Ethanol and H2S gas detection in air and in reducing and oxidising ambience: Application of pattern recognition to analyse the output from temperature-modulated nanoparticulate WO3 gas sensors

R. Ionescu, A. Hoel, C. G. Granqvist, E. Llobet, P. Heszler

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

Ethanol and H2S, mixed with air or NO2, were detected using a novel nanocrystalline WO3 sensor produced by advanced gas deposition and operated in a dynamic mode effected by square voltage pulses applied to its heating element, thereby modulating the operating temperature between 150 and 250°C. The sensor signals were decomposed by fast Fourier and discrete wavelet transforms, and the ensuing data were used as inputs into various pattern recognition methods for identification and quantification purposes. We were able to show that ethanol and H2S could be detected with good sensitivity and selectivity in the presence of both reducing and oxidizing gases.

Original languageEnglish
Pages (from-to)124-131
Number of pages8
JournalSensors and Actuators, B: Chemical
Volume104
Issue number1
DOIs
Publication statusPublished - Jan 3 2005

Keywords

  • Fast fourier transform analysis
  • Gas sensor
  • Nanoparticle
  • Pattern recognition
  • Temperature modulation
  • Tungsten oxide
  • Wavelet analysis

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electrical and Electronic Engineering
  • Materials Chemistry

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