Issue 16, 2014

Hierarchical SnO2 architectures: controllable growth on graphene by atmospheric pressure chemical vapour deposition and application in cataluminescence gas sensor

Abstract

A facile catalyst-free atmospheric pressure chemical vapour deposition (APCVD) method for the growth of hierarchical SnO2 architectures on graphene is demonstrated. SnO2 2D nanorod arrays, flower@column composites, dendrite structures, and nanoparticles grown on graphene, named as SnO2/graphene architectures, were synthesized on Thermally-Reduced Graphene Oxide (TRGO) and Chemically-Reduced Graphene Oxide (CRGO), respectively. According to characterizations, the rutile SnO2 architectures had large-area uniformity and high crystallinity, which were highly densely and uniformly grown on graphene. A self-catalyzed vapor–solid (VS) and a self-catalyzed vapor–liquid–solid (VLS) mechanisms were proposed based on the detailed observation on the growth behaviour of the SnO2/graphene materials. The synthesized SnO2/graphene materials were directly used to construct gas sensors for methanol detection based on the cataluminescence (CTL) emission. Further study indicated that the SnO2/graphene materials showed enhanced CTL response to methanol and a morphology-dependent CTL performance. And then a fast and highly effective gas sensor for selective detection of methanol was designed based on the SnO2/graphene nanoparticles. The linear range of the methanol gas sensor was 6.3–88.5 μg mL−1, and the detection limit was 5.2 μg mL−1 (S/N = 3).

Graphical abstract: Hierarchical SnO2 architectures: controllable growth on graphene by atmospheric pressure chemical vapour deposition and application in cataluminescence gas sensor

Supplementary files

Article information

Article type
Paper
Submitted
12 Dec 2013
Accepted
30 Jan 2014
First published
30 Jan 2014

CrystEngComm, 2014,16, 3331-3340

Hierarchical SnO2 architectures: controllable growth on graphene by atmospheric pressure chemical vapour deposition and application in cataluminescence gas sensor

L. Yu, L. Zhang, H. Song, X. Jiang and Y. Lv, CrystEngComm, 2014, 16, 3331 DOI: 10.1039/C3CE42538J

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