| Title: | Breath analysis using electronic nose and gas chromatography-mass spectrometry: A pilot study on bronchial infections in bronchiectasis |
| Author(s): | Oliveira LF; Mallafre-Muro C; Giner J; Perea L; Sibila O; Pardo A; Marco S; |
| Address: | "Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Baldiri Reixac 10-12, 08028, Barcelona, Spain. Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Baldiri Reixac 10-12, 08028, Barcelona, Spain; Department of Electronics and Biomedical Engineering, University of Barcelona, Marti I Franques 1, 08028 Barcelona, Spain. Department of Pneumology and Allergy. Hospital de la Sta. Creu I Sant Pau. Barcelona, Spain. Respiratory Department, Hospital Clinic, IDIBAPS, Barcelona, Spain. Department of Electronics and Biomedical Engineering, University of Barcelona, Marti I Franques 1, 08028 Barcelona, Spain. Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Baldiri Reixac 10-12, 08028, Barcelona, Spain; Department of Electronics and Biomedical Engineering, University of Barcelona, Marti I Franques 1, 08028 Barcelona, Spain. Electronic address: smarco@ibecbarcelona.eu" |
| DOI: | 10.1016/j.cca.2021.12.019 |
| ISSN/ISBN: | 1873-3492 (Electronic) 0009-8981 (Linking) |
| Abstract: | "BACKGROUND AND AIMS: In this work, breath samples from clinically stable bronchiectasis patients with and without bronchial infections by Pseudomonas Aeruginosa- PA) were collected and chemically analysed to determine if they have clinical value in the monitoring of these patients. MATERIALS AND METHODS: A cohort was recruited inviting bronchiectasis patients (25) and controls (9). Among the former group, 12 members were suffering PA infection. Breath samples were collected in Tedlar bags and analyzed by e-nose and Gas Chromatography-Mass Spectrometry (GC-MS). The obtained data were analyzed by chemometric methods to determine their discriminant power in regards to their health condition. Results were evaluated with blind samples. RESULTS: Breath analysis by electronic nose successfully separated the three groups with an overall classification rate of 84% for the three-class classification problem. The best discrimination was obtained between control and bronchiectasis with PA infection samples 100% (CI(95%): 84-100%) on external validation and the results were confirmed by permutation tests. The discrimination analysis by GC-MS provided good results but did not reach proper statistical significance after a permutation test. CONCLUSIONS: Breath sample analysis by electronic nose followed by proper predictive models successfully differentiated between control, Bronchiectasis and Bronchiectasis PA samples" |
| Keywords: | Breath Tests *Bronchiectasis/diagnosis Electronic Nose Gas Chromatography-Mass Spectrometry Humans Pilot Projects *Volatile Organic Compounds Breath analysis Bronchiectasis E-nose Gc-ms Signal processing; |
| Notes: | "MedlineOliveira, Luciana Fontes de Mallafre-Muro, Celia Giner, Jordi Perea, Lidia Sibila, Oriol Pardo, Antonio Marco, Santiago eng Netherlands 2021/12/27 Clin Chim Acta. 2022 Feb 1; 526:6-13. doi: 10.1016/j.cca.2021.12.019. Epub 2021 Dec 23" |
