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  5. Gallium‐Based Eutectic Alloys as Liquid Electron Donors to Ruthenium Single‐Atom Catalysts for Selective Hydrogenation of Vanillin

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Article
en
2025

Gallium‐Based Eutectic Alloys as Liquid Electron Donors to Ruthenium Single‐Atom Catalysts for Selective Hydrogenation of Vanillin

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en
2025
Vol 137 (25)
Vol. 137
DOI: 10.1002/ange.202505073

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Lin Gu
Lin Gu

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Jia Song
Jianuo Liu
Xiaorong Zhu
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Abstract

Abstract Tuning the catalytic pathways of atomically dispersed single‐atom catalysts (SAC) has emerged as an effective strategy to optimize their overall catalytic activity. Herein, we present Ru 1 @m‐tube, a hollow carbon nitride‐supported Ru SAC, coated with eutectic galinstan (GaInSn), as a model catalyst, we demonstrate a performance inversion in vanillin conversion. Vanillin, as a biomass‐derived compound with industrial relevance, presents challenges in catalytic hydrogenation, making it an ideal model reaction to test and compare the catalyst's selectivity and efficiency. The as‐obtained Ru 1 @m‐tube(GaInSn) achieved nearly 100% vanillin conversion within 5 h and exhibited an impressive 93.8% selectivity for vanillyl alcohol. Electron spillover from gallium‐based eutectic alloys to highly diluted ruthenium sites enhances the desorption of vanillyl alcohol, resulting in an exceptional performance shift between hydrogenation and hydrodeoxygenation. Our findings not only offer a novel approach for modulating SAC performance via liquid–metal interfaces but also expand the understanding of promoter screening for various challenging reactions.

How to cite this publication

Jia Song, Jianuo Liu, Xiaorong Zhu, Xiaoming Mou, Huiling Zheng, Huang Zhou, Wenyu Wang, Yong Guan, Jun Tang, Yue Lin, Lirong Zheng, Tao Yao, Juncai Dong, Shiqiang Wei, Weixin Huang, Lin Gu, Jun Luo, Yafei Li, Yafei Zhao, Yuen Wu (2025). Gallium‐Based Eutectic Alloys as Liquid Electron Donors to Ruthenium Single‐Atom Catalysts for Selective Hydrogenation of Vanillin. , 137(25), DOI: https://doi.org/10.1002/ange.202505073.

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Publication Details

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Article

Year

2025

Authors

20

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/ange.202505073

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