journal article·2019-03-01Open access

High intrinsic loss power of multicore magnetic nanoparticles with blood-pooling property for hyperthermia

Kizuku Nishimoto, Satoshi Ota, Guannan Shi, Ryoji Takeda, Suko Bagus Trisnanto, Tsutomu Yamada, Yasushi Takemura

AIP Advances· Volume 9· Issue 3

Abstract

Magnetic hyperthermia is a promising application of magnetic nanoparticles (MNPs) in cancer therapy. It is important to consider and optimize the parameters that affect heat dissipation, such as particle diameters, structures, and surface coatings. In this study, we measured the magnetic properties of two superparamagnetic nanoparticles under DC and AC magnetic fields. Resovist is approved to be used as a magnetic resonance imaging contrast agent. CMEADM-033-02, with the blood-pooling property and biocompatibility, exhibits high magnetization. The blood-pooling property makes it easier for MNPs to accumulate in tumors and tissue. While preparing samples, we aligned the easy axis of the samples using a DC magnetic field to enhance heat dissipation. We discussed the magnetic property in terms of magnetic relaxation associated with anisotropy energy. We observed that the peak frequency of Néel relaxation was considerably shifted owing to effectively changed anisotropy by the alignment of the easy axis. However, the change in the peak frequency of Néel relaxation could not be directly confirmed. Furthermore, we calculated the intrinsic loss power (ILP) and specific loss power (SLP) for heat dissipation from the areas of AC magnetization curves and estimated the SLP at 1 MHz to compare with the high heating characteristic of ILP that has been reported in a conventional study. We achieved equivalent ILP for heat dissipation as that reported in the study by aligning the easy axis of the MNPs with the blood-pooling property under a therapeutic condition.
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Research context

OpenAlex topics: Characterization and Applications of Magnetic Nanoparticles · Nanoparticle-Based Drug Delivery · Microfluidic and Bio-sensing Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical and Computer Engineering, Yokohama National University 1 , Yokohama 2408501, Japan

Department of Electrical and Electronic Engineering, Shizuoka University 2 , Hamamatsu 4328561, Japan

Funding

JSPS KAKENHI

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