Literature DB >> 21383430

Volatile metabolites in the exhaled breath of healthy volunteers: their levels and distributions.

David Smith1, Claire Turner, Patrik Spaněl.   

Abstract

The data obtained for the concentration distributions of the most abundant volatile metabolites in exhaled breath determined in two independent studies are reviewed, the first limited study involving five healthy volunteers providing daily breath samples over a month, and the subsequent study involving 30 healthy volunteers providing breath samples weekly over six months. Both studies were carried out using selected ion flow tube mass spectrometry, SIFT-MS, to obtain on-line, real-time analyses of single breath exhalations, avoiding the complications associated with sample collection. The distributions of the metabolites from the larger more comprehensive study are mostly seen to be log normal with the median values (in parts per billion, ppb) being ammonia (833), acetone (477), methanol (461), ethanol (112), propanol (18), acetaldehyde (22), isoprene (106) with the geometric standard deviation being typically 1.6, except for ethanol which was larger (3.24) due to the obvious increase of breath ethanol following the ingestion of sugar. These were the first well-defined concentration distributions of breath metabolites obtained and they are the essential requirement for recognizing abnormally high levels that are associated with particular diseases. The associations of each metabolite with known diseased states are alluded to. These SIFT-MS studies reveal the promise of breath analysis as a valuable addition to the tools for clinical diagnosis and therapeutic monitoring.

Entities:  

Year:  2007        PMID: 21383430     DOI: 10.1088/1752-7155/1/1/014004

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


  9 in total

1.  Repeatability of the measurement of exhaled volatile metabolites using selected ion flow tube mass spectrometry.

Authors:  Piers R Boshier; Nandor Marczin; George B Hanna
Journal:  J Am Soc Mass Spectrom       Date:  2010-02-10       Impact factor: 3.109

2.  Orthogonal gas sensor arrays by chemoresistive material design.

Authors:  Nicolay J Pineau; Julia F Kompalla; Andreas T Güntner; Sotiris E Pratsinis
Journal:  Mikrochim Acta       Date:  2018-11-28       Impact factor: 5.833

3.  Halitosis: a new definition and classification.

Authors:  M Aydin; C N Harvey-Woodworth
Journal:  Br Dent J       Date:  2014-07-11       Impact factor: 1.626

4.  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

5.  Breath analysis in disease diagnosis: methodological considerations and applications.

Authors:  Célia Lourenço; Claire Turner
Journal:  Metabolites       Date:  2014-06-20

Review 6.  Advances in electronic-nose technologies for the detection of volatile biomarker metabolites in the human breath.

Authors:  Alphus D Wilson
Journal:  Metabolites       Date:  2015-03-02

7.  Breath Analysis: Comparison among Methodological Approaches for Breath Sampling.

Authors:  Alessia Di Gilio; Jolanda Palmisani; Gianrocco Ventrella; Laura Facchini; Annamaria Catino; Niccolò Varesano; Pamela Pizzutilo; Domenico Galetta; Massimo Borelli; Pierluigi Barbieri; Sabina Licen; Gianluigi de Gennaro
Journal:  Molecules       Date:  2020-12-10       Impact factor: 4.411

8.  Effects of dietary nutrients on volatile breath metabolites.

Authors:  Olawunmi A Ajibola; David Smith; Patrik Spaněl; Gordon A A Ferns
Journal:  J Nutr Sci       Date:  2013-10-31

9.  Pancreatic ductal adenocarcinoma can be detected by analysis of volatile organic compounds (VOCs) in alveolar air.

Authors:  Andrea Princivalle; Lorenzo Monasta; Giovanni Butturini; Claudio Bassi; Luigi Perbellini
Journal:  BMC Cancer       Date:  2018-05-04       Impact factor: 4.430

  9 in total

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