Literature DB >> 21383457

Determining concentration patterns of volatile compounds in exhaled breath by PTR-MS.

K Schwarz1, W Filipiak, A Amann.   

Abstract

Proton-transfer-reaction mass spectrometry (PTR-MS) is a convenient technique for fast analysis of exhaled breath without prior sample preparation. Since compounds are not separated prior to analysis as in gas chromatography mass spectrometry (GC-MS), and since protonated molecules may fragment, relatively complex spectra may arise, which are not easily interpreted in a quantitative way. We calibrated 21 different compounds of importance for exhaled breath analysis, based on the respective pure standards diluted with nitrogen. These calibration measurements included determination of the fragmentation pattern of each compound under dry conditions and in the absence of CO(2). Even though the fragmentation pattern may be predicted in a qualitative manner, the quantitative details may depend on water and CO(2) content. This is exemplarily shown for isoprene. Out of the selected 21 compounds, 11 compounds showed substantial fragmentation (fragments proportion > 10%). Fragmentation of several volatile organic compounds (VOCs) in the drift tube of PTR-MS has been previously observed (Buhr et al 2002 Int. J. Mass Spectrom. 221 1-7; Taipale et al 2008 Atmos. Chem. Phys. Discuss. 8 9435-75; Hewitt et al 2003 J. Environ. Monit. 51-7; Warneke et al 2003 Environ. Sci. Technol. 37 2494-501; de Gouw and Warneke 2007 Mass Spectrom. Rev. 26 223-57; Pozo-Bayon et al 2008 J. Agric. Food Chem. 56 5278-84) and calibration factors for several compounds at corresponding mass-to-charge ratios have been calculated. In this paper, besides the calibration factors, the proportions of substantial fragments are also taken into account for a correct quantification in the case of overlapping signals. The spectrum of a mixture of the considered 21 compounds may be simulated. Conversely, the determination of concentrations from the spectrum of such a mixture is a linear optimization problem, whose solution is determined here using the simplex algorithm.

Entities:  

Year:  2009        PMID: 21383457     DOI: 10.1088/1752-7155/3/2/027002

Source DB:  PubMed          Journal:  J Breath Res        ISSN: 1752-7155            Impact factor:   3.262


  26 in total

1.  Human breath gas analysis in the screening of gestational diabetes mellitus.

Authors:  Susanne Halbritter; Mattia Fedrigo; Vera Höllriegl; Wilfried Szymczak; Joerg M Maier; Anette-Gabriele Ziegler; Michael Hummel
Journal:  Diabetes Technol Ther       Date:  2012-07-09       Impact factor: 6.118

2.  A mathematical model for breath gas analysis of volatile organic compounds with special emphasis on acetone.

Authors:  Julian King; Karl Unterkofler; Gerald Teschl; Susanne Teschl; Helin Koc; Hartmann Hinterhuber; Anton Amann
Journal:  J Math Biol       Date:  2011-01-14       Impact factor: 2.259

3.  Dependence of exhaled breath composition on exogenous factors, smoking habits and exposure to air pollutants.

Authors:  W Filipiak; V Ruzsanyi; P Mochalski; A Filipiak; A Bajtarevic; C Ager; H Denz; W Hilbe; H Jamnig; M Hackl; A Dzien; A Amann
Journal:  J Breath Res       Date:  2012-09       Impact factor: 3.262

4.  Emission characteristics of air pollutants from incense and candle burning in indoor atmospheres.

Authors:  A Manoukian; E Quivet; B Temime-Roussel; M Nicolas; F Maupetit; H Wortham
Journal:  Environ Sci Pollut Res Int       Date:  2013-01-04       Impact factor: 4.223

5.  Novel Zinc(II) Bis(Dipyrromethenate)-Doped Ethyl Cellulose Sensors for Acetone Vapor Fluorescence Detection.

Authors:  Alexander A Ksenofontov; Galina B Guseva; Svetlana A Stupikova; Elena V Antina
Journal:  J Fluoresc       Date:  2018-04-23       Impact factor: 2.217

6.  Stability of selected volatile breath constituents in Tedlar, Kynar and Flexfilm sampling bags.

Authors:  Paweł Mochalski; Julian King; Karl Unterkofler; Anton Amann
Journal:  Analyst       Date:  2013-03-07       Impact factor: 4.616

7.  Noninvasive detection of lung cancer by analysis of exhaled breath.

Authors:  Amel Bajtarevic; Clemens Ager; Martin Pienz; Martin Klieber; Konrad Schwarz; Magdalena Ligor; Tomasz Ligor; Wojciech Filipiak; Hubert Denz; Michael Fiegl; Wolfgang Hilbe; Wolfgang Weiss; Peter Lukas; Herbert Jamnig; Martin Hackl; Alfred Haidenberger; Bogusław Buszewski; Wolfram Miekisch; Jochen Schubert; Anton Amann
Journal:  BMC Cancer       Date:  2009-09-29       Impact factor: 4.430

8.  Online breath gas analysis in unrestrained mice by hs-PTR-MS.

Authors:  Wilfried Szymczak; Jan Rozman; Vera Höllriegl; Martin Kistler; Stefan Keller; Dominika Peters; Moritz Kneipp; Holger Schulz; Christoph Hoeschen; Martin Klingenspor; Martin Hrabě de Angelis
Journal:  Mamm Genome       Date:  2013-11-26       Impact factor: 2.957

9.  Breath acetone monitoring by portable Si:WO3 gas sensors.

Authors:  Marco Righettoni; Antonio Tricoli; Samuel Gass; Alex Schmid; Anton Amann; Sotiris E Pratsinis
Journal:  Anal Chim Acta       Date:  2012-06-12       Impact factor: 6.558

Review 10.  Assessment, origin, and implementation of breath volatile cancer markers.

Authors:  Hossam Haick; Yoav Y Broza; Pawel Mochalski; Vera Ruzsanyi; Anton Amann
Journal:  Chem Soc Rev       Date:  2013-12-04       Impact factor: 54.564

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