Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractDynamic profiles of volatile organic compounds in exhaled breath as determined by a coupled PTR-MS/GC-MS study    Next AbstractMeasurement of endogenous acetone and isoprene in exhaled breath during sleep »

J Math Biol


Title:A mathematical model for breath gas analysis of volatile organic compounds with special emphasis on acetone
Author(s):King J; Unterkofler K; Teschl G; Teschl S; Koc H; Hinterhuber H; Amann A;
Address:"Breath Research Institute, Austrian Academy of Sciences, Dornbirn. julian.king@oeaw.ac.at"
Journal Title:J Math Biol
Year:2011
Volume:20110114
Issue:5
Page Number:959 - 999
DOI: 10.1007/s00285-010-0398-9
ISSN/ISBN:1432-1416 (Electronic) 0303-6812 (Linking)
Abstract:"Recommended standardized procedures for determining exhaled lower respiratory nitric oxide and nasal nitric oxide (NO) have been developed by task forces of the European Respiratory Society and the American Thoracic Society. These recommendations have paved the way for the measurement of nitric oxide to become a diagnostic tool for specific clinical applications. It would be desirable to develop similar guidelines for the sampling of other trace gases in exhaled breath, especially volatile organic compounds (VOCs) which may reflect ongoing metabolism. The concentrations of water-soluble, blood-borne substances in exhaled breath are influenced by: (i) breathing patterns affecting gas exchange in the conducting airways, (ii) the concentrations in the tracheo-bronchial lining fluid, (iii) the alveolar and systemic concentrations of the compound. The classical Farhi equation takes only the alveolar concentrations into account. Real-time measurements of acetone in end-tidal breath under an ergometer challenge show characteristics which cannot be explained within the Farhi setting. Here we develop a compartment model that reliably captures these profiles and is capable of relating breath to the systemic concentrations of acetone. By comparison with experimental data it is inferred that the major part of variability in breath acetone concentrations (e.g., in response to moderate exercise or altered breathing patterns) can be attributed to airway gas exchange, with minimal changes of the underlying blood and tissue concentrations. Moreover, the model illuminates the discrepancies between observed and theoretically predicted blood-breath ratios of acetone during resting conditions, i.e., in steady state. Particularly, the current formulation includes the classical Farhi and the Scheid series inhomogeneity model as special limiting cases and thus is expected to have general relevance for a wider range of blood-borne inert gases. The chief intention of the present modeling study is to provide mechanistic relationships for further investigating the exhalation kinetics of acetone and other water-soluble species. This quantitative approach is a first step towards new guidelines for breath gas analyses of volatile organic compounds, similar to those for nitric oxide"
Keywords:"Acetone/*analysis/pharmacokinetics Breath Tests/*methods Humans Male *Models, Biological Volatile Organic Compounds/*analysis;"
Notes:"MedlineKing, Julian Unterkofler, Karl Teschl, Gerald Teschl, Susanne Koc, Helin Hinterhuber, Hartmann Amann, Anton eng Germany 2011/01/15 J Math Biol. 2011 Nov; 63(5):959-99. doi: 10.1007/s00285-010-0398-9. Epub 2011 Jan 14"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 26-12-2024