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Cited by 175

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The Mechanism of Oxygen Reduction at Platinum in Alkaline Solutions with Special Reference to H[sub 2]O[sub 2]

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Damjanovic, A., Genshaw, M. A., Bockris, J. O'M.·1967·Journal of The Electrochemical Society

Abstract

A rotating disk electrode with a concentric ring has been used to determine the role of hydrogen peroxide in the reduction of oxygen at platinum electrodes in alkaline solution. Oxygen reduction proceeds along two parallel reaction paths with comparable rates. In one of the paths, hydrogen peroxide is a reaction intermediate which is partially reduced to water. In the other, oxygen reduces to water without hydrogen peroxide as an intermediate. In the path with hydrogen peroxide intermediate, the first part of the probable sequence of reaction steps is shown to be The peroxide anion is thereafter reduced to water in a path which does not involve an electron transfer before or in the rate‐controlling step. Possible paths for oxygen reduction to water without peroxide intermediates are discussed in the light of already proposed mechanisms for the reduction at prereduced and preoxidized electrodes.

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Metadata

Authors
Damjanovic, A., Genshaw, M. A., & Bockris, J. O.
Venue
Journal of The Electrochemical Society
Published
1967
Volume
114
Issue
11
Pages
1107
ISSN
0013-4651 (ISSN-L)
OpenAlex
W2149729351
Cited by
175
References
0
FWCI
3.60
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Mechanism of Oxygen Reduction at Platinum in Alkaline Solutions with Special Reference to H[sub 2]O[sub 2]. https://app.cochat.ai/papers/10.1149/1.2426425
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Damjanovic, A., Genshaw, M. A., & Bockris, J. O. (1967). The Mechanism of Oxygen Reduction at Platinum in Alkaline Solutions with Special Reference to H[sub 2]O[sub 2]. Journal of The Electrochemical Society. https://doi.org/10.1149/1.2426425

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.