Non-invasive, transdermal, path-selective and specific glucose monitoring via a graphene-based platform

Luca Lipani, Bertrand G. R. Dupont, Floriant Doungmene, Frank Marken, Rex M. Tyrrell, Richard H. Guy, Adelina Ilie

Research output: Contribution to journalArticlepeer-review

272 Citations (SciVal)
1294 Downloads (Pure)

Abstract

Currently, there is no available needle-free approach for diabetics to monitor glucose levels in the interstitial fluid. Here, we report a path-selective, non-invasive, transdermal glucose monitoring system based on a miniaturized pixel array platform (realized either by graphene-based thin-film technology, or screen-printing). The system samples glucose from the interstitial fluid via electroosmotic extraction through individual, privileged, follicular pathways in the skin, accessible via the pixels of the array. A proof of principle using mammalian skin ex vivo is demonstrated for specific and ‘quantized’ glucose extraction/detection via follicular pathways, and across the hypo- to hyper-glycaemic range in humans. Furthermore, the quantification of follicular and non-follicular glucose extraction fluxes is clearly shown. In vivo continuous monitoring of interstitial fluid-borne glucose with the pixel array was able to track blood sugar in healthy human subjects. This approach paves the way to clinically relevant glucose detection in diabetics without the need for invasive, finger-stick blood sampling.
Original languageEnglish
Pages (from-to)504-511
Number of pages8
JournalNature Nanotechnology
Volume13
Issue number6
Early online date9 Apr 2018
DOIs
Publication statusPublished - 30 Jun 2018

ASJC Scopus subject areas

  • Bioengineering
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering
  • General Materials Science
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Non-invasive, transdermal, path-selective and specific glucose monitoring via a graphene-based platform'. Together they form a unique fingerprint.

Cite this