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.
Author: | Beril Simsek, Hans-Joachim KrauseORCiD, Ulrich M. EngelmannORCiD |
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DOI: | https://doi.org/10.17185/duepublico/81475 |
ISBN: | 978-3-940402-65-3 |
Parent Title (English): | YRA MedTech Symposium (2024) |
Publisher: | Universität Duisburg-Essen |
Place of publication: | Duisburg |
Editor: | Ilya DigelORCiD, Manfred StaatORCiD, 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 |
First Page: | 27 |
Last Page: | 28 |
Note: | 4th YRA MedTech Symposium, February 1, 2024. FH Aachen, Campus Jülich |
Link: | https://doi.org/10.17185/duepublico/81475 |
Zugriffsart: | weltweit |
Institutes: | FH Aachen / Fachbereich Medizintechnik und Technomathematik |
open_access (DINI-Set): | open_access |
collections: | Verlag / Universität Duisburg-Essen |
Licence (German): | ![]() |