• DocumentCode
    1579360
  • Title

    Breath monitoring based on the optical electronic nose system

  • Author

    Eambaipreuk, A. ; Kladsomboon, S. ; Kerdcharoen, T.

  • Author_Institution
    Dept. of Phys., Mahidol Univ., Bangkok, Thailand
  • fYear
    2012
  • Firstpage
    63
  • Lastpage
    66
  • Abstract
    The identification of volatile organic compounds (VOCs) presented in exhaled human breath can provide direct evidence of the health status of patients. Electronic nose (e-nose) has been known as an efficient technique for odor classification of numerous products, living and non-living objects and environment. In this work, an optical e-nose system that consists of organic thin film gas sensor and optical detection system was investigated on its potential for biomedical applications. The gas sensor was prepared based on metal-porphyrin compounds that are the optically active to various basic VOC. In addition, low-cost light emitting diodes (LEDs) array and a CMOS photo-detector were integrated to analyze the color change in the sensing material. The sensing materials were tested with various common VOCs, for examples, alcohols, acetone, ammonia and water. Pattern recognition, namely principal component analysis (PCA), clearly distinguished the different concentration of ammonia vapor, and discriminated ammonia from acetone vapor. Moreover, optical e-nose successfully detected the change of exhaled breath such as before and after eating. Consequently, this system is expected to be further developed as a breath monitoring system.
  • Keywords
    biomedical engineering; biomedical measurement; electronic noses; light emitting diodes; optical sensors; organic compounds; pattern recognition; photodetectors; principal component analysis; spectrochemical analysis; CMOS photodetector; PCA; VOC; acetone vapor; ammonia vapor; breath monitoring; gas sensor; light emitting diodes; metal-porphyrin compounds; odor classification; optical e-nose system; optical electronic nose system; organic thin film gas sensor; pattern recognition; principal component analysis; volatile organic compounds; Biomedical optical imaging; Gas detectors; Humans; Light emitting diodes; Optical films; Optical sensors; breath monitoring; optical e-nose; organic gas sensor; porphyrin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering International Conference (BMEiCON), 2011
  • Conference_Location
    Chiang Mai
  • Print_ISBN
    978-1-4577-2189-2
  • Type

    conf

  • DOI
    10.1109/BMEiCon.2012.6172019
  • Filename
    6172019