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Glucose bio-sensing in real-time using boronic acid derivatives

Bruen, Danielle and Florea, Larisa and Diamond, Dermot (2015) Glucose bio-sensing in real-time using boronic acid derivatives. In: NanoNet 2015, 21-22 Oct 2015, University of Limerick, Limerick, Ireland.

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Diabetes is an incurable disease that promotes acute and chronic complications, namely blindness, heart disease or kidney failure1-3. Monitoring the disease marker glucose in blood can prolong life expectancy by allowing diabetics to manage episodes of hypo- or hyperglycaemia, hence providing better control over their condition. Currently, noninvasive-continuous monitoring systems aren’t available1-3. Boronic acids (BAs) are well known for their strong, reversible interactions with diol-containing compounds like sugars, such as glucose. Incorporating BAs in to fluorescent moieties is a common approach for monitoring the BA-sugar binding. On interaction with sugars, a decrease in the fluorescence intensity of the BA sensor occurs with increasing sugar concentrations1-3. Here we present the synthesis and fluorescence study of a novel BA derivative, o-COOHBA, that has been synthesised via a one-step nucleophilic substitution reaction1-2. o-COOHBA was compared in terms of fluorescence, sensitivity to glucose and sensing range with the BA sensor - m-[N-[(3-boronobenzyl)-6-methoxyquinolinium bromide]], which has been previously reported for its sugar-sensing capabilities at physiological pH1-2. Fluorescent measurements of the new BA sensor in response to glucose were taken in various pH buffers in the range of 0.05-5mM, correlating to the ocular-glucose concentration range for diabetics. This approach aims to develop a noninvasive-continuous monitoring device, by immobilizing a BA derivative on to a disposable contact lens. This novel sensing platform will provide personal management of ocular-glucose levels for diabetics in a minimally invasive manner. Consequently, there is considerable interest in using ocular fluid as a sample medium for tracking the disease marker.

Item Type:Conference or Workshop Item (Poster)
Event Type:Conference
Additional Information:The authors are grateful for financial support from Science Foundation Ireland (SFI) under the Insight Centre for Data Analytics Initiative, Grant Number SFI/12/RC/2289.
Uncontrolled Keywords:Glucose; Diabetes
Subjects:Engineering > Materials
Medical Sciences > Diseases
Physical Sciences > Organic chemistry
Biological Sciences > Biosensors
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Research Initiatives and Centres > National Centre for Sensor Research (NCSR)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, Enterprise Ireland, European Framework Programme 7
ID Code:20890
Deposited On:29 Oct 2015 12:30 by Danielle Bruen. Last Modified 31 Oct 2016 01:02

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