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Sensors (Basel)


Title:Application of the electronic nose technique to differentiation between model mixtures with COPD markers
Author(s):Dymerski T; Gebicki J; Wisniewska P; Sliwinska M; Wardencki W; Namiesnik J;
Address:"Department of Analytical Chemistry, Chemical Faculty, Gdansk University of Technology, 11/12 G. Narutowicza Str., 80-233 Gdansk, Poland. tomasz.dymerski@gmail.com"
Journal Title:Sensors (Basel)
Year:2013
Volume:20130415
Issue:4
Page Number:5008 - 5027
DOI: 10.3390/s130405008
ISSN/ISBN:1424-8220 (Electronic) 1424-8220 (Linking)
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"
Keywords:"Biomarkers/*analysis *Electronic Nose Gases/analysis Humans Principal Component Analysis Pulmonary Disease, Chronic Obstructive/*diagnosis Reference Standards Signal Processing, Computer-Assisted Volatilization;"
Notes:"MedlineDymerski, Tomasz Gebicki, Jacek Wisniewska, Paulina Sliwinska, Magdalena Wardencki, Waldemar Namiesnik, Jacek eng Research Support, Non-U.S. Gov't Switzerland 2013/04/18 Sensors (Basel). 2013 Apr 15; 13(4):5008-27. doi: 10.3390/s130405008"

 
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