A Novel Estimation Method for Temperature of Magnetic Nanoparticles Dominated by Brownian Relaxation Based on Magnetic Particle Spectroscopy

被引：0

作者：

Du, Zhongzhou ^{[1
]}

Zhao, Gaoli ^{[1
]}

Hua, Zhanpeng ^{[1
]}

Ye, Na ^{[1
]}

Sun, Yi ^{[2
]}

Wu, Wenjie ^{[1
]}

Zhang, Haochen ^{[2
]}

Yu, Longtu ^{[2
]}

Han, Shijie ^{[3
]}

Wang, Haozhe ^{[2
]}

Liu, Wenzhong ^{[3
]}

Yoshida, Takashi ^{[2
]}

机构：

[1] Zhengzhou Univ Light Ind, Sch Comp Sci & Technol, Zhengzhou 450001, Peoples R China

[2] Kyushu Univ, Dept Elect & Elect Engn, Fukuoka 8190395, Japan

[3] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2024年 / 73卷

关键词：

Harmonic analysis; Mathematical models; Magnetization; Temperature measurement; Magnetic fields; Temperature distribution; Magnetic nanoparticles; Magnetic field measurement; Estimation; Polynomials; Brownian relaxation; Fokker-Planck equation; Langevin function; magnetic nanoparticle (MNP); HYPERTHERMIA; SYSTEMS; HEAT;

D O I：

10.1109/TIM.2024.3472772

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article presents a novel method for estimating the temperature of magnetic nanoparticles (MNPs) based on ac magnetization harmonics of MNPs dominated by Brownian relaxation. The disparity in the ac magnetization response and magnetization harmonic between the Fokker-Planck equation and the Langevin function was analyzed, and we studied the relationship between the magnetization harmonic and the key factors, such as Brownian relaxation time, temperature, magnetic field strength, core size and hydrodynamic size of MNPs, and excitation frequency. We proposed a compensation function for ac magnetization harmonic with consideration of the key factors and the disparity between the Fokker-Planck equation and the Langevin function. Then, a temperature estimation model based on the compensation function and the analytical harmonic expression of the Langevin function was established. By employing the least-squares algorithm, the temperature was successfully calculated. The experimental results show that the temperature error is less than 0.035 K in the temperature range from 310 to 320 K. The temperature estimation model is expected to improve the performance of the MNP thermometer and to be applied to MNP-mediated hyperthermia.

引用

页数：16

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