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Published on: January 26, 2010
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Numerical simulation of a glucose sensitive composite membrane closed-loop insulin delivery system
Shashi Bajaj Mukherjee1, Debabrata Datta2, Soumyendu Raha1
1Department of Computational and Data Sciences, Indian Institute of Science, C. V. Raman Avenue, Bangalore, Karnataka, 560012, India.
Bioprocess and Biosystems Engineering
|June 26, 2017
Summary
This study presents a simpler numerical method for modeling glucose and oxygen diffusion in closed-loop insulin systems. The differential quadrature method accurately predicts gluconic acid concentrations, aiding diabetes management.
Area of Science:
- Biomedical Engineering
- Chemical Engineering
- Computational Biology
Background:
- Closed-loop insulin delivery systems regulate blood glucose via pH modulation.
- Gluconic acid production from glucose influences insulin release across membranes.
- Modeling these systems involves complex non-linear, non-steady state reaction-diffusion equations.
Purpose of the Study:
- To introduce a simplified numerical approach for modeling species diffusion.
- To apply the finite difference and differential quadrature (DQ) method.
- To analyze time and position-dependent diffusivity in reaction-diffusion systems.
Main Methods:
- Utilized the finite difference and differential quadrature (DQ) method.
- Developed a numerical approach for reaction-diffusion equations.
- Compared results with analytical methods.
Main Results:
- The DQ method provided results comparable to analytical solutions.
- Membrane thickness impacts glucose, oxygen, and gluconic acid concentrations.
- DQ method parameters remained constant, simplifying analysis.
Conclusions:
- The DQ method offers an efficient approach for modeling complex reaction-diffusion systems.
- This simplified modeling is valuable for diabetes management systems.
- Applicable to other systems governed by similar non-linear, non-steady state equations.

