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Solid-Phase Microextraction (SPME) and Gas Chromatographic/Mass Spectrometry in Chronic Obstructive Pulmonary Disease (COPD): A Chemometric Approach

Authors :
Loukia Lypirou
Christos Chronis
Konstantinos Exarchos
Konstantinos Kostikas
Vasilios Sakkas
Source :
Chemosensors, Vol 11, Iss 10, p 542 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is a chronic respiratory condition that often goes undiagnosed despite the availability of spirometry for diagnosis, and its exact prevalence remains uncertain. Exhaled breath has been proposed as a source of relevant health information, particularly Volatile Organic Compounds (VOCs), which can be easily obtained and applied in clinical practice. In this study, exhaled breath samples were collected from patients diagnosed with COPD of varying severity during their stable condition using specialized RTubeVOC tubes. Volatile compounds from the air samples were extracted using a 50/30 µm divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/PDMS) fiber and the analysis was performed using gas chromatography/mass spectrometry (GC/MS) technique. The patients were divided into two groups based on their history of exacerbations, and the aim was to identify VOCs associated with the risk of future COPD exacerbation, thus allowing for more personalized and objective COPD treatment. Blood eosinophil content was also taken into consideration. A panel of distinguishing mass-spectral features was identified between the two patient groups. The discriminating exhaled molecules were heptane 2,2,4,6,6-pentamethyl, gamma-terpinene, 2-ethylhexanol, and undecane demonstrating the potential of analyzing VOCs in exhaled breath for the detection and management of COPD, offering a promising avenue to improve COPD management and treatment approaches.

Details

Language :
English
ISSN :
22279040
Volume :
11
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Chemosensors
Publication Type :
Academic Journal
Accession number :
edsdoj.14752dff13ed4eaa9a754ce22c946ab5
Document Type :
article
Full Text :
https://doi.org/10.3390/chemosensors11100542