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电合成过氧化氢电催化剂的设计及进展

谢东升 宋洋 丁莹 王耀彬 沈钰凡 赵云霞

南京信息工程大学学报2023,Vol.15Issue(6):741-757,17.
南京信息工程大学学报2023,Vol.15Issue(6):741-757,17.DOI:10.13878/j.cnki.jnuist.20221124001

电合成过氧化氢电催化剂的设计及进展

Recent advances and rational design of electrocatalysts on electrochemical oxygen reduction to H2O2

谢东升 1宋洋 2丁莹 2王耀彬 3沈钰凡 3赵云霞3

作者信息

  • 1. 中石化南京工程有限公司,南京,210094
  • 2. 南京晓庄学院 环境科学学院,南京,211171
  • 3. 南京信息工程大学 环境科学与工程学院/UNIST-NUIST中韩能源与环境联合实验室,南京,210044
  • 折叠

摘要

Abstract

Hydrogen peroxide(H2O2)is an environmentally friendly and efficient oxidant,which is widely used in industries like medicine and semiconductor chip.The electrochemical synthesis of H2O2 by Oxygen Reduction Reac-tion(ORR)has great potential to replace traditional anthraquinone method.To commercialize this process,the de-velopment of 2e-ORR electrocatalysts with high activity,high selectivity and long-term stability is imminent.Here,we systematically present the research of currently available metal and non-metal based catalysts,with special em-phasis on the control strategy of surface groups,and resolves effects on bond binding strength and electron transfer pathways of intermediates in the reduction process.We focus on key strategies such as electronic and geometric effects,coordination heteroatom doping,and active sites of nonmetal-based materials,highlighting that appropriate meso-structural engineering and kinetic strategies can further optimize the catalytic activity and H2O2 selectivity of existing catalysts.Finally,we summarize the challenges in exploring the active centers of non-metallic catalysts,the influence of electrolyte environment on catalysts and industrial equipment design with large output power,and pros-pect the future development in electrocatalytic synthesis of hydrogen peroxide.

关键词

电合成/过氧化氢/两电子氧还原反应/催化机制/活性位点

Key words

electrosynthesis/hydrogen peroxide(H2O2)/two-electron oxygen reduction reaction/catalytic mecha-nism/active site

分类

化学化工

引用本文复制引用

谢东升,宋洋,丁莹,王耀彬,沈钰凡,赵云霞..电合成过氧化氢电催化剂的设计及进展[J].南京信息工程大学学报,2023,15(6):741-757,17.

基金项目

江苏省高校自然科学研究基金面上项目(20KJD480001) (20KJD480001)

南京信息工程大学学报

OA北大核心CSTPCD

1674-7070

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