Dynamic modelling and simulation of reactive transport phenomena in an amperometric blood glucose biosensor

Fergus McIlwaine, Dimitrios Gerogiorgis

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract / Description of output

The treatment of diabetes as well as several other diseases which affect millions of patients worldwide strongly depend on deploying affordable technologies for frequent and accurate monitoring of blood glucose concentrations. Both theoretical and experimental investigations of novel blood glucose biosensor concepts pave the way for fast efficiency analysis of candidate biosensor designs. Recent studies have addressed the operation of amperometric biosensors, within which a combination of an enzymatic reaction and an enzyme deposited on an electrode allows for conclusive blood glucose detection. This paper models a single droplet on blood on an amperometric glucose biosensor to investigate the sensitivity of sensor performance to varying transport phenomena parameter values. The work presents a comprehensive sensitivity analysis, based on a new two-dimensional spatiotemporal model (constructed in MATLAB) which studies the combined reactive transport phenomena within a blood droplet deposited on an enzyme-coated surface. The sensitivity analysis explores the variation of electrode response (current density) and concentration profiles throughout the droplet and the enzyme layer subject to varying initial conditions and component diffusivities. Results clearly indicate a strong dependence of output profiles on the said sensitivity parameters: ensuring high current density (especially for small droplet volumes) is a prerequisite for developing reliable glucose biosensors of high accuracy and precision.
Original languageEnglish
Title of host publication28th European Symposium on Computer Aided Process Engineering
EditorsAnton Friedl, Jiri Klemeš, Stefan Radl, Petar Varbanov, Thomas Wallek
Place of PublicationAmsterdam
PublisherElsevier B.V.
Number of pages6
Publication statusPublished - 11 Jun 2018

Publication series

NameComputer-Aided Chemical Engineering


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