Research Article | | Peer-Reviewed

Mathematical Modeling of Reaction Diffusion Equation for Facilitated Emigration of Planar Electrode in a Non-Linear Process at Electroactive Polymer Film

Received: 1 December 2024     Accepted: 16 December 2024     Published: 30 December 2024
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Abstract

In this article, we propose a simple and effective methods to resolve the reaction diffusion equation for facilitated emigration of planar electrode in a steady state non-linear process that arises in the context of the electroactive polymer film. The mathematical modeling presented here suggest a substrate and an immobilized catalyst form a complex. By applying the two effective analytical approach namely Homotopy Analysis Method and Exp-Function Method, an approximate analytical expression for the substrate concentration for planar electrode is established. Moreover, the analytical approach of the current for the experimental outcomes is established. The efficiency of the methods is demonstrated by contrasting the numerical simulation with the Analytical findings. The derived analytical outcomes are compared with numerical data which is obtained by using Matlab software and it is transpires that they correspond adequately. Also the comparison of computational outcomes with dimensionless concentration of planar electrode substrate in its analytical representation established in table. In these table results depicts for different amount of reaction and diffusion parameters our new result agree rather well with the numerical findings. The error percentage of our results employing Homotopy Analysis Method and Exp-Function Method with numerical results presented. The solution is also graphically presented. It provides a satisfactory agreement for all parameter setting under comparison.

Published in Applied and Computational Mathematics (Volume 13, Issue 6)
DOI 10.11648/j.acm.20241306.13
Page(s) 236-244
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), 2024. Published by Science Publishing Group

Keywords

Mathematical Modeling, Nonlinear Differential Equation, Reaction Diffusion Equation, Electroactive Polymer Film, Homotopy Analysis Method, Exp-Function Method

