Point‐of‐care breath sample analysis by semiconductor‐based E‐Nose technology discriminates non‐infected subjects from SARS‐CoV‐2 pneumonia patients: a multi‐analyst experiment

Point‐of‐care breath sample analysis by semiconductor‐based E‐Nose technology discriminates non‐infected subjects from SARS‐CoV‐2 pneumonia patients: a multi‐analyst experiment

Abstract Metal oxide sensor‐based electronic nose (E‐Nose) technology provides an easy to use method for breath analysis by detection of volatile organic compound (VOC)‐induced changes of electrical conductivity. Resulting signal patterns are then analyzed by machine learning (ML) algorithms. This s...

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Bibliographic Details
Main Authors: Tobias Woehrle, Florian Pfeiffer, Maximilian M. Mandl, Wolfgang Sobtzick, Jörg Heitzer, Alisa Krstova, Luzie Kamm, Matthias Feuerecker, Dominique Moser, Matthias Klein, Benedikt Aulinger, Michael Dolch, Anne‐Laure Boulesteix, Daniel Lanz, Alexander Choukér
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:MedComm
Subjects:
breath gas
COVID‐19
E‐Nose
machine learning
mass spectrometry
metal oxide sensor
Online Access:https://doi.org/10.1002/mco2.726
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https://doi.org/10.1002/mco2.726

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