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Probing particle size dependency of frequency mixing magnetic detection with dynamic relaxation simulation

  • Biomedical applications of magnetic nanoparticles (MNP) fundamentally rely on the particles’ magnetic relaxation as a response to an alternating magnetic field. The magnetic relaxation complexly depends on the interplay of MNP magnetic and physical properties with the applied field parameters. It is commonly accepted that particle core size is a major contributor to signal generation in all the above applications, however, most MNP samples comprise broad distribution spanning nm and more. Therefore, precise knowledge of the exact contribution of individual core sizes to signal generation is desired for optimal MNP design generally for each application. Specifically, we present a magnetic relaxation simulation-driven analysis of experimental frequency mixing magnetic detection (FMMD) for biosensing to quantify the contributions of individual core size fractions towards signal generation. Applying our method to two different experimental MNP systems, we found the most dominant contributions from approx. 20 nm sized particles in the two independent MNP systems. Additional comparison between freely suspended and immobilized MNP also reveals insight in the MNP microstructure, allowing to use FMMD for MNP characterization, as well as to further fine-tune its applicability in biosensing.

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Metadaten
Verfasserangaben:Ulrich M. EngelmannORCiD, Mohammad Ali Pourshahidi, Ahmed Shalaby, Hans-Joachim KrauseORCiD
DOI:https://doi.org/10.1016/j.jmmm.2022.169965
ISSN:0304-8853
Titel des übergeordneten Werkes (Englisch):Journal of Magnetism and Magnetic Materials
Verlag:Elsevier
Verlagsort:Amsterdam
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Erscheinungsjahr:2022
Datum der Publikation (Server):29.09.2022
Jahrgang:563
Ausgabe / Heft:In progress, Art. No. 169965
Link:https://doi.org/10.1016/j.jmmm.2022.169965
Zugriffsart:bezahl
Fachbereiche und Einrichtungen:FH Aachen / Fachbereich Medizintechnik und Technomathematik
FH Aachen / INB - Institut für Nano- und Biotechnologien
collections:Verlag / Elsevier