Comparative Modeling of Frequency Mixing Measurements of Magnetic Nanoparticles Using Micromagnetic Simulations and Langevin Theory

Dual frequency magnetic excitation of magnetic nanoparticles (MNP) enables enhanced biosensing applications. This was studied from an experimental and theoretical perspective: nonlinear sum-frequency components of MNP exposed to dual-frequency magnetic excitation were measured as a function of stati...

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Main Authors: Ulrich M. Engelmann, Ahmed Shalaby, Carolyn Shasha, Kannan M. Krishnan, Hans-Joachim Krause
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Nanomaterials
Subjects:
Online Access:https://www.mdpi.com/2079-4991/11/5/1257
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spelling doaj-9e882706a0924c4fb33885892327dd872021-05-31T23:39:17ZengMDPI AGNanomaterials2079-49912021-05-01111257125710.3390/nano11051257Comparative Modeling of Frequency Mixing Measurements of Magnetic Nanoparticles Using Micromagnetic Simulations and Langevin TheoryUlrich M. Engelmann0Ahmed Shalaby1Carolyn Shasha2Kannan M. Krishnan3Hans-Joachim Krause4Department of Medical Engineering and Applied Mathematics, FH Aachen University of Applied Sciences, 52428 Jülich, GermanyDepartment of Medical Engineering and Applied Mathematics, FH Aachen University of Applied Sciences, 52428 Jülich, GermanyDepartment of Physics, University of Washington, Seattle, WA 98195, USADepartment of Physics, University of Washington, Seattle, WA 98195, USADepartment of Medical Engineering and Applied Mathematics, FH Aachen University of Applied Sciences, 52428 Jülich, GermanyDual frequency magnetic excitation of magnetic nanoparticles (MNP) enables enhanced biosensing applications. This was studied from an experimental and theoretical perspective: nonlinear sum-frequency components of MNP exposed to dual-frequency magnetic excitation were measured as a function of static magnetic offset field. The Langevin model in thermodynamic equilibrium was fitted to the experimental data to derive parameters of the lognormal core size distribution. These parameters were subsequently used as inputs for micromagnetic Monte-Carlo (MC)-simulations. From the hysteresis loops obtained from MC-simulations, sum-frequency components were numerically demodulated and compared with both experiment and Langevin model predictions. From the latter, we derived that approximately 90% of the frequency mixing magnetic response signal is generated by the largest 10% of MNP. We therefore suggest that small particles do not contribute to the frequency mixing signal, which is supported by MC-simulation results. Both theoretical approaches describe the experimental signal shapes well, but with notable differences between experiment and micromagnetic simulations. These deviations could result from Brownian relaxations which are, albeit experimentally inhibited, included in MC-simulation, or (yet unconsidered) cluster-effects of MNP, or inaccurately derived input for MC-simulations, because the largest particles dominate the experimental signal but concurrently do not fulfill the precondition of thermodynamic equilibrium required by Langevin theory.https://www.mdpi.com/2079-4991/11/5/1257magnetic nanoparticlesfrequency mixing magnetic detectionLangevin theorymicromagnetic simulationnonequilibrium dynamicsmagnetic relaxation
collection DOAJ
language English
format Article
sources DOAJ
author Ulrich M. Engelmann
Ahmed Shalaby
Carolyn Shasha
Kannan M. Krishnan
Hans-Joachim Krause
spellingShingle Ulrich M. Engelmann
Ahmed Shalaby
Carolyn Shasha
Kannan M. Krishnan
Hans-Joachim Krause
Comparative Modeling of Frequency Mixing Measurements of Magnetic Nanoparticles Using Micromagnetic Simulations and Langevin Theory
Nanomaterials
magnetic nanoparticles
frequency mixing magnetic detection
Langevin theory
micromagnetic simulation
nonequilibrium dynamics
magnetic relaxation
author_facet Ulrich M. Engelmann
Ahmed Shalaby
Carolyn Shasha
Kannan M. Krishnan
Hans-Joachim Krause
author_sort Ulrich M. Engelmann
title Comparative Modeling of Frequency Mixing Measurements of Magnetic Nanoparticles Using Micromagnetic Simulations and Langevin Theory
title_short Comparative Modeling of Frequency Mixing Measurements of Magnetic Nanoparticles Using Micromagnetic Simulations and Langevin Theory
title_full Comparative Modeling of Frequency Mixing Measurements of Magnetic Nanoparticles Using Micromagnetic Simulations and Langevin Theory
title_fullStr Comparative Modeling of Frequency Mixing Measurements of Magnetic Nanoparticles Using Micromagnetic Simulations and Langevin Theory
title_full_unstemmed Comparative Modeling of Frequency Mixing Measurements of Magnetic Nanoparticles Using Micromagnetic Simulations and Langevin Theory
title_sort comparative modeling of frequency mixing measurements of magnetic nanoparticles using micromagnetic simulations and langevin theory
publisher MDPI AG
series Nanomaterials
issn 2079-4991
publishDate 2021-05-01
description Dual frequency magnetic excitation of magnetic nanoparticles (MNP) enables enhanced biosensing applications. This was studied from an experimental and theoretical perspective: nonlinear sum-frequency components of MNP exposed to dual-frequency magnetic excitation were measured as a function of static magnetic offset field. The Langevin model in thermodynamic equilibrium was fitted to the experimental data to derive parameters of the lognormal core size distribution. These parameters were subsequently used as inputs for micromagnetic Monte-Carlo (MC)-simulations. From the hysteresis loops obtained from MC-simulations, sum-frequency components were numerically demodulated and compared with both experiment and Langevin model predictions. From the latter, we derived that approximately 90% of the frequency mixing magnetic response signal is generated by the largest 10% of MNP. We therefore suggest that small particles do not contribute to the frequency mixing signal, which is supported by MC-simulation results. Both theoretical approaches describe the experimental signal shapes well, but with notable differences between experiment and micromagnetic simulations. These deviations could result from Brownian relaxations which are, albeit experimentally inhibited, included in MC-simulation, or (yet unconsidered) cluster-effects of MNP, or inaccurately derived input for MC-simulations, because the largest particles dominate the experimental signal but concurrently do not fulfill the precondition of thermodynamic equilibrium required by Langevin theory.
topic magnetic nanoparticles
frequency mixing magnetic detection
Langevin theory
micromagnetic simulation
nonequilibrium dynamics
magnetic relaxation
url https://www.mdpi.com/2079-4991/11/5/1257
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