Discrimination of Apples with Standardized Data from an Electronic Nose

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  • Asakawa Mayuko
    Division of Molecular Cell Biology, Core Research Facilities for Basic Science, The Jikei University School of Medicine
  • Yamanaka Yuta
    Division of Molecular Cell Biology, Core Research Facilities for Basic Science, The Jikei University School of Medicine
  • Fujioka Kouki
    Division of Molecular Cell Biology, Core Research Facilities for Basic Science, The Jikei University School of Medicine
  • Manome Yoshinobu
    Division of Molecular Cell Biology, Core Research Facilities for Basic Science, The Jikei University School of Medicine

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  • 香りセンサの標準化データを用いたリンゴ判別力の検証
  • カオリ センサ ノ ヒョウジュンカ データ オ モチイタ リンゴ ハンベツリョク ノ ケンショウ

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Abstract

<p>This study aims to utilize information of aroma data from sensing technology for virtual reality space. We applied FF-2A sensor for discrimination testing of several fruits' aroma and investigated the discrimination accuracy of the installed sensors. Our results indicated that the aroma of apples can be distinguished from other fruits by analyzing standardized data from specific sensors, and then be divided into two groups by the inclusion of an apple flavor. Our discrimination system may be useful to share the aroma information with remote location in future.</p>

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