun Zhu, Ge Yao, Yuan He
article en
3 citations

Abstract

Optimizing non-noble catalysts for the oxygen reduction reaction (ORR) is crucial for advancing energy storage and conversion technologies. This study investigates the influence of iron valence states and nitrogen precursor contents on the physicochemical properties and electrochemical performance of lignin-based Fe-N-C catalysts. Catalysts are synthesized using different valence iron sources and varying pyrrole contents. The results reveal that iron(II) doping increases microporosity and specific surface area, while iron(III) doping enhances mesoporous and iron contents of the carbon materials. XPS and Raman spectroscopy confirm the successful incorporation of Fe-N<sub><i>x</i></sub> active sites in the as-prepared LFe<sub>III</sub>P<sub><i>x</i></sub> catalysts. Electrochemical tests demonstrate that LFe<sub>III</sub>P<sub>10</sub> exhibits the highest ORR activity, surpassing commercial Pt/C in half-wave potential (<i>E</i><sub>1/2</sub>) and limiting current density (<i>J</i><sub>L</sub>). The direct formate fuel cell (DFFC) with an LFe<sub>III</sub>P<sub>10</sub> air cathode achieves a maximum power density of 24.7 mW cm<sup>-2</sup>, 32% higher than that with a Pt/C cathode. This study highlights the critical role of tailoring iron valence states and nitrogen levels to develop high ORR performance, cost-effective Fe-N-C catalysts, providing valuable insights for the future design of non-noble metal catalysts in energy applications.

ACS Applied Materials & InterfacesVol. 17(12)
North University of China (CN), ITRI International (US), Chongqing University (CN), Institute of Engineering Thermophysics (CN)
Clean water and sanitation
Openalex Percentile: Top 25%
Electrocatalysts for Energy Conversion
1.09
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.