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3D-foam-structured nitrogen-doped graphene-Ni catalyst for highly efficient nitrobenzene reduction

Authors :
Yuan Pu
Jie-Xin Wang
Jie Shi
Zhiyong Wang
Dan Wang
Jian-Feng Chen
Source :
AIChE Journal. 64:1330-1338
Publication Year :
2017
Publisher :
Wiley, 2017.

Abstract

We report the preparation of a porous 3D-foam-structured nitrogen-doped graphene-Ni (NG/NF) catalyst and the evaluation of its performance in the reduction of nitrobenzene (NB) through detailed studies of the kinetics. The NG/NF catalyst showed a significantly higher reaction rate than pure Ni foam (NF). Moreover, the separation of the 3D-foam-structured catalyst from the products was more convenient than that of NG powdered catalysts. The obtained kinetics data fit well to the Langmuir-Hinshelwood model, with an error ratio below 10%. Density functional theory (DFT) calculations indicated that the adsorption of sodium borohydride (NaBH4) on the NG/NF surface was stronger than that of NB, which strongly agreed with the kinetic parameters determined from the Langmuir-Hinshelwood model. The excellent catalytic efficiency of the 3D-foam-structured catalyst combined with the knowledge of the kinetics data make this catalyst promising for application in larger scale nitrobenzene reduction. © 2017 American Institute of Chemical Engineers AIChE J, 2017

Details

ISSN :
00011541
Volume :
64
Database :
OpenAIRE
Journal :
AIChE Journal
Accession number :
edsair.doi...........421f55ccb012080a675a81b1b2e54fef
Full Text :
https://doi.org/10.1002/aic.16016