Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

Modeling of hydrocarbon sensors based on p-type semiconducting perovskites

Title data

Sahner, Kathy ; Moos, Ralf:
Modeling of hydrocarbon sensors based on p-type semiconducting perovskites.
In: Physical Chemistry Chemical Physics. Vol. 9 (2007) Issue 5 . - pp. 635-642.
ISSN 1463-9084
DOI: https://doi.org/10.1039/b612965j

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
No information01SF0201 9.2

Project financing: Bundesministerium für Bildung und Forschung

Abstract in another language

In the scope of the present contribution, perovskite SrTi1−xFexO3−δ was investigated as a model material for conductometric hydrocarbon sensing at intermediate temperatures between 350 and 450 °C. To explain the observations made during sensor optimization in a quantitative way, a novel sensor model was proposed. At the microscopic scale, the local gas concentration affects local conductivity of the gas sensitive material. In the case of n-type tin oxide sensors, this interaction is commonly attributed to a redox reaction between the reducing analyte gas and adsorbed oxygen. In contrast, a reduction process affecting the entire bulk was assumed to govern gas sensitivity of SrTi1−xFexO3−δ films. Although very few variables needed to be assumed or fitted, the present bulk-type model was found to represent well sensor functionality of p-type conducting SrTi0.8Fe0.2O3−δ films. In addition to the temperature dependence of sensor response, the hydrocarbon sensitivity, m, was predicted with good accuracy. The different sensor responses towards hydrocarbons with a different chemical reactivity and other cross-interfering species, such as NO, was explained as well as the dependence on film thickness for screen printed films.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Functional Materials > Chair Functional Materials - Univ.-Prof. Dr.-Ing. Ralf Moos
Faculties
Faculties > Faculty of Engineering Science > Chair Functional Materials
Profile Fields > Advanced Fields > Advanced Materials
Research Institutions > Research Centres > Bayreuth Center for Material Science and Engineering - BayMAT
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 26 Jan 2015 08:23
Last Modified: 06 Apr 2016 08:09
URI: https://eref.uni-bayreuth.de/id/eprint/5993