The dynamic mechanism comprising an enzymatic reaction and the diffusion of reactants and products inside a glucose-sensitive composite membrane is described using a mathematical model created by Abdekhodaie and Wu. A set of non-linear steady-state reaction-diffusion equations is presented in this theoretical model. These equations have been meticulously and accurately solved analytically, considering the concentrations of glucose, oxygen, and gluconic acid, using a novel approach of Akbari Ganji and differential transform methods. The high level of agreement between these analytical results and the numerical results for steady-state conditions is a testament to the model's precision. A numerical simulation was produced via the precise and widely used MATLAB software. A comprehensive graphic representation of the model's various kinetic parameters' effects has also been provided. Additionally, a theoretical analysis of the kinetic parameters, such as the maximal reaction velocity (Vmax) and the Michaelis-Menten constants (Kg and Kox) for oxygen and glucose, pH profiles with membranes is presented. This expressed model is incredibly helpful when creating glucose-responsive composite membranes for closed-loop insulin delivery.
Published in | American Journal of Applied Mathematics (Volume 13, Issue 3) |
DOI | 10.11648/j.ajam.20251303.12 |
Page(s) | 194-204 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Membrane Responsive to Glucose, Delivery of Insulin, Enzymatic Process, Equation of Reaction-diffusion, Akbari-Ganji Method, Differential Transform Method
[1] | Abdekhodaie, M. J., & Wu, X. Y. (2005). Modeling of a cationic glucose-sensitive membrane with consideration of oxygen limitation. Journal of membrane science, 254(1-2), 119-127. |
[2] | Zhang, K., & Wu, X. Y. (2002). Modulated insulin permeation across a glucose-sensitive polymeric composite membrane. Journal of controlled release, 80(1-3), 169-178. |
[3] | Podual, K., Doyle Iii, F. J., & Peppas, N. A. (2000). Dynamic behavior of glucose oxidase-containing microparticles of poly (ethylene glycol)-grafted cationic hydrogels in an environment of changing pH. Biomaterials, 21(14), 1439-1450. |
[4] | Hassan, C. M., Doyle, F. J., & Peppas, N. A. (1997). Dynamic behavior of glucose-responsive poly (methacrylic acid-g-ethylene glycol) hydrogels. Macromolecules, 30(20), 6166-6173. |
[5] | Abdekhodaie, M. J., & Wu, X. Y. (2009). Modeling of a glucose sensitive composite membrane for closed-loop insulin delivery. Journal of Membrane Science, 335(1-2), 21-31. |
[6] | Hariharan, D., & Peppas, N. A. (1996). Characterization, dynamic swelling behaviour and solute transport in cationic networks with applications to the development of swelling-controlled release systems. Polymer, 37(1), 149-161. |
[7] | Rajendran, L., & Bieniasz, L. K. (2013). Analytical expressions for the steady-state concentrations of glucose, oxygen and gluconic acid in a composite membrane for closed-loop insulin delivery. The Journal of Membrane Biology, 246, 121-129. |
[8] | Mehala, N., Rajendran, L., & Meena, V. (2017). Part-2: Analytical Expressions of Concentrations of Glucose, Oxygen, and Gluconic Acid in a Composite Membrane for Closed-Loop Insulin Delivery for the Non-steady State Conditions. The Journal of Membrane Biology, 250, 89-101. |
[9] | A. Martin, Physical Pharmacy, 4th ed., Lea & Feabiger Publisher, 1993, p. 176. |
[10] | Chitra Devi M, Swaminathan R, Rajendran L. A Closer look of non-linear reaction diffusion equations, Nova, 2020. |
[11] | Swaminathan R, Lakshmi Narayanan K, Mohan V, Saranya K, Rajendran L. Reaction/Diffusion Equation with Micahelis-Menten Kinetics in Microdisk Biosensor Homotopy Perturbation Approach, Int. J. Electrochem. Sci., 2019; 14: 3777-3791. |
[12] | Meena A, Eswari A, Rajendran L. Mathematical Modelling of enzyme kinetics reaction mechanisms and analytical solutions of non-linear reaction equations, J Math Chem, 2010; 48: 179–186. |
[13] | Swaminathan R, Chithra Devi M, Rajendran L, Venugopal K. Sensitivity and resistance of Amperometric Biosensor in substrate inhibition, J. Electroanal. Chem. 2021; 895: 115527. |
[14] | Swaminathan R, Saravanakumar R, Venugopal K, Rajendran L. Analytical solution of Non Linear Problems in Homogeneous Reactions occur in the Mass-Transfer Boundary Layer: Homotopy Perturbation Method, Int. J. Electrochem. Sci. 2021; 16: 210644. |
