Inverse modeling of CO reactions at SnO 2 nanowire surfaces for selective detection

G. Tulzer, S. Baumgartner, E. Brunet, G. C. Mutinati, S. Steinhauer, A. Köck, C. Heitzinger A

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Nanowire gas sensors show high sensitivity towards various gases and offer great potential to improve present gas sensing. In this work, we investigate experimental results achieved with an undoped single SnO 2 nanowire sensor device for CO pulses in N 2 atmosphere at different operating temperatures. We calculated the reaction parameters according to the mass action law including frequency factors, activation energies, and numbers of intrinsic as well as extrinsic surface sites. With the values obtained, we then calculated the surface charge of the nanowire sensor by solving the corresponding differential equations. The simulated results agree very well with the experimental values at an operating temperature of 200°C and hence provide good understanding of the chemical reaction. This can be used to simulate the current through the transducer and consequently the sensitivity of the device, and the parameters provided here are useful for computational procedures to provide selectivity.

Original languageEnglish (US)
Title of host publicationProcedia Engineering
Pages809-812
Number of pages4
Volume47
DOIs
StatePublished - 2012
Externally publishedYes
Event26th European Conference on Solid-State Transducers, EUROSENSOR 2012 - Krakow, Poland
Duration: Sep 9 2012Sep 12 2012

Other

Other26th European Conference on Solid-State Transducers, EUROSENSOR 2012
CountryPoland
CityKrakow
Period9/9/129/12/12

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Keywords

  • Gas sensors
  • Inverse modeling
  • Nanowire
  • Selectivity
  • SnO
  • Surface reactions

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Tulzer, G., Baumgartner, S., Brunet, E., Mutinati, G. C., Steinhauer, S., Köck, A., & A, C. H. (2012). Inverse modeling of CO reactions at SnO 2 nanowire surfaces for selective detection In Procedia Engineering (Vol. 47, pp. 809-812) https://doi.org/10.1016/j.proeng.2012.09.270