Literature DB >> 23959908

Correlations between blood glucose and breath components from portable gas sensors and PTR-TOF-MS.

M Righettoni1, A Schmid, A Amann, S E Pratsinis.   

Abstract

Acetone is one of the most abundant volatile compounds in the human breath and might be important for monitoring diabetic patients. Here, a portable acetone sensor consisting of flame-made, nanostructured, Si-doped WO3 sensing films was used to analyse the end tidal fraction of the breath (collected in Tedlar bags) from eight healthy volunteers after overnight fasting (morning) and after lunch (afternoon). After breath sampling, the gaseous components were also analysed by proton transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS), and each person's blood glucose level was measured. The portable sensor accurately detected the presence of acetone with fast response/recovery times (<12 s) and a high signal-to-noise ratio. Statistical analysis of the relationship between the PTR-TOF-MS measurements of breath gases (e.g., acetone, isoprene, ethanol and methanol), sensor response and the blood glucose level was performed for both sampling periods. The best correlations were found after overnight fasting (morning): in particular, between blood glucose level and breath acetone (Pearson's 0.98 and Spearman's 0.93). Whereas the portable sensor response correlated best with the blood glucose (Pearson's 0.96 and Spearman's 0.81) and breath acetone (Pearson's 0.92 and Spearman's 0.69).

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Year:  2013        PMID: 23959908     DOI: 10.1088/1752-7155/7/3/037110

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


  15 in total

1.  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

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

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

Review 3.  Significance of Exhaled Breath Test in Clinical Diagnosis: A Special Focus on the Detection of Diabetes Mellitus.

Authors:  Souvik Das; Saurabh Pal; Madhuchhanda Mitra
Journal:  J Med Biol Eng       Date:  2016-10-11       Impact factor: 1.553

4.  A Novel Medical E-Nose Signal Analysis System.

Authors:  Lu Kou; David Zhang; Dongxu Liu
Journal:  Sensors (Basel)       Date:  2017-04-05       Impact factor: 3.576

Review 5.  A Compendium of Volatile Organic Compounds (VOCs) Released By Human Cell Lines.

Authors:  Wojciech Filipiak; Pawel Mochalski; Anna Filipiak; Clemens Ager; Raquel Cumeras; Cristina E Davis; Agapios Agapiou; Karl Unterkofler; Jakob Troppmair
Journal:  Curr Med Chem       Date:  2016       Impact factor: 4.530

Review 6.  Glucose prediction by analysis of exhaled metabolites - a systematic review.

Authors:  Jan Hendrik Leopold; Roosmarijn T M van Hooijdonk; Peter J Sterk; Ameen Abu-Hanna; Marcus J Schultz; Lieuwe D J Bos
Journal:  BMC Anesthesiol       Date:  2014-06-17       Impact factor: 2.217

Review 7.  Sensing Technologies for Detection of Acetone in Human Breath for Diabetes Diagnosis and Monitoring.

Authors:  Valentine Saasa; Thomas Malwela; Mervyn Beukes; Matlou Mokgotho; Chaun-Pu Liu; Bonex Mwakikunga
Journal:  Diagnostics (Basel)       Date:  2018-01-31

8.  An Ultrahigh Sensitivity Acetone Sensor Enhanced by Light Illumination.

Authors:  Heng Zhang; Hongwei Qin; Chengyong Gao; Jifan Hu
Journal:  Sensors (Basel)       Date:  2018-07-17       Impact factor: 3.576

9.  Highly Sensitive Room-Temperature Sensor Based on Nanostructured K₂W₇O22 for Application in the Non-Invasive Diagnosis of Diabetes.

Authors:  Md Razuan Hossain; Qifeng Zhang; Michael Johnson; Danling Wang
Journal:  Sensors (Basel)       Date:  2018-10-31       Impact factor: 3.576

Review 10.  Sensors for Enhanced Detection of Acetone as a Potential Tool for Noninvasive Diabetes Monitoring.

Authors:  Artur Rydosz
Journal:  Sensors (Basel)       Date:  2018-07-16       Impact factor: 3.576

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