Magnetic dynamics of aggregates of magnetic nanoparticles and its influences in the efficiency of magneto-hyperthermia
The applications of nanoparticles in medicine are vast, such as: drug delivery and markers for imaging exams. Beside these applications, these nanoparticles have been used for cancer treatment through magnetic-hyperthermia, because in nanoscale and under the action of a high frequency magnetic field these nanoparticles release heat in the local, this technique is known as magneto-hyperthermia. The optimization of this heat dissipation process in order to enhance the efficiency of cell death rate is an open problem. Previous studies have shown that this is a multifactorial problem, there are influences of the magnetic anisotropy of nanoparticles, external field parameters and aggregation/agglomeration effects. Computational simulations can help in a more systematic study of these different factors, in this work we developed an algorithm that simulates the magnetic dynamics of poli-disperse and aggregates nanoparticles. This algorithm was based in the Stoner-Wohlfarth model together with kinetic Monte-Carlo equations. The model validation was made through comparison between experimental and simulation results.