Jump to main content
Jump to site search

Issue 2, 2014
Previous Article Next Article

A differential dielectric affinity glucose sensor

Author affiliations


A continuous glucose monitor with a differential dielectric sensor implanted within the subcutaneous tissue that determines the glucose concentration in the interstitial fluid is presented. The device, created using microelectromechanical systems (MEMS) technology, consists of sensing and reference modules that are identical in design and placed in close proximity. Each module contains a microchamber housing a pair of capacitive electrodes residing on the device substrate and embedded in a suspended, perforated polymer diaphragm. The microchambers, enclosed in semi-permeable membranes, are filled with either a polymer solution that has specific affinity to glucose or a glucose-insensitive reference solution. To accurately determine the glucose concentration, changes in the permittivity of the sensing and the reference solutions induced by changes in glucose concentration are measured differentially. In vitro characterization demonstrated the sensor was capable of measuring glucose concentrations from 0 to 500 mg dL−1 with resolution and accuracy of ~1.7 μg dL−1 and ~1.74 mg dL−1, respectively. In addition, device drift was reduced to 1.4% (uncontrolled environment) and 11% (5 °C of temperature variation) of that from non-differential measurements, indicating significant stability improvements. Preliminary animal testing demonstrated that the differential sensor accurately tracks glucose concentration in blood. This sensor can potentially be used clinically as a subcutaneously implanted continuous monitoring device in diabetic patients.

Graphical abstract: A differential dielectric affinity glucose sensor

Back to tab navigation

Supplementary files

Article information

05 Sep 2013
03 Oct 2013
First published
04 Oct 2013

Lab Chip, 2014,14, 294-301
Article type

A differential dielectric affinity glucose sensor

X. Huang, C. Leduc, Y. Ravussin, S. Li, E. Davis, B. Song, D. Li, K. Xu, D. Accili, Q. Wang, R. Leibel and Q. Lin, Lab Chip, 2014, 14, 294
DOI: 10.1039/C3LC51026C

Social activity

Search articles by author