Impact of different nanofluid injection models on thermal damage behavior during magnetic hyperthermia

Y Yundong Tang (College of Physics and Information Engineering, Fuzhou University 1 , Fuzhou 350108,) R Rodolfo C. C. Flesch (Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina 2 , 88040-900 Florianópolis, SC,) T Tao Jin (Department of Chemistry, University of Basel, St. Johanns-Ring 19, Basel 4056, Switzerland)

Abstract

To simplify modeling, the nanofluid concentration distribution inside the tumor was generally presented in the form of a circular magnetic nanoparticles (MNPs) core or a given ideal shape, but not a more actual situation by injection behavior modeling in previous studies. This study first establishes the nanofluid injection models with and without backflow before therapy in order to obtain the corresponding concentration distribution within the malignant region and then explores the impact of different injection behaviors on both therapeutic temperature and heat-induced damage for biological tissue during magnetic nanofluid hyperthermia. Furthermore, the influence of diffusion behavior after the nanofluid injection on the therapeutic effect is also taken into consideration, and the impact of this behavior on hyperthermia will also be investigated in this study. The analysis results reveal that the injection model with backflow can not only lead to a better magnetic fluid distribution but also a better therapeutic temperature and heat-induced damage for biological tissue with respect to the ideal case. In addition, the prolonged diffusion after the nanofluid injection can effectively improve the therapeutic effect after combining a proper heat generation for MNPs during magnetic hyperthermia.

Article Details

Volume / Issue Vol. 138, Issue 12
Published September 28, 2025
ISSN 0021-8979
Publisher American Institute of Physics

Journal Info

Journal of Applied Physics

American Institute of Physics

ISSN: 0021-8979 Physical Sciences

Authors (3)

Y

Yundong Tang

College of Physics and Information Engineering, Fuzhou University 1 , Fuzhou 350108,

R

Rodolfo C. C. Flesch

Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina 2 , 88040-900 Florianópolis, SC,

T

Tao Jin

Department of Chemistry, University of Basel, St. Johanns-Ring 19, Basel 4056, Switzerland