Modeling of Temperature Distribution of Fe3O4 Nanoparticles for Oncological Therapy

Authors

  • Rosario Lissiet Romero Coripuna Universidad de Guanajuato, División de Ciencias e Ingenierías, Campus León
  • Teodoro Cordova Fraga Universidad de Guanajuato, División de Ciencias e Ingenierías, Campus León
  • Gustavo Basurto Islas Universidad de Guanajuato, División de Ciencias e Ingenierías, Campus León
  • Carlos Villaseñor Mora Universidad de Guanajuato, División de Ciencias e Ingenierías, Campus León
  • Rafael Guzman Cabrera Universidad de Guanajuato, División de Ingenierías, Campus Irapuato-Salamanca

DOI:

https://doi.org/10.13053/cys-22-4-2834

Keywords:

Cancer, temperature gradient, hyperthermia, COMSOL, nanoparticles

Abstract

Human cells with cancer undergo physiological changes at temperatures of 42 °C to 45 °C thereby causing cell death by apoptosis. The methods for achieving these temperatures have already been investigated because of their biomedical application. Magnetic Hyperthermia is an alternative oncology therapy, nevertheless, the temperature distribution in transformed tissue remains unclear at all and its determination in an optimal temperature segment from 42 oC to 45 oC is demanding an answer. COMSOL multiphysics 5.2 is an excellent alternative for giving the answer to the previous question. In this work was made a temperature simulation from several quantities of the nanoparticle. Preliminary results suggest that the temperature gradient drops dramatically as the number of nanoparticles decrease, so that the optimal temperature and nanoparticles number are sought to address efficiently the volume of transformed fabric of interest. As first conclusion, the above was achieved by obtaining the number of particles to be used and an effective separation distance.

Author Biography

Rafael Guzman Cabrera, Universidad de Guanajuato, División de Ingenierías, Campus Irapuato-Salamanca

Profesor Titular BDepartamento de Ingenieria Electrica

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Published

2018-12-30

Issue

Vol. 22 No. 4 (2018): Topic Trends in Computing Research (Guest Editors: A. Aguilar-Meléndez, E. Moya-Sánchez)

Section

Articles

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