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  5. Photocatalytic Methanol Dehydrogenation with Switchable Selectivity

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Article
en
2025

Photocatalytic Methanol Dehydrogenation with Switchable Selectivity

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en
2025
Vol 147 (4)
Vol. 147
DOI: 10.1021/jacs.4c14413

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Peidong Yang
Peidong Yang

University of California, Berkeley

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Jie Luo
Cheng Zhu
Jialu Li
+18 more

Abstract

Switchable selectivity achieved by altering reaction conditions within the same photocatalytic system offers great advantages for sustainable chemical transformations and renewable energy conversion. In this study, we investigate an efficient photocatalytic methanol dehydrogenation with controlled selectivity by varying the concentration of nickel cocatalyst, using zinc indium sulfide nanocrystals as a semiconductor photocatalyst, which enables the production of either formaldehyde or ethylene glycol with high selectivity. Control experiments revealed that formaldehyde is initially generated and can either serve as a terminal product or intermediate in producing ethylene glycol, depending on the nickel concentration in the solution. Mechanistic studies suggest a unique role of ionic nickel as an additional photoelectron competitor that can significantly influence selectivity, alongside its well-established function as a hydrogen evolution reaction cocatalyst under photocatalytic conditions. The demonstrated switchable selectivity provides a new tool for producing diverse products from methanol, while advancing the understanding of cocatalyst behavior for versatile catalytic performance.

How to cite this publication

Jie Luo, Cheng Zhu, Jialu Li, Jianbo Jin, Nathan E. Soland, Patrick W. Smith, Shan Yu, Alexander M. Oddo, Arifin Luthfi Maulana, L. Jayasinghe, Xinyu Chen, Tianle Wang, Jia‐An Lin, Eric Lu, Bernd Schaefer, Matthias Schmalzbauer, Rui Zhang, F. Seeler, Carlos Lizandara‐Pueyo, Jinghua Guo, Peidong Yang (2025). Photocatalytic Methanol Dehydrogenation with Switchable Selectivity. , 147(4), DOI: https://doi.org/10.1021/jacs.4c14413.

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Publication Details

Type

Article

Year

2025

Authors

21

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/jacs.4c14413

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