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Zinc oxide thin-film chemical sensors in conjunction with neural network pattern recognition for trimethylamine and dimethylamine gases

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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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Authors and Affiliations

  1. Electron Device System Research Laboratory, Kanazawa Institute of Technology, 7-1 Oogigaoka, Nonoichi-machi, P.O. Kanazawa-South, 921, Ishikawa, Japan

    H. Nanto, S. Tsubakino, T. Kawai, M. Ikeda, S. Kitagawa & M. Habara

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  1. H. Nanto
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  2. S. Tsubakino
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  3. T. Kawai
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  4. M. Ikeda
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  5. S. Kitagawa
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  6. M. Habara
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Nanto, H., Tsubakino, S., Kawai, T. et al. Zinc oxide thin-film chemical sensors in conjunction with neural network pattern recognition for trimethylamine and dimethylamine gases. JOURNAL OF MATERIALS SCIENCE 29, 6529–6532 (1994). https://doi.org/10.1007/BF00354016

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  • DOI: https://doi.org/10.1007/BF00354016

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