[15] | Rajendran L, Kirthiga M, Laborda E. Mathematical modelling of nonlinear reaction-diffusion Processes in enzymatic biofuel cells, Curr. Opin. Electrochem, 2017; 1: 121-132. |
[16] | Swaminathan R, Venugopal K, Rajendran L, Rasi M, Abukhaled M. Analytical Expressions for the concentration and current in the reduction of Hydrogen Peroxide at a metal-dispersed conducting polymer film, Quim. Nova, 2019; 14: 3777-3791. |
[17] | Preethi KPV, Chitra Devi M, Swaminathan R, Poovazhaki R. The New Homotopy Perturbation Method (NHPM) for nonlinear parabolic Equation in chemical sciences International Journal of Mathematics and its applications, 2018; 6: 359-367. |
[18] | Swaminathan R, Venugopal K, Jeyabharathi P, Rajendran L. A Non-linear Mathematical Model of Roll Motion of ships with a Higher-order a polynomial of Righting Arm, solid state technology, 2020; 63: 2464-2473. |
[19] | Padma S, Jeyabarathi P, Rajendran L. The Steady-State Concentration of the Species in a Reagentless Enzyme-Containing Polymer Modified Electrode Using Akbari-Ganji’s method. |
[20] | Shanthi R, Chitra Devi M, Rajendran L. Mathematical Modeling of pH-Based Potentiometric Biosensor Using Akbari-Ganji Method. |
[21] | Ranjani K, Vijayalakshmi L. Choquet Integral Compared With Weighted Mean In Decision Making, IJMTT 2020. |
[22] | Ranjani K, Swaminathan R, Karpagavalli SG. Mathematical modelling of a mono-enzyme dual amperometric biosensor for enzyme-catalyzed reactions using homotopy analysis and Akbari-Ganji methods, Int. J. Electrochem. Sci, 2023; 18(9): 100220. |
[23] | Reena A, Karpagavalli SG, Rajendran L, Manimegalai B, Swaminathan R. Theoretical analysis of putrescine enzymatic biosensor with optical oxygen transducer in sensitive layer using Akbari- Ganji method” Int. J. Electrochem. Sci 2023; 18(5): 100113. |
[24] | Nebiyal A, Swaminathan R, Karpagavalli SG. Reaction kinetics of amperometric enzyme electrode in various geometries using the Akbari-Ganji methods. Int. J. Electrochem. Sci 2023; 18(9): 100240. |
[25] | Reena A, Karpagavalli SG, Swaminathan R. “Theoretical analysis and steady-state responses of multienzyme amperometric biosensor system for nonlinear reaction- diffusion equations” Int. J. Electrochem. Sci, 2023; 18(10): 100293. |
[26] | Raju, R. V., Karpagavalli, S. G., & Swaminathan, R. (2024). Nonlinear Steady-State VOC and Oxygen Modeling in Biofiltration. International Journal of Analysis and Applications, 22, 155. |
[27] | Uma, A., Raja, R., & Swaminathan, R. (2024). Analytical Solution of Concentrated Mixtures of Hydrogen Sulfide and Methanol in Steady State in Biofilm Model. Contemporary Mathematics, 2632-2645. |
[28] | Uma, A., & Swaminathan, R. (2024). Mathematical Analysis of Nonlinear Reaction Diffusion Process at Carbon Dioxide Absorption in Concentrated Mixtures of 2-Amino-2-Methyl-1-Proponal and 1, 8-Diamino-p-Methane. International Journal of Analysis and Applications, 22, 110. |
[29] | Ranjani K, Swaminathan R, Karpagavalli SG. A theoretical investigation of steady-state concentration processes at a carrier-mediated transport model using Akbari-Ganji and differential transform methods” Partial Differ. Equ. Appl., 2023: 8: 100594. |
[30] | Nebiyal, A., Swaminathan, R., Raja, R., & Karpagavalli, S. G. (2024). Investigation of a Mathematical Model and Non-Linear Effects Based on Parallel-Substrates Biochemical Conversion. Contemporary Mathematics, 2198-2210. |
[31] | Ranjani, K., Swaminathan, R., & Karpagavalli, S. G. (2024, August). A study on analytical non-linear theory of the porous fin in heat transfer using Akbari-Ganji method. In AIP Conference Proceedings (Vol. 3160, No. 1). AIP Publishing. |
[32] | Ranjani, K., Swaminathan, R., & Karpagavalli, S. G. (2024). Mathematical modelling of three-layer amperometric biosensor and analytical expressions using homotopy perturbation method. Partial Differential Equations in Applied Mathematics, 100755. |
[33] | Nebiyal, A., Swaminathan, R., & Karpagavalli, S. G. (2024). Mathematical Modelling and Application of Analytical Methods for A Non-Linear EC2E Mechanism in Rotating Disk Electrode. International Journal of Analysis and Applications, 22, 92-92. |
APA Style
Kesavan, R., Rajagopal, S., Ramasamy, K. (2025). Mathematical Modelling and Analytical Expressions for Steady-state Concentrations of Non-linear Glucose-responsive Composite Membranes for Closed-loop Insulin Delivery: Akbari-Ganji and Differential Transform Methods. American Journal of Applied Mathematics, 13(3), 194-204. https://doi.org/10.11648/j.ajam.20251303.12