1. Introduction
Over the last two decades, interest has risen in innovative materials that alter their structure and mechanical behavior in response to outside non-mechanical stimulation. Electroactive polymers are prominent representatives of intelligent materials because they respond to an electro field’s excitation by deforming in bulk and altering their material behavior. Electrode surfaces modified with electroactive polymer films are frequently employed in electrocatalysis and chemical sensor technologies. In the past 20 years, several simplified mathematical models that explain electrocatalysis in electroactive polymer film have been developed . Nonlinear reaction-diffusion equations are frequently created and solved during the inquiry, leading to the establishment of empirical estimation for the current amperometric response. Due to the simulation of the reaction-diffusion process in a finite diffusion space, the analysis is exceedingly tricky, where Michaeli’s Menten Equation gives the chemical reaction term. When formulating the differential equation, including the chemical reaction component alongside the Fick diffusion term frequently generates a nonlinear form that is difficult to solve using conventional analytical techniques. This technique often occurs when a complicated rate expression represents the interaction between the substrate and the active sensing catalysis. As a result, approximations of solutions must be found. On polymer-modified electrodes, significant progress has been achieved in simulating current response at a stable state arising from mediated electrocatalysis.
Many valuable summaries of recent developments in this field was published by numerous scientists . Dharmalingam et al used Akbari Ganji Method to found the analytical expression of electroactive polymer film. Rajendran et al. obtained the analytical solution of substrate concentration using Taylor Series Method. The analytical study to find the concentration of various electrodes geometries employing hyperbolic function method was established by Rekha et al. In this work, we present approximate analytical formulation for the substrate concentration in the case of planar electrode at electroactive polymer film by applying Homotopy Analysis Method and Exp-Function Method. The issue is then numerically stimulated and then the solution is also graphically presented by using Matlab Software.
2. Mathematical Modeling
The detailed discussion of the model has already been explained . So, we only briefly describe the model used here. The mechanism by which the substrate and the sensing element interact, along with the substrate’s diffusion in the Nernst diffusion phase and the polymer matrix, are all considered in the model.
We presume the catalyst and substrate will react using Michaeli’s Menten kinetics, as shown in Ref.
A+BKM[AB][QB'] kCQ+B'(1)
B'kE'B
Where B and C' – The catalytically active form of immobilized catalyst, A-Substrate, Q -Product, [AB]-enzyme substrate complex, [QB'] – product enzyme complex, KM-Michaeli’s Menten constant, kB – Catalytic constant.
The diffusion coefficients of a substrate in the Nernst diffusion layer and in the film are denoted by DA and D'A respectively. The coefficient of partition and the substrate’s partitioning through the polymer film are assume to be accurate. The rate of the reactions takes on the Michaeli’s Menten from. Using the non-dimensional parameters, the limiting equation for reaction diffusion is expressed as,
dP2(ζ)dζ2 +aμdP(ζ)-λP(ζ)1+δP(ζ)= 0(2)
Subject to the boundary conditions
dP(ζ)=0whenζ=0
P(ζ)=1, whenζ=1
The normalized current reaction can be represented as
Ω=ξnDAKM
The dimensionless parameters are,
P=AKA;ζ=μξ;δ=KAKM;λ=kξ2DA (3)
Where P – non-dimensional concentration of substrate, ζ – dimensionless distance, λ- Non-dimensional diffusion- parameter, δ-dimensionless saturation, a – number of electrodes involved in a charge transfer, μ -distance from electrode, ξ -uniform thickness film, A- Bulk substrate concentration. In case of a planar, cylindrical and spherical electrode, the value of a is zero, one and two.
The planar electrode equation can be formulated as follows according to steady state scenarios,
dP 2(ζ)dζ2 -λP(ζ)1+δP(ζ)= 0(4)
with the boundary conditions
dP (0)=0 andP(1)=1(5)
The non-dimensional current written as
Ω=τ(dP (ζ))ζ=1(6)
3. Analytical Formulation of the Concentration
Two various methods namely Homotopy Analysis Method and Exp-Function Method are used to derive the analytical expression for the concentration of substrate of planar electrode.
