Nanoparticle Size Threshold for Magnetic Agglomeration and Associated Hyperthermia Performance

The likelihood of magnetic nanoparticles to agglomerate is usually estimated through the ratio between magnetic dipole-dipole and thermal energies, thus neglecting the fact that, depending on the magnitude of the magnetic anisotropy constant (<i>K</i>), the particle moment may fluctuate...

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Autores principales:	David Serantes, Daniel Baldomir
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	magnetic nanoparticles magnetic agglomeration magnetic hyperthermia Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/a8fd48f9fed24b9e96fa4a83a275f7d6
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spelling	oai:doaj.org-article:a8fd48f9fed24b9e96fa4a83a275f7d62021-11-25T18:29:48ZNanoparticle Size Threshold for Magnetic Agglomeration and Associated Hyperthermia Performance10.3390/nano111127862079-4991https://doaj.org/article/a8fd48f9fed24b9e96fa4a83a275f7d62021-10-01T00:00:00Zhttps://www.mdpi.com/2079-4991/11/11/2786https://doaj.org/toc/2079-4991The likelihood of magnetic nanoparticles to agglomerate is usually estimated through the ratio between magnetic dipole-dipole and thermal energies, thus neglecting the fact that, depending on the magnitude of the magnetic anisotropy constant (<i>K</i>), the particle moment may fluctuate internally and thus undermine the agglomeration process. Based on the comparison between the involved timescales, we study in this work how the threshold size for magnetic agglomeration (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>d</mi><mrow><mi>a</mi><mi>g</mi><mi>g</mi><mi>l</mi></mrow></msub></semantics></math></inline-formula>) varies depending on the <i>K</i> value. Our results suggest that small variations in <i>K</i>-due to, e.g., shape contribution, might shift <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>d</mi><mrow><mi>a</mi><mi>g</mi><mi>g</mi><mi>l</mi></mrow></msub></semantics></math></inline-formula> by a few nm. A comparison with the usual <i>superparamagnetism</i> estimation is provided, as well as with the energy competition approach. In addition, based on the key role of the anisotropy in the hyperthermia performance, we also analyse the associated heating capability, as non-agglomerated particles would be of high interest for the application.David SerantesDaniel BaldomirMDPI AGarticlemagnetic nanoparticlesmagnetic agglomerationmagnetic hyperthermiaChemistryQD1-999ENNanomaterials, Vol 11, Iss 2786, p 2786 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	magnetic nanoparticles magnetic agglomeration magnetic hyperthermia Chemistry QD1-999
spellingShingle	magnetic nanoparticles magnetic agglomeration magnetic hyperthermia Chemistry QD1-999 David Serantes Daniel Baldomir Nanoparticle Size Threshold for Magnetic Agglomeration and Associated Hyperthermia Performance
description	The likelihood of magnetic nanoparticles to agglomerate is usually estimated through the ratio between magnetic dipole-dipole and thermal energies, thus neglecting the fact that, depending on the magnitude of the magnetic anisotropy constant (<i>K</i>), the particle moment may fluctuate internally and thus undermine the agglomeration process. Based on the comparison between the involved timescales, we study in this work how the threshold size for magnetic agglomeration (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>d</mi><mrow><mi>a</mi><mi>g</mi><mi>g</mi><mi>l</mi></mrow></msub></semantics></math></inline-formula>) varies depending on the <i>K</i> value. Our results suggest that small variations in <i>K</i>-due to, e.g., shape contribution, might shift <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>d</mi><mrow><mi>a</mi><mi>g</mi><mi>g</mi><mi>l</mi></mrow></msub></semantics></math></inline-formula> by a few nm. A comparison with the usual <i>superparamagnetism</i> estimation is provided, as well as with the energy competition approach. In addition, based on the key role of the anisotropy in the hyperthermia performance, we also analyse the associated heating capability, as non-agglomerated particles would be of high interest for the application.
format	article
author	David Serantes Daniel Baldomir
author_facet	David Serantes Daniel Baldomir
author_sort	David Serantes
title	Nanoparticle Size Threshold for Magnetic Agglomeration and Associated Hyperthermia Performance
title_short	Nanoparticle Size Threshold for Magnetic Agglomeration and Associated Hyperthermia Performance
title_full	Nanoparticle Size Threshold for Magnetic Agglomeration and Associated Hyperthermia Performance
title_fullStr	Nanoparticle Size Threshold for Magnetic Agglomeration and Associated Hyperthermia Performance
title_full_unstemmed	Nanoparticle Size Threshold for Magnetic Agglomeration and Associated Hyperthermia Performance
title_sort	nanoparticle size threshold for magnetic agglomeration and associated hyperthermia performance
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a8fd48f9fed24b9e96fa4a83a275f7d6
work_keys_str_mv	AT davidserantes nanoparticlesizethresholdformagneticagglomerationandassociatedhyperthermiaperformance AT danielbaldomir nanoparticlesizethresholdformagneticagglomerationandassociatedhyperthermiaperformance
_version_	1718411097002737664

Nanoparticle Size Threshold for Magnetic Agglomeration and Associated Hyperthermia Performance

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