ACS Style
Kesavan, R.; Rajagopal, S.; Ramasamy, K. Mathematical Modelling and Analytical Expressions for Steady-state Concentrations of Non-linear Glucose-responsive Composite Membranes for Closed-loop Insulin Delivery: Akbari-Ganji and Differential Transform Methods. Am. J. Appl. Math. 2025, 13(3), 194-204. doi: 10.11648/j.ajam.20251303.12
AMA Style
Kesavan R, Rajagopal S, Ramasamy K. Mathematical Modelling and Analytical Expressions for Steady-state Concentrations of Non-linear Glucose-responsive Composite Membranes for Closed-loop Insulin Delivery: Akbari-Ganji and Differential Transform Methods. Am J Appl Math. 2025;13(3):194-204. doi: 10.11648/j.ajam.20251303.12
@article{10.11648/j.ajam.20251303.12, author = {Ranjani Kesavan and Swaminathan Rajagopal and Karpagavalli Ramasamy}, title = {Mathematical Modelling and Analytical Expressions for Steady-state Concentrations of Non-linear Glucose-responsive Composite Membranes for Closed-loop Insulin Delivery: Akbari-Ganji and Differential Transform Methods }, journal = {American Journal of Applied Mathematics}, volume = {13}, number = {3}, pages = {194-204}, doi = {10.11648/j.ajam.20251303.12}, url = {https://doi.org/10.11648/j.ajam.20251303.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20251303.12}, abstract = {The dynamic mechanism comprising an enzymatic reaction and the diffusion of reactants and products inside a glucose-sensitive composite membrane is described using a mathematical model created by Abdekhodaie and Wu. A set of non-linear steady-state reaction-diffusion equations is presented in this theoretical model. These equations have been meticulously and accurately solved analytically, considering the concentrations of glucose, oxygen, and gluconic acid, using a novel approach of Akbari Ganji and differential transform methods. The high level of agreement between these analytical results and the numerical results for steady-state conditions is a testament to the model's precision. A numerical simulation was produced via the precise and widely used MATLAB software. A comprehensive graphic representation of the model's various kinetic parameters' effects has also been provided. Additionally, a theoretical analysis of the kinetic parameters, such as the maximal reaction velocity (Vmax) and the Michaelis-Menten constants (Kg and Kox) for oxygen and glucose, pH profiles with membranes is presented. This expressed model is incredibly helpful when creating glucose-responsive composite membranes for closed-loop insulin delivery. }, year = {2025} }
TY - JOUR T1 - Mathematical Modelling and Analytical Expressions for Steady-state Concentrations of Non-linear Glucose-responsive Composite Membranes for Closed-loop Insulin Delivery: Akbari-Ganji and Differential Transform Methods AU - Ranjani Kesavan AU - Swaminathan Rajagopal AU - Karpagavalli Ramasamy Y1 - 2025/06/11 PY - 2025 N1 - https://doi.org/10.11648/j.ajam.20251303.12 DO - 10.11648/j.ajam.20251303.12 T2 - American Journal of Applied Mathematics JF - American Journal of Applied Mathematics JO - American Journal of Applied Mathematics SP - 194 EP - 204 PB - Science Publishing Group SN - 2330-006X UR - https://doi.org/10.11648/j.ajam.20251303.12 AB - The dynamic mechanism comprising an enzymatic reaction and the diffusion of reactants and products inside a glucose-sensitive composite membrane is described using a mathematical model created by Abdekhodaie and Wu. A set of non-linear steady-state reaction-diffusion equations is presented in this theoretical model. These equations have been meticulously and accurately solved analytically, considering the concentrations of glucose, oxygen, and gluconic acid, using a novel approach of Akbari Ganji and differential transform methods. The high level of agreement between these analytical results and the numerical results for steady-state conditions is a testament to the model's precision. A numerical simulation was produced via the precise and widely used MATLAB software. A comprehensive graphic representation of the model's various kinetic parameters' effects has also been provided. Additionally, a theoretical analysis of the kinetic parameters, such as the maximal reaction velocity (Vmax) and the Michaelis-Menten constants (Kg and Kox) for oxygen and glucose, pH profiles with membranes is presented. This expressed model is incredibly helpful when creating glucose-responsive composite membranes for closed-loop insulin delivery. VL - 13 IS - 3 ER -