3.1. Homotopy Analysis Method
Nonlinear equations are solved by numerous methods Homotopy perturbation Method , Akbari Ganji Method , Variational Iteration Method etc., One efficient algebraic technique, Homotopy Analysis Method, can approximate semi analytic solutions to reaction diffusion nonlinear equations. It was first developed by Liao Shijun in 1992. It is an easy technique to verify and implement the convergence of a several solutions using the convergent control parameter. More Application of Homotopy Analysis Method can be phrased in numerous articles .
By Homotopy Analysis Method, we first construct the zeroth order deformation equation by taking H(ζ) = 1. We build the homotopy as follows
(1-p) dP2(ζ)dζ2=ph[dP2(ζ)dζ2-λδ+1P-1](7)
This equation (7) has an approximate solution
dP (ζ)=dP0 (ζ)+pdP1 (ζ) +p2dP2 (ζ)+...        (8)
Substituting (8) in (7)
1-pdP0 2(ζ)dζ2+pdP1 2(ζ)dζ2+p2dP 22(ζ)dζ2+... =ph[dP0 2(ζ)dζ2+pdP1 2(ζ)dζ2+p2dP 22(ζ)dζ2+...)
-λδ+1P0+pP1+p2P2+...-1](9)
Comparing the coefficients of various powers of p in (9), we get
p0: dP0 2(ζ)dζ2=0(10)
p1:dP1 2(ζ)dζ2 = dP0 2(ζ)dζ2h+1-h[λ(δ+1P0-1](11)
Solving equation (10)
dP0 (ζ)=α1ζ+α2(12)
Where α1 and α2 are constants.
Using the boundary conditions (5), we get
α1=0 and α2=1           (13)
Substitute (13) in (12), we get P0 (ζ)=1
Solving equation (11), we get
dP1 (ζ)=-[ζ1+δ]+c1ζ(14)
P1 (ζ)=-[ζ221+δ]+c1ζ+c2(15)
where c1 and c2 are constants.
Under the boundary conditions (5), we get
c1=0 andc2=1+ 21+δ(16)
Equation (15) becomes
P1 (ζ)= 21+δ(1-ζ2)(17)
According to Homotopy Analysis Method, the analytical expression of the concentration of the substrate as
P (ζ)= P0 +P1 =1+21+δ(1-ζ2)(18)
The analytical expression of steady state current solved by using Homotopy Analysis Method as,
Ω=τ(-1+δ)(19)
3.2. Exp-Function Method
Exp-Function Method is more effective and simpler than other methods and a numerous solution can be found in the same time . We are able to discover more general answers in the Exp- Function which is more universal than the sinh and tanh-function, so we can find more general solutions in Exp-Function method.
According to Exp-Function Method, the trial solution of (4) is in the form as,
P (ζ)=C1eωζ+C2e-ωζ(20)
Where C1, C2 are constants.
By the use of Boundary conditions (5), we get the values of constants
P'0=ωC1eω(0)-ωC2e-ω(0), when t = 0
Then we getC1=C2(21)
P (1)=C1eω+C2e-ω, when t = 1
ThereforeC2=1eω+e-ω(22)
Replacing the constants in (20),
P (ζ)=eωζ+e-ωζ eω+e-ω,(23)
where ω is the constant coefficient.
Consider(t):dP 2(ζ)dζ2- λP (ζ)1+δP (ζ)= 0(24)
To find the value of m by the way of gettingf't=1=0
Using (23) in (24), we obtain,
f(ζ):eωζ+e-ωζeω+e-ω''- λ(eωζ+e-ωζ eω+e-ω)1+δ(eωζ+e-ωζ eω+e-ω)= 0 (25)
f(ζ):ωeωζ+e-ωζeω+e-ω'- λ(eωζ+e-ωζ eω+e-ω)eω+e-ω+δ(eωζ+e-ωζ)(eω+e-ω)= 0
f(ζ):ω2eωζ+e-ωζeω+e-ω-λ(eωζ+e-ωζ) (eω+e-ω)+δ(eωζ+e-ωζ)=0 (26)
Differentiate (26) with respect to t,
f'ζ:ω3eωζ-e-ωζeω+e-ω-λωeωζ-e-ωζ eω+e-ω+δeωζ+e-ωζ +δωeωζ-e-ωζ eωζ+e-ωζ eω+e-ω+δeωζ+e-ωζ 2=0(27)
Substituting ζ =1in (27),
f'(ζ=1):ω3eω-e-ωeω+e-ω-λωeω-e-ω eω+e-ω+δeω+e-ω +δωeω-e-ω eω+e-ω eω+e-ω+δeω+e-ω 2=0
Then,f'(ζ=1)=ω(e2ω-1)-ω2+λ 1+δ-δλ1+δ2e2ω+1(28)
After Simplifying (28), we obtain
ω=λ1 1+δ-δ1+δ2(29)
By Exp-Function Method, the approximate analytical formulation of the concentration of substrate as
P (ζ)=eλ1 1+δ-δ1+δ2ζ+e-λ1 1+δ-δ1+δ2ζ eλ1 1+δ-δ1+δ2+e-λ1 1+δ-δ1+δ2(30)
The normalized current obtained by using EFM can be expressed as,
Ω=τλ1 1+δ-δ1+δ2eλ1 1+δ-δ1+δ2-e-λ1 1+δ-δ1+δ2eλ1 1+δ-δ1+δ2+e-λ1 1+δ-δ1+δ2(31)
4. Numerical Simulation
The efficiency of the methods is demonstrated by contrasting the numerical simulation of the equation of (4) with the Analytical findings (18) and (30). Table 1 and Table 2 compares the computational outcomes with dimensionless concentration of planar electrode P (ζ) substrate in its analytical representation. These tables show that, for different amount of δ and λ, our new result agree rather well with the numerical findings. It provides a satisfactory agreement for all parameter setting under comparison. Our results employing Homotopy Analysis Method and Exp-Function Method with numerical results have maximum relative error rate of 0.0045% and 0.0078% respectively.
Table 1. Deviation between Numerical result (4) and Analytical results (18) and (30) of the substrate concentration in the case of planar electrode for various values of saturation parameter δ and for fixed diffusion parameter λ = 0.1 and h = -1.

