Literature DB >> 25190582

The use of a portable breath analysis device in monitoring type 1 diabetes patients in a hypoglycaemic clamp: validation with SIFT-MS data.

C Walton1, M Patel, D Pitts, P Knight, S Hoashi, M Evans, C Turner.   

Abstract

Monitoring blood glucose concentrations is a necessary but tedious task for people suffering from diabetes. It has been noted that breath in people suffering with diabetes has a different odour and thus it may be possible to use breath analysis to monitor the blood glucose concentration. Here, we evaluate the analysis of breath using a portable device containing a single mixed metal oxide sensor during hypoglycaemic glucose clamps and compare that with the use of SIFT-MS described in previously published work on the same set of patients. Outputs from both devices have been correlated with the concentration of blood glucose in eight volunteers suffering from type 1 diabetes mellitus. The results demonstrate that acetone as measured by SIFT-MS and the sensor output from the breath sensing device both correlate linearly with blood glucose; however, the sensor response and acetone concentrations differ greatly between patients with the same blood glucose. It is therefore unlikely that breath analysis can entirely replace blood glucose testing.

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Year:  2014        PMID: 25190582     DOI: 10.1088/1752-7155/8/3/037108

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


  3 in total

Review 1.  Technologies for Diabetes Self-Monitoring: A Scoping Review and Assessment Using the REASSURED Criteria.

Authors:  Jessica Hanae Zafra-Tanaka; David Beran; Beatrice Vetter; Rangarajan Sampath; Antonio Bernabe-Ortiz
Journal:  J Diabetes Sci Technol       Date:  2021-03-09

Review 2.  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

3.  Monitoring type 2 diabetes from volatile faecal metabolome in Cushing's syndrome and single Afmid mouse models via a longitudinal study.

Authors:  Célia Lourenço; Darren Kelly; Jack Cantillon; Michael Cauchi; Marianne A Yon; Liz Bentley; Roger D Cox; Claire Turner
Journal:  Sci Rep       Date:  2019-12-11       Impact factor: 4.379

  3 in total

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