Issue 87, 2016, Issue in Progress

Enhanced methanol sensing properties of SnO2 microspheres in a composite with Pt nanoparticles

Abstract

SnO2 microspheres in a composite with Pt nanoparticles (0, 0.5, 1.5, 2.5, 5.0 mol% Pt loading) were synthesized by a solvothermal method. The crystal structure, morphology, and specific surface area were thoroughly characterized. It is found that the Pt–SnO2 nanocomposites consist of a large amount of small spheres with average diameters up to hundreds of nanometers, and every small sphere is composed of numerous primary nanocrystallites with an average size of about 8 nm. Compared with the pristine SnO2, the presence of Pt nanoparticles has no influence on the growth behavior of the SnO2 microspheres. The gas sensors based SnO2 microspheres in a composite with Pt nanoparticles not only show a lower operating temperature and immensely enhanced responses, but also exhibit a faster response and recovery speeds and remarkable stability to methanol, especially the 5.0 mol% Pt–SnO2 nanocomposite. The gas sensor based on the 5.0 mol% Pt–SnO2 nanocomposite exhibits a response value of 190.88 to 100 ppm methanol at a low operating temperature of 80 °C, while the gas sensor based on pristine SnO2 only displayed a response value of 19.38 at an operating temperature of 200 °C. The reasonable explanation of the gas-sensing performance enhancement for the gas sensors based on Pt–SnO2 nanocomposites is attributed to the strong spillover effect of the Pt nanoparticles and the electronic interaction between Pt nanoparticles and SnO2 microspheres, both of which promoted the low temperature gas-sensing performance.

Graphical abstract: Enhanced methanol sensing properties of SnO2 microspheres in a composite with Pt nanoparticles

Supplementary files

Article information

Article type
Paper
Submitted
28 Jun 2016
Accepted
30 Aug 2016
First published
30 Aug 2016

RSC Adv., 2016,6, 83870-83879

Enhanced methanol sensing properties of SnO2 microspheres in a composite with Pt nanoparticles

Y. Li, D. Deng, N. Chen, X. Xing, X. Xiao and Y. Wang, RSC Adv., 2016, 6, 83870 DOI: 10.1039/C6RA16636A

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