K
Keiji Enpuku
Researcher at Kyushu University
Publications - 241
Citations - 3523
Keiji Enpuku is an academic researcher from Kyushu University. The author has contributed to research in topics: Magnetic nanoparticles & SQUID. The author has an hindex of 28, co-authored 238 publications receiving 3216 citations.
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Journal ArticleDOI
Highly sensitive third-harmonic detection method of magnetic nanoparticles using an AC susceptibility measurement system for liquid-phase assay
Takako Mizoguchi,Akihiko Kandori,Ryuzo Kawabata,Kuniomi Ogata,Tsunehiro Hato,Akira Tsukamoto,Seiji Adachi,Keiichi Tanabe,Saburo Tanaka,Keiji Tsukada,Keiji Enpuku +10 more
TL;DR: In this paper, the authors developed a high-temperature superconducting-quantum-interference-device-based ac susceptibility measurement system that can detect third-harmonic signals from magnetic nanoparticles.
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Sonochemical Synthesis of the Magnetite Nanoparticles in Aqueous Solution
TL;DR: In this paper, the formation of magnetite nanoparticles under ultrasonic irradiation in an aqueous solution was studied and the effects of dissolved gas and pH value were also studied.
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Evaluation of Harmonic Signals for the Detection of Magnetic Nanoparticles
TL;DR: In this article, the authors evaluated the use of harmonic signals for detecting magnetic nanoparticles (MNPs) in biomedical applications and studied the relationship between the harmonic signals and the distribution of magnetic moments in MNP samples.
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Evaluation of magnetic penetration depth and surface resistance of superconducting thin films using coplanar waveguides
TL;DR: In this article, the authors proposed a method to evaluate the magnetic penetration depth and the surface resistance of superconducting thin films from the kinetic inductance measurement using coplanar waveguides.
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Comparison of volume distribution of magnetic nanoparticles obtained from M-H curve with a mixture of log-normal distributions
TL;DR: In this paper, the singular value decomposition method was applied to the M-H curve measured in the liquid phase to estimate the magnetic moment and magnetic volume of magnetic nanoparticles (MNPs) and the average value of the anisotropy energy constant and the characteristic time τON that determines the Neel relaxation of immobilized MNPs.