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RDF description of Ultrafast gas chromatography coupled to electronic nose to identify volatile biomarkers in exhaled breath from chronic obstructive pulmonary disease patients: A pilot study - http://orbis.uaslp.mx/vivo/individual/scopus6028
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An analytical method to identify volatile organic compounds (VOCs) in the exhaled breath from patients with a diagnosis of chronic obstructive pulmonary disease (COPD) using a ultrafast gas chromatography system equipped with an electronic nose detector (FGC eNose) has been developed. A prospective study was performed in 23 COPD patients and 33 healthy volunteers; exhalation breathing tests were performed with Tedlar bags. Each sample was analyzed by FCG eNose and the identification of VOCs was based on the Kovats index. Raw data were reduced by principal component analysis (PCA) and canonical discriminant analysis [canonical analysis of principal coordinates (CAP)]. The FCG eNose technology was able to identify 17 VOCs that distinguish COPD patients from healthy volunteers. At all stages of PCA and CAP the discrimination between groups was obvious. Chemical prints were correctly classified up to 82.2%25, and were matched with 78.9%25 of the VOCs detected in the exhaled breath samples. Receiver operating characteristic curve analysis indicated the sensitivity and specificity to be 96%25 and 91%25, respectively. This pilot study demonstrates that FGC eNose is a useful tool to identify VOCs as biomarkers in exhaled breath from COPD patients. Further studies should be performed to enhance the clinical relevance of this quick and ease methodology for COPD diagnosis. © 2019 John Wiley %26 Sons, Ltd.
An analytical method to identify volatile organic compounds (VOCs) in the exhaled breath from patients with a diagnosis of chronic obstructive pulmonary disease (COPD) using a ultrafast gas chromatography system equipped with an electronic nose detector (FGC eNose) has been developed. A prospective study was performed in 23 COPD patients and 33 healthy volunteers; exhalation breathing tests were performed with Tedlar bags. Each sample was analyzed by FCG eNose and the identification of VOCs was based on the Kovats index. Raw data were reduced by principal component analysis (PCA) and canonical discriminant analysis [canonical analysis of principal coordinates (CAP)]. The FCG eNose technology was able to identify 17 VOCs that distinguish COPD patients from healthy volunteers. At all stages of PCA and CAP the discrimination between groups was obvious. Chemical prints were correctly classified up to 82.2%25, and were matched with 78.9%25 of the VOCs detected in the exhaled breath samples. Receiver operating characteristic curve analysis indicated the sensitivity and specificity to be 96%25 and 91%25, respectively. This pilot study demonstrates that FGC eNose is a useful tool to identify VOCs as biomarkers in exhaled breath from COPD patients. Further studies should be performed to enhance the clinical relevance of this quick and ease methodology for COPD diagnosis. © 2019 John Wiley & Sons, Ltd.
COPD; electronic nose; exhaled breath; gas chromatography; multivariate analysis; volatile organic compounds 2 acetylpyridine; 2 butyloctanol; 2 methyl butanoic acid; 2 propanol; 3 hexanone; 3 methyl propanal; acetaldehyde; acrolein; alcohol derivative; aldehyde derivative; alpha pyrene; biological marker; butyraldehyde; cinnamaldehyde; cyclopentanone derivative; delta dodecalactone; hydrocarbon; indole; isobutyric acid; ketone derivative; methyl isobutyrate; octane; propionaldehyde; pyrene derivative; styrene; tetradecane; trimethylamine; unclassified drug; unindexed drug; vinylpyrazine; volatile organic compound; biological marker; volatile organic compound; adult; aged; Article; chronic obstructive lung disease; clinical article; controlled study; exhalation; female; forced expiratory volume; forced vital capacity; gas chromatography; human; lung function test; male; observational study; pilot study; predictive value; prospective study; receiver operating characteristic; sensitivity and specificity; spirometry; ultrafast gas chromatography; breath analysis; electronic nose; gas chromatography; metabolism; middle aged; procedures; reproducibility; Aged; Biomarkers; Breath Tests; Chromatography, Gas; Electronic Nose; Female; Humans; Male; Middle Aged; Pilot Projects; Pulmonary Disease, Chronic Obstructive; Reproducibility of Results; ROC Curve; Volatile Organic Compounds
Ultrafast gas chromatography coupled to electronic nose to identify volatile biomarkers in exhaled breath from chronic obstructive pulmonary disease patients: A pilot study
2 propanol, 67-63-0; acetaldehyde, 75-07-0; acrolein, 107-02-8; butyraldehyde, 123-72-8; cinnamaldehyde, 104-55-2; indole, 120-72-9; isobutyric acid, 5711-69-3, 79-31-2; octane, 111-65-9; propionaldehyde, 123-38-6; styrene, 100-42-5; tetradecane, 629-59-4; trimethylamine, 75-50-3; Biomarkers; Volatile Organic Compounds