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Issue 3, 2019
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Pattern recognition of solid materials by multiple probe gases

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Abstract

A pattern recognition-based chemical sensor array is an efficient approach to discriminating odours or a complex mixture of gaseous molecules. In such an approach, solid materials are coated on surfaces of sensors as probe receptors, and gaseous molecules are exposed to those sensors as targets. Here, we propose the reverse approach, that is, gaseous molecules as probes and solid materials as targets, leading to pattern recognition of solid materials. Using a nanomechanical sensor as an example of a sensing platform, we have demonstrated that this approach can discriminate polymers with different molecular weights as well as those having slightly different functional groups evaluated through detailed classification using a support vector machine in addition to principal component analysis and linear discriminant analysis. Classification of those target solid materials with 100% accuracy has been achieved with some specific combinations of probe gases. Since any kind of gaseous molecule and any kind of chemical sensor can be utilized as the probe and sensing platform, respectively, this study will open a new horizon for comprehensive analysis of solid materials through a pattern formed by the gas–solid interaction.

Graphical abstract: Pattern recognition of solid materials by multiple probe gases

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Publication details

The article was received on 19 Sep 2018, accepted on 20 Nov 2018 and first published on 19 Dec 2018


Article type: Communication
DOI: 10.1039/C8MH01169A
Mater. Horiz., 2019,6, 580-586
  • Open access: Creative Commons BY-NC license
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    Pattern recognition of solid materials by multiple probe gases

    K. Minami, G. Imamura, T. Nemoto, K. Shiba and G. Yoshikawa, Mater. Horiz., 2019, 6, 580
    DOI: 10.1039/C8MH01169A

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