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Application of the Electronic Nose Technique to Differentiation between Model Mixtures with COPD Markers

Abstract

ABSTRACT The paper presents the potential of an electronic nose technique in the field of fast diagnostics of patients suspected of Chronic Obstructive Pulmonary Disease (COPD). The investigations were performed using a simple electronic nose prototype equipped with a set of six semiconductor sensors manufactured by FIGARO Co. They were aimed at verification of a possibility of differentiation between model reference mixtures with potential COPD markers (N,N-dimethylformamide and N,N-dimethylacetamide). These mixtures contained volatile organic compounds (VOCs) such as acetone, isoprene, carbon disulphide, propan-2-ol, formamide, benzene, toluene, acetonitrile, acetic acid, dimethyl ether, dimethyl sulphide, acrolein, furan, propanol and pyridine, recognized as the components of exhaled air. The model reference mixtures were prepared at three concentration levels--10 ppb, 25 ppb, 50 ppb v/v--of each component, except for the COPD markers. Concentration of the COPD markers in the mixtures was from 0 ppb to 100 ppb v/v. Interpretation of the obtained data employed principal component analysis (PCA). The investigations revealed the usefulness of the electronic device only in the case when the concentration of the COPD markers was twice as high as the concentration of the remaining components of the mixture and for a limited number of basic mixture components.

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Category:
Articles
Type:
artykuł w czasopiśmie wyróżnionym w JCR
Published in:
SENSORS no. 13, edition 4, pages 5008 - 5027,
ISSN: 1424-8220
Language:
English
Publication year:
2013
Bibliographic description:
Dymerski T., Gębicki J., Wiśniewska P., Śliwińska M., Wardencki W., Namieśnik J.: Application of the Electronic Nose Technique to Differentiation between Model Mixtures with COPD Markers// SENSORS. -Vol. 13, iss. 4 (2013), s.5008-5027
DOI:
Digital Object Identifier (open in new tab) 10.3390/s130405008
Sources of funding:
  • Free publication
Verified by:
Gdańsk University of Technology

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