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Author

  • Abbas, Mohamad Bilal (2)
  • Engelmann, Ulrich M. (2)
  • Krause, Hans-Joachim (2)
  • Bikulov, Timur (1)
  • Offenhäusser, Andreas (1)
  • Pourshahidi, Ali Mohammad (1)

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  • 2025 (2)

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  • Fachbereich Medizintechnik und Technomathematik (2)

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  • English (2)

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  • Conference Proceeding (2)

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How MNP respond to dual-frequency magnetic excitation in viscous media (2025)
Abbas, Mohamad Bilal ; Pourshahidi, Ali Mohammad ; Krause, Hans-Joachim ; Engelmann, Ulrich M.
Magnetic nanoparticles (MNP) enable new biomedical applications as imaging tracers, heating agents or biosensors due to their unique relaxation mechanism in alternating magnetic fields. For assessing MNP suitable for such applications, magnetic particle spectroscopy (MPS) offers a reliable method, dual-frequency excitation adding sensitivity. Biomedical applications, however, rely on MNP use in physiological environments (blood, tissue, etc.) of various viscosities, which could strongly alter the MNP relaxation behavior. In this work, we present our preliminary results of varying viscosity on the relaxation of MNP during dual-frequency MPS, studied with micromagnetic dynamic magnetization simulation.
Dual-frequency MPS enables direct MNP size reconstruction: Verification with micromagnetic simulation data (2025)
Bikulov, Timur ; Abbas, Mohamad Bilal ; Krause, Hans-Joachim ; Offenhäusser, Andreas ; Engelmann, Ulrich M.
Magnetic Particle Spectroscopy (MPS) allows for direct characterization of magneto-physical properties of magnetic nanoparticles (MNP), which are widely researched as imaging tracers, biosensing units and therapeutic heating agents. All these applications rely primarily on the core size-dependent magnetic particle relaxation dynamics. Therefore, knowledge about core size of any MNP sample is crucial. Dual-frequency MPS increases the characterization potential by considering frequency mixing terms of the received signal of MNP, from which their sizes can be approximated. In this work, preliminary feasibility and interpretation of a proposed size reconstruction method is tested against precisely simulated input data from stochastically coupled Néel-Brownian relaxation modeling using Monte Carlo implementation.
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