λ=0.1,δ=1,h=-1

λ =0.1,δ=0.01,h=-1

T

Num. Value

HAM of (18)

Error% of HAM

EFM of (3)

Error of EFM

Num. Value

HAM of (18)

Error of HAM

EFM of (30)

Error of EFM

0.0

0.9753

0.9750

0.0003

0.9876

0.0123

0.9524

0.9504

0.0020

0.9529

.0.0005

0.1

0.9755

0.9752

0.0003

0.9877

0.0122

0.9528

0.9509

0.0019

0.9533

0.0005

0.2

0.9762

0.9760

0.0002

0.9881

0.0119

0.9542

0.9524

0.0018

0.9547

0.0005

0.3

0.9775

0.9772

0.0003

0.9887

0.0112

0.9565

0.9549

0.0016

0.9571

0.0006

0.4

0.9791

0.9790

0.0001

0.9896

0.0105

0.9598

0.9584

0.0014

0.9603

0.0005

0.5

0.9816

0.9812

0.0004

0.9907

0.0091

0.964

0.9628

0.0012

0.9646

0.0006

0.6

0.984

0.9840

0.0004

0.9920

0.008

0.9692

0.9683

0.0009

0.9697

0.0005

0.7

0.9876

0.9872

0.0004

0.993

0.0057

0.9754

0.9747

0.0007

0.9758

0.0004

0.8

0.991

0.9910

0.000

0.9955

0.0045

0.9826

0.9821

0.0005

0.9829

0.0003

0.9

0.9957

0.995

0.0007

0.997

0.0013

0.9908

0.9905

0.0003

0.9909

0.0001

1.0

1.0000

1.0000

0.000

1.0000

0.0000

1.0000

1.0000

0.0000

1.0000

0.0000

Average Error%

0.0003

0.0078

0.0001

0.0004

Table 2. Comparison of concentration of substrate in the case of planar electrode between Numerical result (4) and obtained new Analytical results (18) and (30) for various values of diffusion parameter λ and for fixed saturation parameter δ =0.01 and h = -1.

λ=0.01,δ=0.01,h=-1

λ=0.2,δ=0.01,h=-1

T

Num.

Value

HAM of (18)

Error% of HAM

EFM of (30)

Error of EFM

Num.

Value

HAM of (18)

Error of HAM

EFM of (30)

