Literature DB >> 10455242

Quantification of breath isoprene using the selected ion flow tube mass spectrometric analytical method.

P Spanel1, S Davies, D Smith.   

Abstract

We have used our selected ion flow tube mass spectrometric method (SIFT-MS) to study isoprene levels in the alveolar breath of 29 healthy volunteers during normal working hours at the varying states of nutrition occurring during this period. Quantification of the breath isoprene was achieved using O(2)(+) precursor ions to avoid complications which can arise when using H(3)O(+) precursor ions for isoprene analysis. The present data indicate that the spread of the alveolar isoprene levels in this sample of healthy individuals is 22 to 234 ppb and that the mean value is 83 ppb with a standard deviation of 45 ppb. These levels are compared with those previously determined using other techniques and are seen to be at the low end of the values previously reported. The present studies are a prelude to an investigation of the proposed correlation of breath isoprene levels with psychological, physical and biochemical stress. Copyright 1999 John Wiley & Sons, Ltd.

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Year:  1999        PMID: 10455242     DOI: 10.1002/(SICI)1097-0231(19990915)13:17<1733::AID-RCM707>3.0.CO;2-S

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  4 in total

1.  Quantitative selected ion flow tube mass spectrometry: the influence of ionic diffusion and mass discrimination.

Authors:  P Spanel; D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2001-07       Impact factor: 3.109

Review 2.  Advances in electronic-nose technologies developed for biomedical applications.

Authors:  Alphus D Wilson; Manuela Baietto
Journal:  Sensors (Basel)       Date:  2011-01-19       Impact factor: 3.576

Review 3.  Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview.

Authors:  Jorge Pereira; Priscilla Porto-Figueira; Carina Cavaco; Khushman Taunk; Srikanth Rapole; Rahul Dhakne; Hampapathalu Nagarajaram; José S Câmara
Journal:  Metabolites       Date:  2015-01-09

4.  Indium Nitrite (InN)-Based Ultrasensitive and Selective Ammonia Sensor Using an External Silicone Oil Filter for Medical Application.

Authors:  Sujeet Kumar Rai; Kun-Wei Kao; Shanjgr Gwo; Ashish Agarwal; Wei Da Lin; J Andrew Yeh
Journal:  Sensors (Basel)       Date:  2018-11-11       Impact factor: 3.576

  4 in total

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