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  5. Activating Metal Oxides Nanocatalysts for Electrocatalytic Water Oxidation by Quenching-Induced Near-Surface Metal Atom Functionality

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Article
en
2021

Activating Metal Oxides Nanocatalysts for Electrocatalytic Water Oxidation by Quenching-Induced Near-Surface Metal Atom Functionality

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en
2021
Vol 143 (35)
Vol. 143
DOI: 10.1021/jacs.1c04737

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Lin Gu
Lin Gu

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Changchun Ye
Juzhe Liu
Qinghua Zhang
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Abstract

Developing a reliable strategy for the modulation of the texture, composition, and electronic structure of electrocatalyst surfaces is crucial for electrocatalytic performance, yet still challenging. Herein, we develop a facile and universal strategy, quenching, to precisely tailor the surface chemistry of metal oxide nanocatalysts by rapidly cooling them in a salt solution. Taking NiMoO4 nanocatalysts an example, we successfully produce the quenched nanocatalysts offering a greatly reduced oxygen evolution reaction (OER) overpotential by 85 mV and 135 mV at 10 mA cm–2 and 100 mA cm–2 respectively. Through detailed characterization studies, we establish that quenching induces the formation of numerous disordered stepped surfaces and the near-surface metal ions doping, thus regulating the local electronic structures and coordination environments of Ni, Mo, which promotes the formation of the dual-site active and thereby affords a low energy pathway for OER. This quenching strategy is also successfully applied to a number of other metal oxides, such as spinel-type Co3O4, Fe2O3, LaMnO3, and CoSnO3, with similar surface modifications and gains in OER activity. Our finding provides a new inspiration to activate metal oxide catalysts and extends the use of quenching chemistry in catalysis.

How to cite this publication

Changchun Ye, Juzhe Liu, Qinghua Zhang, Xiaojing Jin, Yun Zhao, Zhenghui Pan, Guangxu Chen, Yongcai Qiu, Daiqi Ye, Lin Gu, Geoffrey I. N. Waterhouse, Lin Guo, Shihe Yang (2021). Activating Metal Oxides Nanocatalysts for Electrocatalytic Water Oxidation by Quenching-Induced Near-Surface Metal Atom Functionality. , 143(35), DOI: https://doi.org/10.1021/jacs.1c04737.

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Publication Details

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Article

Year

2021

Authors

13

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/jacs.1c04737

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