Journal
SENSORS AND ACTUATORS B-CHEMICAL
Volume 104, Issue 1, Pages 132-139Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2004.05.015
Keywords
WO3 nanoparticle; gas sensor; ethanol; H2S; fast Fourier transform; wavelet analysis; pattern recognition
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Low-level detection of ethanol and H2S was achieved with thermally modulated WO3 nanoparticle gas sensors. Nanoparticle WO3 films, with a mean grain size of similar to5 run and a thickness of similar to20 mum, were produced by advanced reactive gas evaporation onto alumina substrates. The working temperature of the sensor was periodically modulated between 150 and 250 degreesC, and the response was analysed by fast Fourier transform (FFT) and discrete wavelet transform (DWT) methods in order to extract characteristic parameters from the sensors' response transients. After calibration of the sensor for low concentrations of ethanol and H2S, it was possible to detect as little as 200 ppb of ethanol and 20 ppb of H2S (both of them dry gases) with good accuracy. Long-term sensor behaviour was assessed. Unsupervised and supervised linear pattern recognition methods, specifically principal component analysis (PCA) and discriminant factor analysis (DFA), were successfully applied to distinguish the investigated gases. (C) 2004 Elsevier B.V. All rights reserved.
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