Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11026352 | Journal of Magnetism and Magnetic Materials | 2019 | 16 Pages |
Abstract
Magnetic nanoparticles (MNP) have been investigated for generating therapeutic heat when subjected to an alternating magnetic field (AMF) and applied for tumor-confined cancer therapy, so-called magnetic fluid hyperthermia (MFH). For application of MFH, a key requirement is the reduction of MNP dosing by maximizing the heat generation within medically safe limits of the applied AMF. Therefore, reliable and accurate predictions of particle heating are required for the advancement of therapy planning. In this study, we compare size-dependent particle heating data from calorimetric measurements to stochastic Néel-Brown Langevin equation Monte Carlo simulations, finding good agreement between them for various AMF amplitudes and frequencies. Within medical safety constraints of the AMF, our simulations predict maximum particle heating for magnetite particle core sizes above 25â¯nm with effective anisotropy constants K=4000â¯J/m3 at frequencies of â¼100â¯kHz and field amplitudes â¼10â¯mT/μ0. These simulations could help to predict the optimal combination of medically safe AMF parameters and MNP intrinsic properties, such as core size and effective anisotropy, to maximize heat generation and reduce MNP dosing in the application of MFH.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Condensed Matter Physics
Authors
Ulrich M. Engelmann, Carolyn Shasha, Eric Teeman, Ioana Slabu, Kannan M. Krishnan,