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‘SWEATCH’ – A platform for real-time monitoring of sweat electrolyte composition

Glennon, Tom and O'Quigley, Conor and McCaul, Margaret and Coyle, Shirley and Matzeu, Giusy and Coleman, Simon and Ben Azouz, Aymen and Beirne, Stephen and Wallace, Gordon and White, Paddy and O'Mahoney, Niamh and Diamond, Dermot (2016) ‘SWEATCH’ – A platform for real-time monitoring of sweat electrolyte composition. In: ACES2016 Symposium, 10-12 Feb. 2016, Deakin University, Melbourne, Australia.

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Since the initial breakthroughs in the 1960’s and 70’s that led to the development of the glucose biosensor, the oxygen electrode, ion-selective electrodes, and electrochemical/optochemical diagnostic devices, the vision of very reliable, affordable chemical sensors and bio-sensors capable of functioning autonomously for long periods of time (years), and providing access to continuous streams of real-time data remains unrealized. This is despite massive investment in research and the publication of many thousands of papers in the literature. It is over 40 years since the first papers proposing the concept of the artificial pancreas, by combining the glucose electrode with an insulin pump. Yet even now, there is no chemical sensor/biosensor that can function reliably inside the body for more than a few days, and such is the gap in what can be delivered (days), and what is required (minimum 10 years) for implantable devices, it is not surprising that in health diagnostics, the overwhelmingly dominant paradigm for reliable measurements is single use disposable sensors. Realising disruptive improvements in chem/bio-sensing platforms capable of long-term (months, years) independent operation requires a step-back and rethinking of strategies, and considering solutions suggested by nature, rather than incremental improvements in available technologies.

Item Type:Conference or Workshop Item (Invited Talk)
Event Type:Conference
Subjects:Physical Sciences > Photochemistry
Biological Sciences > Microfluidics
Physical Sciences > Electrochemistry
Medical Sciences > Health
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, Australian Research Council
ID Code:21115
Deposited On:01 Mar 2016 10:29 by Dermot Diamond. Last Modified 02 Mar 2017 16:53

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