Numerical model for determining the magnetic loss of magnetic fluids

Miloš Beković*, Mislav Trbušić, Sašo Gyergyek, Mladen Trlep, Marko Jesenik, Peter S. B. Szabo, Anton Hamler

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
50 Downloads (Pure)

Abstract

Magnetic fluid hyperthermia (MFH) is a medical treatment where the temperature in the tissue is increased locally by means of heated magnetic fluid in an alternating magnetic field. In recent years, it has been the subject of a lot of research in the field of Materials, as well as in the field of clinical testing on mice and rats. Magnetic fluid manufacturers aim to achieve three objectives; high heating capacity, biocompatibility and self-regulatory temperature effect. High heating power presents the conversion of magnetic field energy into temperature increase where it is challenging to achieve the desired therapeutic effects in terms of elevated temperature with the smallest possible amount of used material. In order to carry out the therapy, it is primarily necessary to create a fluid and perform calorimetric measurement for determining the Specific Absorption Rate (SAR) or heating power for given parameters of the magnetic field. The article presents a model based on a linear response theory for the calculation of magnetic losses and, consequently, the SAR parameters are based on the physical parameters of the liquid. The calculation model is also validated by calorimetric measurements for various amplitudes, frequencies and shapes of the magnetic field. Such a model can serve to help magnetic fluid developers in the development phase for an approximate assessment of the heating power.

Original languageEnglish
Article number591
JournalMaterials
Volume12
Issue number4
DOIs
Publication statusPublished - 16 Feb 2019

Keywords

  • Linear response theory
  • Loss model
  • Magnetic fluid
  • Specific absorption rate

ASJC Scopus subject areas

  • General Materials Science

Fingerprint

Dive into the research topics of 'Numerical model for determining the magnetic loss of magnetic fluids'. Together they form a unique fingerprint.

Cite this