Numerical simulation of a glucose sensitive composite membrane closed-loop insulin delivery system

Numerical simulation of a glucose sensitive composite membrane closed-loop insulin delivery system Closed-loop insulin delivery system works on pH modulation by gluconic acid production from glucose, which in turn allows regulation of insulin release across membrane. Typically, the concentration variation of gluconic acid can be numerically modeled by a set of non-linear, non-steady state reaction diffusion equations. Here, we report a simpler numerical approach to time and position dependent diffusivity of species using finite difference and differential quadrature (DQ) method. The results are comparable to that obtained by analytical method. The membrane thickness directly determines the concentrations of the glucose and oxygen in the system, and inversely to the gluconic acid. The advantage with the DQ method is that its parameter values need not be altered throughout the analysis to obtain the concentration profiles of the glucose, oxygen and gluconic acid. Our work would be useful for modeling diabetes and other systems governed by such non-linear and non-steady state reaction diffusion equations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bioprocess and Biosystems Engineering Springer Journals

Numerical simulation of a glucose sensitive composite membrane closed-loop insulin delivery system

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag GmbH Germany
Subject
Chemistry; Biotechnology; Industrial and Production Engineering; Environmental Engineering/Biotechnology; Industrial Chemistry/Chemical Engineering; Food Science
ISSN
1615-7591
eISSN
1615-7605
D.O.I.
10.1007/s00449-017-1803-1
Publisher site
See Article on Publisher Site

Abstract

Closed-loop insulin delivery system works on pH modulation by gluconic acid production from glucose, which in turn allows regulation of insulin release across membrane. Typically, the concentration variation of gluconic acid can be numerically modeled by a set of non-linear, non-steady state reaction diffusion equations. Here, we report a simpler numerical approach to time and position dependent diffusivity of species using finite difference and differential quadrature (DQ) method. The results are comparable to that obtained by analytical method. The membrane thickness directly determines the concentrations of the glucose and oxygen in the system, and inversely to the gluconic acid. The advantage with the DQ method is that its parameter values need not be altered throughout the analysis to obtain the concentration profiles of the glucose, oxygen and gluconic acid. Our work would be useful for modeling diabetes and other systems governed by such non-linear and non-steady state reaction diffusion equations.

Journal

Bioprocess and Biosystems EngineeringSpringer Journals

Published: Jun 24, 2017

References

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