Bruen, Danielle ORCID: 0000-0002-4478-9766, Florea, Larisa ORCID: 0000-0002-4704-2393 and Diamond, Dermot ORCID: 0000-0003-2944-4839 (2015) Glucose bio-sensing in real-time using boronic acid derivatives. In: NanoNet 2015, 21-22 Oct 2015, University of Limerick, Limerick, Ireland.
Abstract
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.
Metadata
Item Type: | Conference or Workshop Item (Poster) |
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Event Type: | Conference |
Refereed: | No |
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 Institutes and Centres > INSIGHT Centre for Data Analytics Research Institutes 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 26 Sep 2018 12:38 |
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