Journal
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 45, Issue 45, Pages 24054-24065Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2019.03.272
Keywords
Highly dispersed Ni and Cu; gamma-valerolactone; Hydrogenation; Methyl levulinate
Categories
Funding
- Thailand Research Fund
- National Nanotechnology Center (NANOTEC)
- Synchrotron Light Research Institute (SLRI) [BRG6080015, TRG6080004]
- Research Network NANOTEC (RNN) program of the National Nanotechnology Center (NANOTEC), NSTDA, Ministry of Science and Technology, Thailand
Ask authors/readers for more resources
Copper and nickel nanoparticles highly dispersed on an ordered mesoporous silica support (SBA-15) were prepared by a glycol-assisted impregnation method and tested for the catalytic transfer hydrogenation reaction of methyl levulinate to gamma-valerolactone (GVL). Characterizations by high resolution transmission electron microscopy, X-ray diffraction, N-2 sorption, H-2 temperature-programmed reduction and X-ray absorption spectroscopy confirm that the highly dispersed nanoparticles were well-anchored to the mesopores of SBA-15 with the strong interaction. Comparing to a catalyst synthesized by a conventional aqueous impregnation method, our catalyst shows a higher conversion and greater selectivity towards GVL of reaction at 140-170 degrees C using 2-propanol as a solvent and a hydrogen donor. Results showed that Ni-Cu/SBA-15 (EG) had much better activity, providing 91.3% conversion of ML with 89.7% selectivity towards GVL in 3 h at 140 degrees C. The high compositional homogeneity, uniform distribution of the nanoparticles in the mesoporous channels and the strong interaction between the metal nanoparticles and SBA-15 contribute to the superior catalytic performance. This catalyst also demonstrates superb stability over the course of 5 reaction cycles without significant loss in catalytic activity and selectivity towards GVL formation. (C) 2019 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available