Differentiation of vapor mixture with chemical sensor arrays

  • Chulki Kim
  • , Youngmo Jung
  • , Hi Gyu Moon
  • , Ji Eun Lee
  • , Bum Ju Shin
  • , Chaehyun Lim
  • , Jaebin Choi
  • , Minah Seo
  • , Jae Hun Kim
  • , Seong Chan Jun
  • , Sang Kyung Kim
  • , Chong-Yun Kang
  • , Taikjin Lee
  • , Seok Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Arrays of partially selective chemical sensors have been the focus of extensive research over the past decades because of their potential for widespread application in ambient air monitoring, health and safety, and biomedical diagnostics. Especially, vapor sensor arrays based on functionalized nanomaterials have shown great promise with their high sensitivity by dimensionality and outstanding electronic properties. Here, we introduce experiments where individual vapors and mixtures of them are examined by different chemical sensor arrays. The collected data from those sensor arrays are further analyzed by a principal component analysis (PCA) and targeted vapors are recognized based on prepared database.

    Original languageEnglish
    Title of host publicationFifth Asia-Pacific Optical Sensors Conference, APOS 2015
    EditorsByoungho Lee, Yunjiang Rao, Sang Bae Lee
    PublisherSPIE
    ISBN (Electronic)9781628418651
    DOIs
    Publication statusPublished - 2015
    Event5th Asia-Pacific Optical Sensors Conference, APOS 2015 - Jeju, Korea, Republic of
    Duration: 2015 May 202015 May 22

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume9655
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Other

    Other5th Asia-Pacific Optical Sensors Conference, APOS 2015
    Country/TerritoryKorea, Republic of
    CityJeju
    Period15/5/2015/5/22

    Bibliographical note

    Publisher Copyright:
    © 2015 Copyright SPIE.

    Keywords

    • PCA
    • Sensor array
    • vapor mixture

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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