Back to Search
Start Over
3D-foam-structured nitrogen-doped graphene-Ni catalyst for highly efficient nitrobenzene reduction
- 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
- Subjects :
- Environmental Engineering
Materials science
General Chemical Engineering
Kinetics
02 engineering and technology
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
0104 chemical sciences
Catalysis
Reaction rate
Nitrobenzene
Sodium borohydride
chemistry.chemical_compound
Adsorption
chemistry
Chemical engineering
Density functional theory
0210 nano-technology
Porosity
Biotechnology
Subjects
Details
- ISSN :
- 00011541
- Volume :
- 64
- Database :
- OpenAIRE
- Journal :
- AIChE Journal
- Accession number :
- edsair.doi...........421f55ccb012080a675a81b1b2e54fef
- Full Text :
- https://doi.org/10.1002/aic.16016