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

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.

[1]  William J Tyler,et al.  A quantitative overview of biophysical forces impinging on neural function , 2013, Physical biology.

[2]  J. Herbig,et al.  On the performance of proton-transfer-reaction mass spectrometry for breath-relevant gas matrices , 2013 .

[3]  Hossam Haick,et al.  Discriminative power of chemically sensitive silicon nanowire field effect transistors to volatile organic compounds. , 2013, ACS applied materials & interfaces.

[4]  S. Pratsinis,et al.  Correlations between blood glucose and breath components from portable gas sensors and PTR-TOF-MS , 2013, Journal of breath research.

[5]  Zhennan Wang,et al.  Is breath acetone a biomarker of diabetes? A historical review on breath acetone measurements , 2013, Journal of breath research.

[6]  J. Bernstein,et al.  Portable method of measuring gaseous acetone concentrations. , 2013, Talanta.

[7]  A. Amann,et al.  Detection of potential chronic kidney disease markers in breath using gas chromatography with mass-spectral detection coupled with thermal desorption method. , 2013, Journal of chromatography. A.

[8]  Ralph P. Tatam,et al.  Optical fiber long period grating sensor with a polyelectrolyte alternate thin film for gas sensing of amine odors , 2013 .

[9]  Shi Wang,et al.  On the sensitivity of conductimetric acetone gas sensor based on polypyrrole and polyaniline conducting polymers , 2013 .

[10]  Gu Xu,et al.  Low cost acetone sensors with selectivity over water vapor based on screen printed TiO2 nanoparticles , 2013 .

[11]  Ali Osman Selvi,et al.  Electronic Nose System Based on Quartz Crystal Microbalance Sensor for Blood Glucose and HbA1c Levels From Exhaled Breath Odor , 2013, IEEE Sensors Journal.

[12]  Anton Amann,et al.  Volatile Biomarkers : Non-Invasive Diagnosis in Physiology and Medicine , 2013 .

[13]  Toby Mottram,et al.  Development of a device for sampling cattle breath Journal Item , 2012 .

[14]  Claire Turner,et al.  Potential of breath and skin analysis for monitoring blood glucose concentration in diabetes , 2011, Expert review of molecular diagnostics.

[15]  David Smith,et al.  Progress in SIFT-MS: breath analysis and other applications. , 2011, Mass spectrometry reviews.

[16]  David Zhang,et al.  Diabetes Identification and Classification by Means of a Breath Analysis System , 2010, ICMB.

[17]  H. M. Saraoglu,et al.  Determination of diabetic blood glucose value from breath odor using QCM sensor based Electronic Nose , 2010, 2010 15th National Biomedical Engineering Meeting.

[18]  Sotiris E Pratsinis,et al.  Si:WO(3) Sensors for highly selective detection of acetone for easy diagnosis of diabetes by breath analysis. , 2010, Analytical chemistry.

[19]  S. Coleman,et al.  A Novel Criterion for CharacterizingDiffusion Anisotropy in HARDI Data Basedon the MDL Technique , 2010, ICMB 2010.

[20]  Christopher Walton,et al.  Breath acetone concentration decreases with blood glucose concentration in type I diabetes mellitus patients during hypoglycaemic clamps , 2009, Journal of breath research.

[21]  G. Teschl,et al.  Isoprene and acetone concentration profiles during exercise on an ergometer , 2009, Journal of breath research.

[22]  D. Blake,et al.  Exhaled methyl nitrate as a noninvasive marker of hyperglycemia in type 1 diabetes , 2007, Proceedings of the National Academy of Sciences.

[23]  David Smith,et al.  Selected ion flow tube mass spectrometry (SIFT-MS) for on-line trace gas analysis. , 2005, Mass spectrometry reviews.

[24]  H. Byun,et al.  Analysis of diabetic patient's breath with conducting polymer sensor array , 2005 .

[25]  David A. Wood,et al.  What a performance , 2004 .

[26]  M. Kalapos,et al.  On the mammalian acetone metabolism: from chemistry to clinical implications. , 2003, Biochimica et biophysica acta.

[27]  U. Weimar,et al.  Understanding the fundamental principles of metal oxide based gas sensors; the example of CO sensing with SnO2 sensors in the presence of humidity , 2003 .

[28]  Q. Zhang,et al.  Diagnosis of diabetes by image detection of breath using gas-sensitive LAPS. , 2000, Biosensors & bioelectronics.

[29]  D. Ruta,et al.  Frequency of blood glucose monitoring in relation to glycaemic control: observational study with diabetes database , 1999, BMJ.