2023
DOI: 10.17485/ijst/v16i48.2113
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Fractional Order Mathematical Model to Investigate Topical Drug Diffusion in Human Skin

Kalyanrao Takale,
Uttam Kharde,
Geetanjali Takale

Abstract: Objectives:The primary objective of this research paper is to gain a comprehensive understanding of drug diffusion within the human dermal region. Methods: A temporal fractional-order reaction-diffusion equation with Caputo sense is employed to get mathematical insights on the diffusion of drugs in the human dermal region. The explicit finite difference method is employed to numerically solve the modelled problem. A Python-based algorithm is employed to obtain a numerical solution through the finite difference… Show more

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Cited by 2 publications
(4 citation statements)
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“…where, 𝐷 𝛼 𝑑 = πœ• 𝛼 πœ•π‘‘ 𝛼 , 𝑁 π‘₯ = πœ• πœ•π‘₯ and 𝐿 π‘₯ 𝑒 = βˆ’π‘Ž πœ• 2 𝑒 πœ•π‘₯ 2 +𝑏 πœ• 3 𝑒 πœ•π‘₯ 3 After applying the operator 𝐽 𝛼 on both sides of the above equations, we get…”
Section: The Fractional Adomian Decomposition Methodsmentioning
confidence: 99%
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“…where, 𝐷 𝛼 𝑑 = πœ• 𝛼 πœ•π‘‘ 𝛼 , 𝑁 π‘₯ = πœ• πœ•π‘₯ and 𝐿 π‘₯ 𝑒 = βˆ’π‘Ž πœ• 2 𝑒 πœ•π‘₯ 2 +𝑏 πœ• 3 𝑒 πœ•π‘₯ 3 After applying the operator 𝐽 𝛼 on both sides of the above equations, we get…”
Section: The Fractional Adomian Decomposition Methodsmentioning
confidence: 99%
“…(1,2) . Since many fractional order non-linear differential equations are not easy to solve, hence we prefer numerical methods like finite difference method (3) , Adomian Decomposition Method (4)(5)(6) and Homotopy Perturbation Method (7) which gives approximate solutions.…”
Section: Introductionmentioning
confidence: 99%
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“…To handle this, numerical methods are used to obtain solution of fractional differential equations (3) . Finite difference method is one of the widely used numerical method for solving differential equations in both one and multiple dimensions (4)(5)(6)(7) . They are particularly valuable when analytical solutions are not readily available or https://www.indjst.org/ practical.…”
Section: Introductionmentioning
confidence: 99%