Zinc oxide thin-film chemical sensors in conjunction with neural network pattern recognition for trimethylamine and dimethylamine gases |
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Authors: | H. Nanto S. Tsubakino T. Kawai M. Ikeda S. Kitagawa M. Habara |
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Affiliation: | (1) Electron Device System Research Laboratory, Kanazawa Institute of Technology, 7-1 Oogigaoka, Nonoichi-machi, P.O. Kanazawa-South, 921 Ishikawa, Japan |
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Abstract: | Transient response curves for exposure to several gases are observed using zinc oxide (ZnO) thin-film gas sensors. It is found that an aluminium-doped ZnO (ZnO:Al) sensor exhibits a high sensitivity and an excellent selectivity for amine gases. In order to discriminate between gas species such as trimethylamine (TMA), dimethylamine (DMA) and other gases pattern recognition analysis using a neural network is carried out using parameters which characterize the transient responses of the sensor for exposure to gases. The recognition probability of the neural network is 90% for TMA and DMA with constant concentration and is 100% for TMA and DMA with different concentrations, except for a concentration of 1 p.p.m. |
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