Error of EFM

0.0

0.9951

0.9950

0.0001

0.9951

0.0001

0.9085

0.9009

0.0076

0.9093

0.0008

0.1

0.9951

0.9950

0.0001

0.9951

0.0001

0.9094

0.9019

0.0075

0.9102

0.0008

0.2

0.9953

0.9952

0.0001

0.9953

0.0001

0.9118

0.9049

0.0069

0.9129

0.0011

0.3

0.9955

0.9954

0.0001

0.9955

0.0001

0.9168

0.9099

0.0069

0.9174

0.0006

0.4

0.9958

0.9958

0.0000

0.9958

0.0000

0.9225

0.9168

0.0057

0.9236

0.0011

0.5

0.9963

0.9962

0.0001

0.9963

0.0001

0.9306

0.9257

0.0049

0.9317

0.0011

0.6

0.9968

0.9968

0.0000

0.9968

0.0000

0.9406

0.9366

0.004

0.9416

0.001

0.7

0.9975

0.9974

0.0001

0.9975

0.0001

0.9526

0.9495

0.0031

0.9534

0.0008

0.8

0.9982

0.9982

0.0000

0.9982

0.0000

0.9664

0.9643

0.0021

0.9670

0.0006

0.9

0.9991

0.999

0.0001

0.999

0.0001

0.9822

0.9811

0.0011

0.9825

0.0003

1.0

1.0000

1.0000

0.0000

1.0000

0.0000

1.0000

1.0000

0.0000

1.0000

0.0000

Average Error%

6.36e-5

6.36e-5

0.0045

0.0007

5. Results and Discussion
Equation (18) and (30) are the newly developed approximative analytical expressions for the concentration of substrate in Homotopy Analysis method and Exp-Function Method respectively. Also, the reaction of the normalized current is presented in Eqn. (19) and (31). The prediction was observed that the analytical and numerical results agreed well. The diffusion parameter λ and the saturation δ both affect the materials concentration. The layer thickness ξ, the diffusion coefficient of the substrate DA within the polymer film and the parameter of reaction diffusion λ which establishes the relationship between the rate of substrate diffusion over the film to the amount of the chemical reaction that occurs in the layer.
Figure 1 represents that the dimensionless substrate concentration for the various values of δ and the constant value of λ=0.1 and h = -1. According to Figure 1, it evident that the concentration of substrate P (ζ) increases whenever the saturation factor δ increases for the fixed amount of diffusion parameter λ. For δ5, the concentration of material becomes constant. For every large amount of non-dimensional distance, the analytical outcomes which are derived by using Homotopy analysis method and Exp-Function method are coincide.
Figure 1. Comparison of Analytical and Numerical outcomes for different values of δ with fixed amount of λ=0.1.
Figure 2. Comparison of Analytical and Numerical results for fixed λ=0.2 with various amount of δ.
Figure 2 shows that the comparison of analytical and numerical outcomes of the concentration for fixed λ=0.2 with the various saturation parameter. It depicts that the substrate evolves into less saturated in the concentration although the diffusion parameter remains elevated. The concentration on the electrode surface have been considered to be directly proportional to the saturation parameter δ.
Figure 3 demonstrate that the non-dimensional concentration of substrate for the different values of λ and the fixed value of δ=0.01 and h = -1. Figure 3 leads to the conclusion that the material concentration rises when the diffusion parameter λ falls for the fixed factor δ. When λ0.01, the concentration of substrate is uniform. That means, the inclined curve immerged as straight line. The parameter has an impact which is inversely correlated to the diffusion parameter.
Figure 3. Comparison of Analytical and Numerical results for fixed δ=0.01 with various amount of λ.
Figure 4. Plot of analytical finding contrast with numerical results for various values of λ with δ=0.1.
Figure 4 illustrates that the plot of new analytical findings contrast with numerical simulation for different values of diffusion parameter with δ=0.1. According to Figure 4, the increasing amount of diffusion parameter decreases the concentration of substrate on the planar electrode. The substrate concentration P ζ reaches attains its most extreme value and decreases for ζ1 due to very large amount of non-dimensional distance at ζ=1.
Figure 5 depicts that the consequences of diffusion parameter on the current according to demonstrating the steady state current compared with the substrate concentration in the polymer modified electrode surface for an ensemble of various saturation parameter values. From the findings, the large amount of diffusion parameter increases the concentration of molar flux.
Figure 5. Influence of diffusion parameter λ on normalized current for fixed δ=1.
Figure 6. Influence of saturation parameter δ on normalized current for fixed λ=5.
Figure 6 represent the plot of normalized current versus saturation parameter τ for various values of δ with λ=5 From this figure, the concentration level decreases for all large values of saturation parameter. That is, the impact of δ inversely proportional to the normalized current for fixed amount of diffusion parameter.
Figure 7 demonstrate that the concentration of current with respect to the saturation parameter δ for numerous amounts of diffusion parameter λ and for constant τ=1. According to Figure 7, it evident that the impact of greater amount of diffusion parameter on normalized current increases the concentration level. At λ1, the concentration of current attains its steady state.
Figure 7. Influence of diffusion parameter λ on normalized current versus saturation parameter δ.
Figure 8. Influence of saturation parameter δ on normalized current versus diffusion parameter λ.
Figure 8. established that the relation between the normalized current and the saturation parameter δ depends on the diffusion parameter λ. If the amount of saturation parameter δ rises, then the concentration level decreases and reaches the steady state. That means, the concentration of current inversely proportional to the saturation parameter δ.
6. Conclusion
A mathematical model of the facilitated diffusion of a planar electrode in a nonlinear process at an electroactive polymer film is discussed in this work. The approximate analytical formulation of concentrations is achieved using Homotopy Analysis Method and Exp-Function Method. The substrate concentration of planar electrode in the electroactive film has been examined employing our analytical results for a range of parameter values. These two analytical techniques are also examined with Matlab solution. Homotopy Analysis Method prevails over the Exp-Function Method in terms of efficiency and leads to a highly satisfactory result. Non-steady state scenarios are also possible to resolved with these methods as well. Furthermore, the outcome of this research offers the prospect of developing the approach in order to obtain an approximation of substrate concentrations and normalized flux for various electrode geometries.
Abbreviations

