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http://hdl.handle.net/2445/182995
Title: | Breath analysis using electronic nose and gas chromatography-mass spectrometry: A pilot study on bronchial infections in bronchiectasis |
Author: | Fontes de Oliveira, Luciana Mallafré Muro, Celia Giner, Jordi Perea, Lídia Sibila Vidal, Oriol Pardo Martínez, Antonio Marco Colás, Santiago |
Keywords: | Malalties bronquials Proves funcionals respiratòries Bronchial diseases Respiratory function tests |
Issue Date: | 1-Feb-2022 |
Publisher: | Elsevier B.V. |
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% (CI95%: 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. |
Note: | Reproducció del document publicat a: https://doi.org/10.1016/j.cca.2021.12.019 |
It is part of: | Clinica Chimica Acta, 2022, vol. 526, p. 6-13 |
URI: | http://hdl.handle.net/2445/182995 |
Related resource: | https://doi.org/10.1016/j.cca.2021.12.019 |
ISSN: | 0009-8981 |
Appears in Collections: | Articles publicats en revistes (Enginyeria Electrònica i Biomèdica) Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC)) |
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