Magnetic hyperthermia properties of nanoparticles inside lysosomes using kinetic Monte-Carlo simulations : influence of key parameters, of dipolar interactions and spatial variation of heating power
R. P. Tan, J. Carrey, M. Respaud

TL;DR
This study uses kinetic Monte-Carlo simulations to analyze how dipolar interactions and key parameters affect the heating efficiency of magnetic nanoparticles inside lysosomes for hyperthermia therapy.
Contribution
It introduces a parallelizable kinetic Monte-Carlo algorithm that accurately models hysteresis loops and nanoparticle heating, considering dipolar interactions and biological environment effects.
Findings
Dipolar interactions increase coercive and saturation fields.
Heating power varies with concentration, sometimes increasing or decreasing.
Hysteresis area correlates with dipolar field alignment.
Abstract
Understanding the influence of dipolar interactions in magnetic hyperthermia (MH) experiments is of crucial importance for a fine optimization of nanoparticle (NP) heating power. In this study, we use a kinetic Monte-Carlo algorithm to calculate hysteresis loops, so both time and temperature are correctly taken into account. It is demonstrated that this algorithm correctly reproduces the high-frequency hysteresis loop of both superparamagnetic NPs and ferromagnetic ones without any ad-hoc parameters. The algorithm is easily parallelizable so calculation on several processors decreases considerably calculation time. The specific absorption rate (SAR) of NPs dispersed inside spherical lysosomes is studied as a function of several key parameters: volume concentration, applied magnetic field, lysosome size, NP diameter and anisotropy. The influence of these parameters is illustrated and…
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