HAM

Homotopy Analysis Method

EFM

Exp-Function Method

Author Contributions
Uma Andiappan: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Swaminathan Rajagopal: Conceptualization, Formal Analysis, Project administration, Resources, Supervision, Validation, Visualization
Conflicts of Interest
The authors declare no conflicts of interest.
References
[1] Lyons, M. E. G. Electroactive Polymer Electrochemistry Part I, Fundamentals, (Plenum Press) Springer Publications, New York. 1994, XIV(488), 237-374.
[2] Lyons, M. E. G. Electroactive Polymer Electrochemistry: Fundamentals, Part II, (Plenum Press) Springer Publications, New York. 1994; 1-235.
[3] Lyons, M. E. G. Electrocatalysis using electroactive polymers, electroactive composites and micro heterogeneous systems. Analyst, 1994, 119(5), 805-826.
[4] Lyons, M. E. G., Transport and kinetics in electroactive polymers. Advances in chemical physics. 1996, 94, 297-624.
[5] Rajendran, L., Swaminathan, R., Chitra Devi, M. A closer look of Nonlinear reaction diffusion equations, Nova Publisher. New York, 2020.
[6] Hillman, A. R., Linford, R. G., Electrochemical Science and Technology of Polymers, Applied surface science. 1987, 103-291.
[7] Lyons, M. E. G., Greer, J. C., Fitzgerland, C. A., Bannon, T., Barlett, P. N. Reactional diffusion with Nlichaelis-Menten kinetics in electroactive polymer films part 1 the steady state amperometric response, Analyst. 1996, 121, 715-731.
[8] Evans, G. P. The electrochemistry of conducting polymers, In Advances in Electrochemical Science and Engineering. 1990, 1, 1-74.
[9] Rahamathunissa, G., Rajendran, L. Modeling of nonlinear reaction-diffusion processes of amperometric polymer-modified electrodes, Journal of Theory and Computational Chemistry. 2008, 7(1), 113-138.
[10] Wring, S. A., Hart, J. P. Chemically Modified Carbon-Based Electrodes and Their Application as Electrochemical Sensors for the Analysis of Biologically Important Compounds, Analyst. 1992, 117(8), 1215-1229.
[11] Albery, W. J., Hillman, A. R. Modified electrodes, Annual report section: Physical chemistry. 1981, 78, 77-437.
[12] Albery, W. J., Gass, A. E. G., Shu, Z. X. Inhibited enzyme electrodes part 1: Theoretical model, Biosensors and Bioelectronics. 1990, 5, 367-378.
[13] Albery, W. J., Gass, A. E. G., Shu, Z. X. Inhibited enzyme electrodes Part II: Theoretical model, Biosensors and Bioelectronics. 1990, 5(5), 379-395.
[14] Rajendran, L. Analytical Solution for the steady state Chronoamperometric current for an EC’ reaction at spheroidal ultra-micro electrodes, Journal of theoretical and computational chemistry. 2006, 5(1), 11-24.
[15] Swaminathan, R., Venugopal, K., Rasi, M., Abukhaled, M., Rajendran, L. Analytical expressions for the concentration and current in the reduction of hydrogen peroxide at a metal dispersed conducting polymer film, Quimica Nova. 2020, 43, 58-65.
[16] Pirabaharan, P., Chitra Devi, M., Swaminathan, R., Rajendran, L., Lyons, M. E. G. Modelling the current Response and Sensitivity of Oxidase Enzyme Electrodes, Monitored Amperometrically by the consumption of Oxygen, Journal of electrochemistry. 2022, 3(2), 309-321.
[17] Dharmalingam, K. M., Veeramuni, M. Analytical solution of electroactive polymer film using Agbari Ganji method, Journal of electroanalytical chemistry. 2019; 844: 1-55.
