Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Intelligent Electronic Nose System for Detection of VOCs in Exhaled Breath

  • Byun, Hyung-Gi (Division of Electronis, Information & Communication Eng., Kangwon National Unversity) ;
  • Yu, Joon-Bu (Division of Electronis, Information & Communication Eng., Kangwon National Unversity)
  • Received : 2019.01.20
  • Accepted : 2019.01.30
  • Published : 2019.01.31
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Abstract

Significant progress has been made recently in detection of highly sensitive volatile organic compounds (VOCs) using chemical sensors. Combined with the progress in design of micro sensors array and electronic nose systems, these advances enable new applications for detection of extremely low concentrations of breath-related VOCs. State of the art detection technology in turn enables commercial sensor systems for health care applications, with high detection sensitivity and small size, weight and power consumption characteristics. We have been developing an intelligent electronic nose system for detection of VOCs for healthcare breath analysis applications. This paper reviews our contribution to monitoring of respiratory diseases and to diabetic monitoring using an intelligent electronic nose system for detection of low concentration VOCs using breath analysis techniques.

Keywords

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Fig. 1. Chamber with array of chemical sensors

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Fig. 2. Intelligent electronic nose system with the SPME fiber tray for real-time screening of lung disease

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Fig. 3. Target VOCs discrimination results for validation of system functioning

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Fig. 4. Primary classification result for lung cancer and COPD patients and healthy controls using multi-dimensional data processing methods

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Fig. 5. Sensors array for breath analysis in diabetes screening applications

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Fig. 6. The SPME delivery system

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Fig. 7. Intelligent electronic nose system with SPME fiber tray for real-time diabetes monitoring.

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Fig. 8. Response of the sensor array to (a) 2.5 ppm of ethanol, (b) 2 ppm of acetone, (c) 1 ppm of toluene and (d) 1 ppm of nitro monoxide

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Fig. 9. PCA analysis of sensor responses to exhaled breath for diabetic and normal subjects

Table 1. Clinical data pertaining to the study participants

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