Issue 1, 2025
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Catalysis Science & Technology

Correlation of the catalytic performance with Ruδ+ species on Ru/Nb2O5 in furfural aqueous reductive conversion†

Yulong Deng,abc   Binyu Zhang,abc   Huiru Wu,abc   Zhuo He,abc   Xiaorui Du, ORCID logo abc   Jiayi Ou,abc   Tianyu Ren, ORCID logo bc   Haiyong Wang, ORCID logo abc   Yuhe Liao,abc   Qiying Liu,*d   Chenguang Wang ORCID logo *abc  and  Yanbin Cui ORCID logo *abc  

* Corresponding authors

a School of Energy Science and Engineering, University of Science and Technology of China, Hefei 230026, PR China

b CAS Key Laboratory of Renewable Energy, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, PR China
E-mail: wangcg@ms.giec.ac.cn, cuiyb@ms.giec.ac.cn

c Guangdong Provincial Key Laboratory of Renewable Energy, Guangzhou 510640, P.R. China

d Jiangsu Co-Innovation Centre of Efficient Processing and Utilization of Forest Resources, International Innovation Centre for Forest Chemicals and Materials, Nanjing Forestry University, Nanjing 210037, PR China
E-mail: liuqy@njfu.edu.cn

Abstract

Ru/Nb2O5 is effective for furfural aqueous reductive conversion. Systematic characterization, kinetic studies and in situ DRIFT tests demonstrated that the Ruδ+ species abundance is highly correlated with the adsorption behavior of the substrate, key intermediate and product (furfural, 2-cyclopentenone, and cyclopentanone), which governs the FFR conversion rate and cyclopentanoid product selectivity.

Graphical abstract: Correlation of the catalytic performance with Ruδ+ species on Ru/Nb2O5 in furfural aqueous reductive conversion

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Article information

DOI
https://doi.org/10.1039/D4CY01272K
Article type
Communication
Submitted
22 Oct 2024
Accepted
18 Nov 2024
First published
02 Dec 2024
This article is Open Access
Creative Commons BY-NC license

Catal. Sci. Technol., 2025,15, 33-40

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Correlation of the catalytic performance with Ruδ+ species on Ru/Nb2O5 in furfural aqueous reductive conversion

Y. Deng, B. Zhang, H. Wu, Z. He, X. Du, J. Ou, T. Ren, H. Wang, Y. Liao, Q. Liu, C. Wang and Y. Cui, Catal. Sci. Technol., 2025, 15, 33 DOI: 10.1039/D4CY01272K

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