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RESEARCH PRODUCT

Modular Breath Analyzer (MBA): Introduction of a Breath Analyzer Platform Based on an Innovative and Unique, Modular eNose Concept for Breath Diagnostics and Utilization of Calibration Transfer Methods in Breath Analysis Studies

Inese PolakaCarsten JaeschkeJan MitrovicsMarta PadillaBoris MizaikoffMartins LejaMarcis LejaViktors VeliksJohannes Glöckler

subject

calibration transferComputer scienceRespiratory SystemPharmaceutical ScienceOrganic chemistrycorrelation alignment01 natural scienceseNoseAnalytical Chemistry0302 clinical medicineQD241-441DDC 570 / Life sciencesDrug Discoverybreath analysisSensortechnikdigestive oral and skin physiologyAtemgasanalyseMischoxideExhalationChemistry (miscellaneous)piecewise direct standardization030220 oncology & carcinogenesisElektronische NaseCalibrationMolecular MedicineMOX sensorsSpectrum analyzerAdolescentlow sensing chamber volumeReal-time computingstandard samplesbreath samplingArticleElectronic nose03 medical and health sciencesddc:570Breath testsCalibrationHumansddc:610Physical and Theoretical ChemistryReproducibilitybusiness.industry010401 analytical chemistryBreath samplingpattern recognitionBreath diagnosticsAtemluftModular design0104 chemical sciencesBreath analyzerBreath gas analysisbusinessBiosensing techniquesDDC 610 / Medicine & healthBiomarkers

description

Exhaled breath analysis for early disease detection may provide a convenient method for painless and non-invasive diagnosis. In this work, a novel, compact and easy-to-use breath analyzer platform with a modular sensing chamber and direct breath sampling unit is presented. The developed analyzer system comprises a compact, low volume, temperature-controlled sensing chamber in three modules that can host any type of resistive gas sensor arrays. Furthermore, in this study three modular breath analyzers are explicitly tested for reproducibility in a real-life breath analysis experiment with several calibration transfer (CT) techniques using transfer samples from the experiment. The experiment consists of classifying breath samples from 15 subjects before and after eating a specific meal using three instruments. We investigate the possibility to transfer calibration models across instruments using transfer samples from the experiment under study, since representative samples of human breath at some conditions are difficult to simulate in a laboratory. For example, exhaled breath from subjects suffering from a disease for which the biomarkers are mostly unknown. Results show that many transfer samples of all the classes under study (in our case meal/no meal) are needed, although some CT methods present reasonably good results with only one class.

10.3390/molecules26123776http://dx.doi.org/10.3390/molecules26123776