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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
Authors:Carsten Jaeschke  Marta Padilla  Johannes Glckler  Inese Polaka  Martins Leja  Viktors Veliks  Jan Mitrovics  Marcis Leja  Boris Mizaikoff
Institution:1.Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Albert-Einstein-Allee 11, 89081 Ulm, Germany; (C.J.); (J.G.);2.JLM Innovation GmbH, Vor dem Kreuzberg 17, 72070 Tuebingen, Germany; (M.P.); (J.M.);3.Institute of Clinical and Preventive Medicine, University of Latvia, LV-1079 Riga, Latvia; (I.P.); (M.L.); (V.V.); (M.L.)
Abstract: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.
Keywords:breath analysis  MOX sensors  low sensing chamber volume  calibration transfer  standard samples  piecewise direct standardization  correlation alignment  breath sampling  eNose  pattern recognition
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