RT Journal Article
T1 Understanding magnetic hyperthermia performance within the “Brezovich criterion”: beyond the uniaxial anisotropy description
A1 Faílde, Daniel
A1 Ocampo-Zalvide, Víctor
A1 Serantes Abalo, David
A1 Iglesias, Òscar
AB Careful determination of the heating performance of magnetic nanoparticles under AC fields is critical for magnetic hyperthermia applications. However, most interpretations of experimental data are based on the uniaxial anisotropy approximation, which in the first instance can be correlated with the particle aspect ratio. This is to say, the intrinsic magnetocrystalline anisotropy is discarded, under the assumption that the shape contribution dominates. We show in this work that such a premise, generally valid for large field amplitudes, does not hold for describing hyperthermia experiments carried out under small field values. Specifically, given its relevance for in vivo applications, we focus our analysis on the so-called “Brezovich criterion”, H·f = 4.85 × 108 A m−1 s−1. By means of a computational model, we show that the intrinsic magnetocrystalline anisotropy plays a critical role in defining the heat output, determining also the role of the shape and aspect ratio of the particles on the SLP. Our results indicate that even small deviations from spherical shape have an important impact on optimizing the heating performance. The influence of interparticle interactions on the dissipated heat is also evaluated. Our results call, therefore, for an improvement in the theoretical models used to interpret magnetic hyperthermia performance.
PB Royal Society of Chemistry
YR 2024
FD 2024-07-04
LK https://hdl.handle.net/10347/37688
UL https://hdl.handle.net/10347/37688
LA eng
NO We acknowledge the financial support by Spanish Ministerio de Ciencia, Innovación y Universidades through projects PID2019-109514RJ-I00 and PID2021-127397NB-I00, “ERDF A way of making Europe”, by the “European Union” and Catalan DURSI (2021SGR0032). Xunta de Galicia is acknowledged for projects ED431F 2022/005 and ED431B 2023/055. AEI is also acknowledged for the Ramón y Cajal grant RYC2020-029822-I that supports the work of D. S. We also acknowledge the Centro de Supercomputacion de Galicia (CESGA) for computational resources.
DS Minerva
RD 4 may 2026