Pt-Carbon Interaction-Determined Reaction Pathway and Selectivity for Hydrogenation of 5-Hydroxymethylfurfural over Carbon Supported Pt Catalysts
Abstract
In this study, a series of Pt catalysts supported on carbon materials, including multi-walled carbon nanotubes (CNTs), reduced graphene oxide (rGO), graphitic carbon nitride (g-C3N4), and biochar (BC), were prepared by impregnation or atomic layer deposition (ALD) methods. The Pt content was around 2.5 wt% in all the Pt catalysts, and the average Pt particle size was 1.6-1.9 nm for the catalysts prepared by impregnation (IM), which was slightly larger than that for the Pt catalyst (∼1.4 nm) synthesized by ALD (Pt/CNTs-ALD). All the catalysts were used in the HMF hydrogenation reaction to investigate the effects of different carbon materials and Pt-carbon interactions on the catalytic performance of catalysts. The main product was DHMF over all the Pt catalysts prepared by impregnation, and Pt/BC-IM showed the highest turnover frequency and the highest selectivity to DHMF (95.3%) with an HMF conversion of 94.6% after 10 h of reaction time, which could be due to the abundant functional groups on the surface of BC. Compared with the Pt/CNTs-IM catalyst, the main product over the Pt/CNTs-ALD catalyst was DMF with a yield of 47% due to the relatively strong Pt-CNT interaction. The interaction between Pt and CNTs is the dominant factor in determining the main product in the selective HMF hydrogenation reaction. After introducing Ni nanoparticles to Pt/CNTs-ALD, the yield of DMF reached 93.4% over the PtNi/CNTs-ALD bimetallic catalyst owing to the synergistic effect between Pt and Ni.
Recommended Citation
X. Wang et al., "Pt-Carbon Interaction-Determined Reaction Pathway and Selectivity for Hydrogenation of 5-Hydroxymethylfurfural over Carbon Supported Pt Catalysts," Catalysis Science and Technology, vol. 11, no. 4, pp. 1298 - 1310, Royal Society of Chemistry, Feb 2021.
The definitive version is available at https://doi.org/10.1039/d0cy01920h
Department(s)
Chemical and Biochemical Engineering
Research Center/Lab(s)
Intelligent Systems Center
International Standard Serial Number (ISSN)
2044-4753; 2044-4761
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Royal Society of Chemistry, All rights reserved.
Publication Date
21 Feb 2021
Comments
National Natural Science Foundation of China, Grant 22002010