Publication Cover
Materials Technology
Advanced Performance Materials
Volume 31, 2016 - Issue 6
342
Views
15
CrossRef citations to date
0
Altmetric
Research Paper

Synthesis, characterisation and sensing properties of Sm2O3 doped SnO2 nanorods to C2H2 gas extracted from power transformer oil

, , , &
Pages 364-370 | Received 23 Mar 2015, Accepted 08 Aug 2015, Published online: 23 Feb 2016
 

Abstract

In this paper, pure and 1.5, 2.5 and 3.5 at.-% samarium oxide (Sm2O3) doped tin oxide (SnO2) nanorods were successfully synthesised with a facile and environment friendly hydrothermal process. All the as prepared nanostructures were carefully characterised by X-ray diffraction, field emission SEM, TEM, high resolution TEM and X-ray photoelectron spectroscopy respectively. Planar sensors were further fabricated with the as synthesised samples, and their sensing properties towards acetylene gas (C2H2), an extremely significant fault characteristic gas dissolved in oil immersed power transformers, were systematically measured. Interestingly, the sensing properties of the fabricated SnO2 nanorod based sensor to C2H2 gas can be obviously enhanced by adding Sm2O3, and the sensor doped with 3.5 at.-%Sm2O3 displays the most superior sensing characteristics, including operating temperature, sensitivity, response and recovery time, etc., as compared to other three cases. All results indicate that the synthesised Sm2O3 doped SnO2 sensing material might be a promising candidate for C2H2 sensing and lay a solid foundation for exploring high performance chemical gas sensor to detect C2H2 gas extracted from power transformer oil.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.