[18] Usha Rani, R., Rajendran, L. Taylor series method for solving nonlinear reaction diffusion equation in the electroactive polymer film, Chemical physics letter. 2020, 754, 137573.
[19] Rekha, S., Usha Rani, R., Rajendran, L., Lyons, M. E. G. A new method to study the nonlinear reaction diffusion process in the electroactive polymer film using hyperbolic function method, International journal of electrochemical science. 2022, 17, 221261.
[20] Lyons, M. E. G., Bannon, T., Hinds, G., Rebouillt, S. Reaction/Diffusion with Michaeli’s Menten kinetics in electroactive polymer films Part 1. The transient amerometric response, Analyst. 1998, 123, 1947-1959.
[21] Swaminathan R., Saravanakumar R., Venugopal K., Rajendarn. Analytical solution of nonlinear problems in homogeneous reactions occur in the mass transfer boundary layer: Homotopy perturbation method, International journal electrochemical science. 2001, 16, 210644.
[22] Swaminathan, R., Lakshmi Narayanan, K., Mohan, V., Saranya, K., Rajendran, L. Reaction diffusion equation with michalei’s Menten kinetics in micro disk biosensor: Homotopy perturbation method, International journal of electrochemical science. 2019, 14(4), 3777-3794.
[23] Reena A., Karpagavalli S., Rajendran L., Manimegali B., Swaminathan R. Theoretical analysis of putrescine enzymatic biosensor with optical oxygen transducer in sensitive layer using Akbari Ganji Method, International journal of electrochemical science. 2023, 18(5), 100113.
[24] Ranjani, K., Swaminathan, R., Karpagavalli, S. Mathematical Modelling of a mono enzyme dual amperometric biosensor for enzyme-catalyzed reactions using homotopy analysis method and Akbari Ganji Method, International journal of electrochemical science. 2023, 18(9), 100220.
[25] Lyons, M. E. G., Michas, A., Barlett, P. N. Amperometric chemical sensors using micro heterogeneous system, Analyst. 1992, 117(8), 1271-1280.
[26] Liao, S. J. On the homotopy analysis method for nonlinear problems, Applied Mathematics and Computation. 2004, 147(2), 499-513.
[27] Liao, SJ. Comparison between the homotopy analysis method and homotopy perturbation method. Applied Mathematics and Computation. 2005; 169(2): 1186 – 1194.
[28] Liao, SJ. Homotopy Analysis Method: A new analytic method for nonlinear problems, Applied Mathematics and Mechanics. 1998, 19(10), 957-962.
[29] Liao, SJ. and Antonio Campo. Analytic solutions of the temperature distribution in Blasius viscous flow problems, Journal of Fluid Mechanics. 2002, 453, 411-425.
[30] Liao, SJ. An optimal homotopy analysis approach for strongly nonlinear differential equations, Communications in nonlinear science and Numerical simulation. 2010, 15(8), 2003-2016.
[31] He, J. H., Hong, Wu X. Exp-Function Method for nonlinear wave equations, Chaos Solitons and. Fractals. 2006, 30(3), 700-708.
[32] Bekir, A., Boz, A. Exact solutions for nonlinear evolution equations using Exp-Function Method, Physics Letter A. 2008, 372(10), 1619-1625.
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    Andiappan, U., Rajagopal, S. (2024). Mathematical Modeling of Reaction Diffusion Equation for Facilitated Emigration of Planar Electrode in a Non-Linear Process at Electroactive Polymer Film. Applied and Computational Mathematics, 13(6), 236-244. https://doi.org/10.11648/j.acm.20241306.13

