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Journal of Nanoparticle Research
Erschienen in: Journal of Nanoparticle Research 12/2018

01.12.2018 | Research Paper

Highly dispersed CuCo nanoparticles supported on reduced graphene oxide as high-activity catalysts for hydrogen evolution from ammonia borane hydrolysis

verfasst von: Min Xu, Xiulan Huai, Hang Zhang

Erschienen in: Journal of Nanoparticle Research | Ausgabe 12/2018

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Abstract

Hydrogen has been considered one of the best energy carriers to satisfy the increasing demand for clean and renewable energy supply. In this paper, a series of copper-based (CuCo, CuNi, and CuFe) nanoparticles supported on reduced graphene oxide (rGO) were synthesized via a facile one-pot chemical reduction route, and their catalytic performance on hydrogen evolution from ammonia borane (NH3BH3, AB) hydrolysis at room temperature was studied. The results revealed that the Cu0.2Co0.8 nanoparticles (~ 2.1 nm) on rGO exhibited the highest activity, and Co nanoparticles (~ 3.9 nm) on rGO also displayed the excellent performance. Among all the as-prepared Cu0.2Co0.8/rGO catalysts, Cu0.2Co0.8/rGO with 48 wt% nanoparticles exhibits the highest activity with the initial hydrogen production rate values as high as 50.6 mol H2 molmetal−1 min−1, superior to the majority of Cu-based non-noble metal catalysts. The excellent performance could be attributed to the well dispersion of CuCo nanoparticles on reduced graphene oxide.
Vorheriger Artikel Facile fabrication of sandwich-like BiOI/AgI/g-C3N4 composites for efficient photocatalytic degradation of methyl orange and reduction of Cr(VI)
Nächster Artikel Characterization of airborne particle release from nanotechnology-enabled clothing products

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Metadaten
Titel
Highly dispersed CuCo nanoparticles supported on reduced graphene oxide as high-activity catalysts for hydrogen evolution from ammonia borane hydrolysis
verfasst von
Min Xu
Xiulan Huai
Hang Zhang
Publikationsdatum
01.12.2018
Verlag
Springer Netherlands
Erschienen in
Journal of Nanoparticle Research / Ausgabe 12/2018
Print ISSN: 1388-0764
Elektronische ISSN: 1572-896X
DOI
https://doi.org/10.1007/s11051-018-4429-6

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