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Modelling of Dynamic Behaviour in Magnetic Nanoparticles
The efficient development and utilisation of magnetic nanoparticles (MNPs) for applications in enhanced biosensing relies on the use of magnetisation dynamics, which are primarily governed by the time-dependent motion of the magnetisation due to externally applied magnetic fields. An accurate descri...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708731/ https://www.ncbi.nlm.nih.gov/pubmed/34947745 http://dx.doi.org/10.3390/nano11123396 |
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author | Rietberg, Max Tigo Waanders, Sebastiaan Horstman-van de Loosdrecht, Melissa Mathilde Wildeboer, Rogier R. ten Haken, Bennie Alic, Lejla |
author_facet | Rietberg, Max Tigo Waanders, Sebastiaan Horstman-van de Loosdrecht, Melissa Mathilde Wildeboer, Rogier R. ten Haken, Bennie Alic, Lejla |
author_sort | Rietberg, Max Tigo |
collection | PubMed |
description | The efficient development and utilisation of magnetic nanoparticles (MNPs) for applications in enhanced biosensing relies on the use of magnetisation dynamics, which are primarily governed by the time-dependent motion of the magnetisation due to externally applied magnetic fields. An accurate description of the physics involved is complex and not yet fully understood, especially in the frequency range where Néel and Brownian relaxation processes compete. However, even though it is well known that non-zero, non-static local fields significantly influence these magnetisation dynamics, the modelling of magnetic dynamics for MNPs often uses zero-field dynamics or a static Langevin approach. In this paper, we developed an approximation to model and evaluate its performance for MNPs exposed to a magnetic field with varying amplitude and frequency. This model was initially developed to predict superparamagnetic nanoparticle behaviour in differential magnetometry applications but it can also be applied to similar techniques such as magnetic particle imaging and frequency mixing. Our model was based upon the Fokker–Planck equations for the two relaxation mechanisms. The equations were solved through numerical approximation and they were then combined, while taking into account the particle size distribution and the respective anisotropy distribution. Our model was evaluated for Synomag(®)-D70, Synomag(®)-D50 and SHP-15, which resulted in an overall good agreement between measurement and simulation. |
format | Online Article Text |
id | pubmed-8708731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87087312021-12-25 Modelling of Dynamic Behaviour in Magnetic Nanoparticles Rietberg, Max Tigo Waanders, Sebastiaan Horstman-van de Loosdrecht, Melissa Mathilde Wildeboer, Rogier R. ten Haken, Bennie Alic, Lejla Nanomaterials (Basel) Article The efficient development and utilisation of magnetic nanoparticles (MNPs) for applications in enhanced biosensing relies on the use of magnetisation dynamics, which are primarily governed by the time-dependent motion of the magnetisation due to externally applied magnetic fields. An accurate description of the physics involved is complex and not yet fully understood, especially in the frequency range where Néel and Brownian relaxation processes compete. However, even though it is well known that non-zero, non-static local fields significantly influence these magnetisation dynamics, the modelling of magnetic dynamics for MNPs often uses zero-field dynamics or a static Langevin approach. In this paper, we developed an approximation to model and evaluate its performance for MNPs exposed to a magnetic field with varying amplitude and frequency. This model was initially developed to predict superparamagnetic nanoparticle behaviour in differential magnetometry applications but it can also be applied to similar techniques such as magnetic particle imaging and frequency mixing. Our model was based upon the Fokker–Planck equations for the two relaxation mechanisms. The equations were solved through numerical approximation and they were then combined, while taking into account the particle size distribution and the respective anisotropy distribution. Our model was evaluated for Synomag(®)-D70, Synomag(®)-D50 and SHP-15, which resulted in an overall good agreement between measurement and simulation. MDPI 2021-12-15 /pmc/articles/PMC8708731/ /pubmed/34947745 http://dx.doi.org/10.3390/nano11123396 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rietberg, Max Tigo Waanders, Sebastiaan Horstman-van de Loosdrecht, Melissa Mathilde Wildeboer, Rogier R. ten Haken, Bennie Alic, Lejla Modelling of Dynamic Behaviour in Magnetic Nanoparticles |
title | Modelling of Dynamic Behaviour in Magnetic Nanoparticles |
title_full | Modelling of Dynamic Behaviour in Magnetic Nanoparticles |
title_fullStr | Modelling of Dynamic Behaviour in Magnetic Nanoparticles |
title_full_unstemmed | Modelling of Dynamic Behaviour in Magnetic Nanoparticles |
title_short | Modelling of Dynamic Behaviour in Magnetic Nanoparticles |
title_sort | modelling of dynamic behaviour in magnetic nanoparticles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708731/ https://www.ncbi.nlm.nih.gov/pubmed/34947745 http://dx.doi.org/10.3390/nano11123396 |
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