350
Views
47
CrossRef citations to date
0
Altmetric
Review

Potential of breath and skin analysis for monitoring blood glucose concentration in diabetes

Pages 497-503 | Published online: 09 Jan 2014
 

Abstract

The ability to monitor blood glucose noninvasively has long been a goal of those with diabetes, due to the pain and inconvenience of current blood glucose monitoring devices. This article investigates the potential for monitoring compounds in breath and emitted through skin for inferring blood glucose concentration. Potential markers and an assessment of their suitability for noninvasive monitoring are discussed. The varying technologies developed for monitoring volatile organic compounds in breath and from the skin of diabetics and their suitability for development as a hand-held device is reviewed. The potential exists for the use of breath and skin monitoring as an alternative to blood glucose, but it may take years to collect sufficient clinical data for robust correlations to be possible.

Financial & competing interests disclosure

The author has no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

No writing assistance was utilized in the production of this manuscript.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 706.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.