Browse > Article
http://dx.doi.org/10.5369/JSST.2019.28.1.7

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)
Publication Information
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
Intelligent Electronic Nose System; Breath Analysis; Lung Cancer; COPD; Diabetes;
Citations & Related Records
연도 인용수 순위
  • Reference
1 T. Mathew, P. Pownraj, S. Abdulla, B. Pullithadathil, "Technologies for clinical diagnosis using expired human breath analysis", Diagnostics Vol. 5, pp. 27-60, 2005.   DOI
2 I. Horvath, J. Hunt, PJ Barnes. "Exhaled breath condensate: methodological recommendations and unresolved questions" Eur. Respir. Vol. 26, pp. 523-548. 2005.   DOI
3 M. Phillips, J. Herrera, S. Krishnan, M. Zain, J. Greenberg, R N. Cataneo, "Variation in volatile organic compounds in the breath of normal humans" Chromatogr. B, Vol. 729, pp. 75-88, 1990
4 T. Minh, D. Blake, and P. Galassetti, "The Clinical Potential of Exhaled Breath Analysis for Diabetes Mellitus" Diabetes Res Clin. Pract. Vol. 97, No.2, pp.195-205, 2012   DOI
5 H. Byun, J. Yu, J. Huh, and J. Lim, "Exhaled breath analysis based on electronic nose techniques applaicable to lung diseases", Hanyang Med. Rev., Vol. 34, pp. 125-129. 2014   DOI
6 F. Cesare, S. Pantalei, E. Zampetti, "Electronic nose and SPME techniques to monitor phenanthrene biodegradation in soil" Sen. Actuators B: Vol. 131, pp. 63-70, 2008   DOI
7 TJ Krizek, MC Robson, "Evolution of quantitative bacteriology in wound management" Am J Surg. Vol. 130, pp. 579-84, 1975   DOI
8 G. Peng, U. Tisch, O. Adams, M. Hakim, N. Shehada, Y. Brozz, "Diagnosing lung cancer in exhaled breath using gold nanoparticles" Nat Nanotechnol. Vol. 4, pp. 669-73, 2009   DOI
9 M. Righettoni, A. Amann, S. Pratsinis, "Breath analysis by nanostructured metal oxides as chemo-resistive gas sensors," Mater. Today, Vol. 18, pp. 163-171, 2015.   DOI
10 A. Thati, A. Biswas, S. R. Chowdhury, T. K. Sau, "Breath acetone-based non-invasive detection of blood glucose levels", Int. J Smart Sens. Intelli. Syst., VOL. 8, NO. 2, 2015