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    Andiappan, U.; Rajagopal, S. Mathematical Modeling of Reaction Diffusion Equation for Facilitated Emigration of Planar Electrode in a Non-Linear Process at Electroactive Polymer Film. Appl. Comput. Math. 2024, 13(6), 236-244. doi: 10.11648/j.acm.20241306.13

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    AMA Style

    Andiappan U, Rajagopal S. Mathematical Modeling of Reaction Diffusion Equation for Facilitated Emigration of Planar Electrode in a Non-Linear Process at Electroactive Polymer Film. Appl Comput Math. 2024;13(6):236-244. doi: 10.11648/j.acm.20241306.13

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  • @article{10.11648/j.acm.20241306.13,
      author = {Uma Andiappan and Swaminathan Rajagopal},
      title = {Mathematical Modeling of Reaction Diffusion Equation for Facilitated Emigration of Planar Electrode in a Non-Linear Process at Electroactive Polymer Film
    },
      journal = {Applied and Computational Mathematics},
      volume = {13},
      number = {6},
      pages = {236-244},
      doi = {10.11648/j.acm.20241306.13},
      url = {https://doi.org/10.11648/j.acm.20241306.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20241306.13},
      abstract = {In this article, we propose a simple and effective methods to resolve the reaction diffusion equation for facilitated emigration of planar electrode in a steady state non-linear process that arises in the context of the electroactive polymer film. The mathematical modeling presented here suggest a substrate and an immobilized catalyst form a complex. By applying the two effective analytical approach namely Homotopy Analysis Method and Exp-Function Method, an approximate analytical expression for the substrate concentration for planar electrode is established. Moreover, the analytical approach of the current for the experimental outcomes is established. The efficiency of the methods is demonstrated by contrasting the numerical simulation with the Analytical findings. The derived analytical outcomes are compared with numerical data which is obtained by using Matlab software and it is transpires that they correspond adequately. Also the comparison of computational outcomes with dimensionless concentration of planar electrode substrate in its analytical representation established in table. In these table results depicts for different amount of reaction and diffusion parameters our new result agree rather well with the numerical findings. The error percentage of our results employing Homotopy Analysis Method and Exp-Function Method with numerical results presented. The solution is also graphically presented. It provides a satisfactory agreement for all parameter setting under comparison.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Mathematical Modeling of Reaction Diffusion Equation for Facilitated Emigration of Planar Electrode in a Non-Linear Process at Electroactive Polymer Film
    
    AU  - Uma Andiappan
    AU  - Swaminathan Rajagopal
    Y1  - 2024/12/30
    PY  - 2024
    N1  - https://doi.org/10.11648/j.acm.20241306.13
    DO  - 10.11648/j.acm.20241306.13
    T2  - Applied and Computational Mathematics
    JF  - Applied and Computational Mathematics
    JO  - Applied and Computational Mathematics
    SP  - 236
    EP  - 244
    PB  - Science Publishing Group
    SN  - 2328-5613
    UR  - https://doi.org/10.11648/j.acm.20241306.13
    AB  - In this article, we propose a simple and effective methods to resolve the reaction diffusion equation for facilitated emigration of planar electrode in a steady state non-linear process that arises in the context of the electroactive polymer film. The mathematical modeling presented here suggest a substrate and an immobilized catalyst form a complex. By applying the two effective analytical approach namely Homotopy Analysis Method and Exp-Function Method, an approximate analytical expression for the substrate concentration for planar electrode is established. Moreover, the analytical approach of the current for the experimental outcomes is established. The efficiency of the methods is demonstrated by contrasting the numerical simulation with the Analytical findings. The derived analytical outcomes are compared with numerical data which is obtained by using Matlab software and it is transpires that they correspond adequately. Also the comparison of computational outcomes with dimensionless concentration of planar electrode substrate in its analytical representation established in table. In these table results depicts for different amount of reaction and diffusion parameters our new result agree rather well with the numerical findings. The error percentage of our results employing Homotopy Analysis Method and Exp-Function Method with numerical results presented. The solution is also graphically presented. It provides a satisfactory agreement for all parameter setting under comparison.
    
    VL  - 13
    IS  - 6
    ER  - 

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Author Information
  • PG & Research Department of Mathematics, Vidhyaa Giri College of Arts and Science (Affiliated to Alagappa University), Puduvayal, India

    Research Fields: Mathematical Modeling, Non Linear Differential Equations, Bound-ary Value Problems, Analytical Methods, Reaction Diffusion Pro-cess in Chemical Sciences

  • PG & Research Department of Mathematics, Vidhyaa Giri College of Arts and Science (Affiliated to Alagappa University), Puduvayal, India

    Research Fields: Mathematical Modeling, Differential Equations, Analytical Methods, Numerical Simulations, Initial and Boundary value problems