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Research Article | Open Access

Fractional Beer-Lambert law in laser heating of biological tissue

Carlos Lizama1( )Marina Murillo-Arcila2Macarena Trujillo3
Departamento de Matemática y Ciencia de la Computación, Facultad de Ciencias, Universidad de Santiago de Chile, Santiago, Chile
Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Valencia, Spain
BioMIT, Department of Applied Mathematics, Universitat Politècnica de València, Valencia, Spain
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Abstract

In this article we propose an alternative formulation to model a thermal-optical coupled problem involving laser heating. We show that by using the Fractional Beer-Lambert Law (FBLL) instead of the Beer-Lambert Law (BLL) as the governing equation of the optical problem, the formulation of the laser heat source changes, along with consequently, the distribution of temperatures. Our theoretical findings apply to laser thermal keratoplasty (LTK), used to reduce diopters of hyperopia. We show that the FBLL offers a new approach for heat conduction modeling of laser heating, which is more flexible and could better fit the data in cases where the BLL approach does not fit the data well. Our results can be extended to laser heating of other biological tissues and in other general applications. Our findings imply a new insight to improve the accuracy of thermal models, since they involve a new formulation of the external heat source rather than the heat equation itself.

CLC number: 44A10, 35R11, 26A33, 35A22, 92B05

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AIMS Mathematics
Pages 14444-14459

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Cite this article:
Lizama C, Murillo-Arcila M, Trujillo M. Fractional Beer-Lambert law in laser heating of biological tissue. AIMS Mathematics, 2022, 7(8): 14444-14459. https://doi.org/10.3934/math.2022796

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Received: 15 April 2022
Revised: 24 May 2022
Accepted: 26 May 2022
Published: 15 August 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)