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Magnetic biosensing with magnetic nanoparticles: Simulative approach to predict signal intensity in frequency mixing magnetic detection

  • Magnetic nanoparticles (MNP) are investigated with great interest for biomedical applications in diagnostics (e.g. imaging: magnetic particle imaging (MPI)), therapeutics (e.g. hyperthermia: magnetic fluid hyperthermia (MFH)) and multi-purpose biosensing (e.g. magnetic immunoassays (MIA)). What all of these applications have in common is that they are based on the unique magnetic relaxation mechanisms of MNP in an alternating magnetic field (AMF). While MFH and MPI are currently the most prominent examples of biomedical applications, here we present results on the relatively new biosensing application of frequency mixing magnetic detection (FMMD) from a simulation perspective. In general, we ask how the key parameters of MNP (core size and magnetic anisotropy) affect the FMMD signal: by varying the core size, we investigate the effect of the magnetic volume per MNP; and by changing the effective magnetic anisotropy, we study the MNPs’ flexibility to leave its preferred magnetization direction. From this, we predict the most effective combination of MNP core size and magnetic anisotropy for maximum signal generation.

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Metadaten
Author:Beril Simsek, Hans-Joachim KrauseORCiD, Ulrich M. EngelmannORCiD
DOI:https://doi.org/10.17185/duepublico/81475
ISBN:978-3-940402-65-3
Parent Title (English):4th YRA MedTech Symposium 2024 : February 1 / 2024 / FH Aachen
Publisher:Universität Duisburg-Essen
Place of publication:Duisburg
Editor:Ilya Digel, Manfred Staat, Jürgen Trzewik, Stefanie Sielemann, Daniel Erni, Waldemar Zylka
Document Type:Conference Proceeding
Language:English
Year of Completion:2024
Creating Corporation:MedTech Symposium
Contributing Corporation:Young Researchers Academy
Date of the Publication (Server):2024/01/30
First Page:27
Last Page:28
Link:https://doi.org/10.17185/duepublico/81475
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Medizintechnik und Technomathematik
collections:Verlag / Universität Duisburg-Essen
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung