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Research Article | Open Access

Quantitative kinetic analysis on oxygen reduction reaction: A perspective

Juan Wanga,b, Chang-Xin Zhaoc, Jia-Ning Liuc, Ding Renc, Bo-Quan Lia,b( ), Jia-Qi Huanga,b( ), Qiang Zhangc ( )
School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China
Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, 100081, China
Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
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Abstract

Oxygen reduction reaction (ORR) constitutes the core process of many energy storage and conversion devices including metal–air batteries and fuel cells. However, the kinetics of ORR is very sluggish and thus high-performance ORR electrocatalysts are highly regarded. Despite recent progress on minimizing the ORR half-wave potential as the current evaluation indicator, in-depth quantitative kinetic analysis on overall ORR electrocatalytic performance remains insufficiently emphasized. In this paper, a quantitative kinetic analysis method is proposed to afford decoupled kinetic information from linear sweep voltammetry profiles on the basis of the Koutecky–Levich equation. Independent parameters regarding exchange current density, electron transfer number, and electrochemical active surface area can be respectively determined following the proposed method. This quantitative kinetic analysis method is expected to promote understanding of the electrocatalytic effect and point out further optimization direction for ORR electrocatalysis.

Keywords

Oxygen reduction reactionElectrocatalysisMass transferQuantitative kinetic analysisKoutecky–Levich equation

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Nano Materials Science
Volume 3 Issue 3,
September 2021
Pages 313-318
DOI: 10.1016/j.nanoms.2021.03.006
Cite this article:
Wang J, Zhao C-X, Liu J-N, et al. Quantitative kinetic analysis on oxygen reduction reaction: A perspective. Nano Materials Science, 2021, 3(3): 313-318. https://doi.org/10.1016/j.nanoms.2021.03.006

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Revised: 06 February 2021
Accepted: 09 March 2021
Published: 28 April 2021
© 2021 Chongqing University.
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