Quickly Generated N, Co Codoped Porous Graphene from Waste Biomass at Low Temperature for an Effective Oxygen Reduction Reaction

Porous carbon nanomaterials derived from waste biomass have attracted a great deal of attention as high-performance nonprecious metal electrocatalysts for the oxygen reduction reaction (ORR). However, the production of porous carbon nanocatalysts usually requires a high temperature and a long time. Here, we propose a fast low-temperature strategy to obtain nonmetal and transition metal codoped porous graphene with a tunable hole structure from waste seed husk via a triple KCl/LiCl/ZnCl<sub>2</sub> molten salt system. The codoped porous graphene exhibited a large specific surface area, sufficient microporous/mesoporous channels, and equally distributed elements, resulting in excellent catalytic activity, long-term stability, and methanol tolerance for ORR in alkaline media. In particular, the prepared PG-600-N,Co catalyst retains 97.1% of its initial current density after a chronoamperometric response test of 65 000 s, which is much better than the commercial Pt/C catalyst. Moreover, PG-600-N,Co can be applied as an anode in lithium-ion batteries (LIBs) and exhibits outstanding performance. In particular, it shows a specific capacity of 404 mAh g<sup>-1</sup> after 100 cycles at a current density of 1 A g<sup>-1</sup>. Our work offers a feasible massive synthesis of regulated codoped porous graphene as efficient ORR nanocatalysts and anodes for LIBs.

Authors

Institutions

Publication Details

Journal
Langmuir
Published
2025-06-11
DOI
https://doi.org/10.1021/acs.langmuir.5c01740
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

Quickly Generated N, Co Codoped Porous Graphene from Waste Biomass at Low Temperature for an Effective Oxygen Reduction Reaction

Chuanghui Zhang, Wen Luo, Haicheng Xuan, Wenguang Wang et al.
2 links
Langmuir
Electrocatalysts for Energy Conversion
article

Quickly Generated N, Co Codoped Porous Graphene from Waste Biomass at Low Temperature for an Effective Oxygen Reduction Reaction

Chuanghui Zhang, Wen Luo, Haicheng Xuan, Wenguang Wang, Haoran An, Pengfei Yin, Huang Jin
article en

Abstract

Porous carbon nanomaterials derived from waste biomass have attracted a great deal of attention as high-performance nonprecious metal electrocatalysts for the oxygen reduction reaction (ORR). However, the production of porous carbon nanocatalysts usually requires a high temperature and a long time. Here, we propose a fast low-temperature strategy to obtain nonmetal and transition metal codoped porous graphene with a tunable hole structure from waste seed husk via a triple KCl/LiCl/ZnCl<sub>2</sub> molten salt system. The codoped porous graphene exhibited a large specific surface area, sufficient microporous/mesoporous channels, and equally distributed elements, resulting in excellent catalytic activity, long-term stability, and methanol tolerance for ORR in alkaline media. In particular, the prepared PG-600-N,Co catalyst retains 97.1% of its initial current density after a chronoamperometric response test of 65 000 s, which is much better than the commercial Pt/C catalyst. Moreover, PG-600-N,Co can be applied as an anode in lithium-ion batteries (LIBs) and exhibits outstanding performance. In particular, it shows a specific capacity of 404 mAh g<sup>-1</sup> after 100 cycles at a current density of 1 A g<sup>-1</sup>. Our work offers a feasible massive synthesis of regulated codoped porous graphene as efficient ORR nanocatalysts and anodes for LIBs.

LangmuirVol. 41(24)
Guangdong University of Technology (CN), Tianjin University (CN), Hebei University of Science and Technology (CN), Division of Materials Science and Engineering (AU), Institute of New Materials (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Guangzhou Municipal Science and Technology Project
Openalex Percentile: Top 92%
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.