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author:

Tang, Yundong (Tang, Yundong.) [1] | Flesch, Rodolfo C. C. (Flesch, Rodolfo C. C..) [2] | Jin, Tao (Jin, Tao.) [3]

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EI

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. © 2025 Author(s).

Keyword:

Diffusion in liquids Hyperthermia therapy Magnetic after effect Magnetic fluids Magnetic nanoparticles Nanofluidics Thermal modeling Tissue

Community:

  • [ 1 ] [Tang, Yundong]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Flesch, Rodolfo C. C.]Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina, SC, Florianópolis; 88040-900, Brazil
  • [ 3 ] [Jin, Tao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

Journal of Applied Physics

ISSN: 0021-8979

Year: 2025

Issue: 12

Volume: 138

2 . 7 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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