Issue 21, 2018

Highly dispersed Co and Ni nanoparticles encapsulated in N-doped carbon nanotubes as efficient catalysts for the reduction of unsaturated oxygen compounds in aqueous phase

Abstract

N-Doped carbon nanotube-encapsulated metal nanoparticles are of great interest in heterogeneous catalysis owing to their improved mass transfer ability and superior stability. Herein, a facile one-pot pyrolysis approach using melamine as the carbon and nitrogen source was developed to fabricate metal nanoparticles embedded in bamboo-like N-doped carbon nanotubes (named as Co@NCNTs-600-800 and Ni@NCNTs-600-800). The optimized Co@NCNTs-600-800 catalyst exhibited outstanding activity in furfural (FAL) selective hydrogenation to furfuryl alcohol (FOL) or cyclopentanone (CPO) in aqueous media. High yields of FOL (100%) and CPO (75.3%) were achieved at 80 °C and 140 °C, respectively. Besides, this cobalt catalyst showed very good stability and recyclability during the reaction. The synergistic effect between metallic cobalt and N-doped carbon nanotubes was systematically investigated. In addition, the as-prepared Ni@NCNTs-600-800 catalyst also exhibited remarkable activity. Under optimal conditions (100 °C and 4 MPa H2 pressure), a maximum tetrahydrofurfuryl alcohol (THFOL) yield (99.5%) was obtained in the aqueous-phase hydrogenation of FAL. The research thus highlights new perspectives for non-noble metal-based N-doped carbon nanotube catalysts for biomass transformation.

Graphical abstract: Highly dispersed Co and Ni nanoparticles encapsulated in N-doped carbon nanotubes as efficient catalysts for the reduction of unsaturated oxygen compounds in aqueous phase

Supplementary files

Article information

Article type
Paper
Submitted
18 Jul 2018
Accepted
16 Sep 2018
First published
17 Sep 2018

Catal. Sci. Technol., 2018,8, 5506-5514

Highly dispersed Co and Ni nanoparticles encapsulated in N-doped carbon nanotubes as efficient catalysts for the reduction of unsaturated oxygen compounds in aqueous phase

W. Gong, C. Chen, H. Zhang, G. Wang and H. Zhao, Catal. Sci. Technol., 2018, 8, 5506 DOI: 10.1039/C8CY01488D

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