Estimating the heating of complex nanoparticle aggregates for magnetic hyperthermia
arXiv:2207.14551 · doi:10.1039/D3NR01269G
Abstract
Understanding and predicting the heat released by magnetic nanoparticles is central to magnetic hyperthermia treatment planning. These nanoparticles tend to form aggregates when injected in living tissues, which alters their response to the applied alternating magnetic field and prevents predicting the released heat accurately. We performed an in silico analysis to investigate the heat released by nanoparticle aggregates featuring different size and fractal geometry factors. By digitally mirroring aggregates seen in biological tissues, we found that the average heat released per particle stabilizes starting from moderately small aggregates, facilitating the estimates for their larger counterparts. Additionally, we studied the heating performance of particle aggregates over a wide range of fractal parameters. We compared this result with the heat released by non-interacting nanoparticles to quantify the reduction of heating power after being instilled into tissues. This set of results can be used to estimate the expected heating in vivo based on the experimentally determined nanoparticle properties.
arXiv comment8 pages, 5 figures
References in corpus (5)
- Simple models for dynamic hysteresis loops calculation: Application to hyperthermia optimization
- Adaptively time stepping the stochastic Landau-Lifshitz-Gilbert equation at nonzero temperature: implementation and validation in MuMax3
- Perspective: magnetic nanoparticles in theranostic applications
- Vinamax: a macrospin simulation tool for magnetic nanoparticles
- Tailoring defects and nanocrystal transformation for optimal heating power in bimagnetic particles