Towards improved magnetic fluid hyperthermia: major-loops to diminish variations in local heating
Loading...
Identifiers
Publication date
Advisors
Tutors
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Royal Society of Chemistry
Abstract
In the context of using magnetic nanoparticles for heat-mediated applications, the need of an accurate knowledge of the local (at the nanoparticle level) heat generation in addition to the usually studied global counterpart has been recently highlighted. Such a need requires accurate knowledge of the links among the intrinsic particle properties, system characteristics and experimental conditions. In this work we have investigated the role of the particles' anisotropy polydispersity in relation to the amplitude (Hmax) of the AC magnetic field using a Monte Carlo technique. Our results indicate that it is better to use particles with large anisotropy for enhancing global heating, whereas for achieving homogeneous local heating it is better to use lower anisotropy particles. The latter ensures that most of the system undergoes major-loop hysteresis conditions, which is the key-point. This is equivalent to say that low-anisotropy particles (i.e. with less heating capability) may be better for accurate heat-mediated applications, which goes against some research trends in the literature that seek for large anisotropy (and hence heating) values
Description
This is the accepted manuscript of the following citation: Munoz-Menendez, C., Serantes, D., Ruso, J., & Baldomir, D. (2017). Towards improved magnetic fluid hyperthermia: major-loops to diminish variations in local heating. Physical Chemistry Chemical Physics, 19(22), 14527-14532. doi: 10.1039/c7cp01442b
Bibliographic citation
Munoz-Menendez, C., Serantes, D., Ruso, J., & Baldomir, D. (2017). Towards improved magnetic fluid hyperthermia: major-loops to diminish variations in local heating. Physical Chemistry Chemical Physics, 19(22), 14527-14532. doi: 10.1039/c7cp01442b
Relation
Has part
Has version
Is based on
Is part of
Is referenced by
Is version of
Requires
Publisher version
https://doi.org/10.1039/c7cp01442bSponsors
The authors thank the Centro de Supercomputacio ´n de Galicia (CESGA) for the computational facilities. This work was co-financed by the Spanish MINECO (Project MAT2013-47078-C22-P), Xunta de Galicia, Spain (Project GRC 2014/013, ‘Programa de axudas a ´ etapa predoutoral’ and financial support of D.S. under Plan I2C) and ‘Fondo Social Europeo 2014/2020’
Rights
© Royal Society of Chemistry 2017








