Influence of the magnetic nanoparticle coating on the magnetic relaxation time
Colloidal systems consisting of monodomain superparamagnetic nanoparticles have been used in biomedical applications, such as the hyperthermia treatment for cancer. In this type of colloid, called a nanofluid, the nanoparticles tend to agglomeration. It has been shown experimentally that the nanopar...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Beilstein-Institut
2020-08-01
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Series: | Beilstein Journal of Nanotechnology |
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Online Access: | https://doi.org/10.3762/bjnano.11.105 |
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author | Mihaela Osaci Matteo Cacciola |
author_facet | Mihaela Osaci Matteo Cacciola |
author_sort | Mihaela Osaci |
collection | DOAJ |
description | Colloidal systems consisting of monodomain superparamagnetic nanoparticles have been used in biomedical applications, such as the hyperthermia treatment for cancer. In this type of colloid, called a nanofluid, the nanoparticles tend to agglomeration. It has been shown experimentally that the nanoparticle coating plays an important role in the nanoparticle dispersion stability and biocompatibility. However, theoretical studies in this field are lacking. In addition, the ways in which the nanoparticle coating influences the magnetic properties of the nanoparticles are not yet understood. In order to fill in this gap, this study presents a numerical simulation model that elucidates how the nanoparticle coating affects the nanoparticle agglomeration tendency as well as the effective magnetic relaxation time of the system. To simulate the self-organization of the colloidal nanoparticles, a stochastic Langevin dynamics method was applied based on the effective Verlet-type algorithm. The Néel magnetic relaxation time was obtained via the Coffey method in an oblique magnetic field, adapted to the local magnetic field on a nanoparticle. |
first_indexed | 2024-12-19T04:07:11Z |
format | Article |
id | doaj.art-994423a47e1243fca0c0e43c3a33cb0f |
institution | Directory Open Access Journal |
issn | 2190-4286 |
language | English |
last_indexed | 2024-12-19T04:07:11Z |
publishDate | 2020-08-01 |
publisher | Beilstein-Institut |
record_format | Article |
series | Beilstein Journal of Nanotechnology |
spelling | doaj.art-994423a47e1243fca0c0e43c3a33cb0f2022-12-21T20:36:29ZengBeilstein-InstitutBeilstein Journal of Nanotechnology2190-42862020-08-011111207121610.3762/bjnano.11.1052190-4286-11-105Influence of the magnetic nanoparticle coating on the magnetic relaxation timeMihaela Osaci0Matteo Cacciola1“Politehnica” University of Timisoara, Department of Electrical Engineering and Industrial Informatics, 2 Victoriei Square, 300006 Timisoara, Timis County, RomaniaCooperativa TEC, Via Nazionale, n. 439, 89134 Pellaro di Reggio Calabria, ItalyColloidal systems consisting of monodomain superparamagnetic nanoparticles have been used in biomedical applications, such as the hyperthermia treatment for cancer. In this type of colloid, called a nanofluid, the nanoparticles tend to agglomeration. It has been shown experimentally that the nanoparticle coating plays an important role in the nanoparticle dispersion stability and biocompatibility. However, theoretical studies in this field are lacking. In addition, the ways in which the nanoparticle coating influences the magnetic properties of the nanoparticles are not yet understood. In order to fill in this gap, this study presents a numerical simulation model that elucidates how the nanoparticle coating affects the nanoparticle agglomeration tendency as well as the effective magnetic relaxation time of the system. To simulate the self-organization of the colloidal nanoparticles, a stochastic Langevin dynamics method was applied based on the effective Verlet-type algorithm. The Néel magnetic relaxation time was obtained via the Coffey method in an oblique magnetic field, adapted to the local magnetic field on a nanoparticle.https://doi.org/10.3762/bjnano.11.105colloidal systemeffective verlet-type algorithmmagnetic relaxation timenanoparticle coatingnumerical simulationstochastic langevin dynamics methodsuperparamagnetic nanoparticles |
spellingShingle | Mihaela Osaci Matteo Cacciola Influence of the magnetic nanoparticle coating on the magnetic relaxation time Beilstein Journal of Nanotechnology colloidal system effective verlet-type algorithm magnetic relaxation time nanoparticle coating numerical simulation stochastic langevin dynamics method superparamagnetic nanoparticles |
title | Influence of the magnetic nanoparticle coating on the magnetic relaxation time |
title_full | Influence of the magnetic nanoparticle coating on the magnetic relaxation time |
title_fullStr | Influence of the magnetic nanoparticle coating on the magnetic relaxation time |
title_full_unstemmed | Influence of the magnetic nanoparticle coating on the magnetic relaxation time |
title_short | Influence of the magnetic nanoparticle coating on the magnetic relaxation time |
title_sort | influence of the magnetic nanoparticle coating on the magnetic relaxation time |
topic | colloidal system effective verlet-type algorithm magnetic relaxation time nanoparticle coating numerical simulation stochastic langevin dynamics method superparamagnetic nanoparticles |
url | https://doi.org/10.3762/bjnano.11.105 |
work_keys_str_mv | AT mihaelaosaci influenceofthemagneticnanoparticlecoatingonthemagneticrelaxationtime AT matteocacciola influenceofthemagneticnanoparticlecoatingonthemagneticrelaxationtime |