基于磁性纳米颗粒的温度测量理论模型误差研究

Theoretical model error of temperature measurement based on magnetic nanoparticles

磁性纳米颗粒温度测量技术是一种新型、非接触式磁学测温方法,可以实现肿瘤热疗法中的在体温度实时监测等极端条件下的温度测量,但该技术伴随的温度测量误差问题,严重制约其在更多领域的应用和推广.针对这一问题,从郎之万函数泰勒级数展开式的不同展开项、激励磁场幅值、信噪比三个方面,并通过仿真和实验,分析验证了不同项数的泰勒级数展开项数对温度误差的影响.结果表明,利用五项泰勒级数展开项数逼近郎之万函数,增加激励磁场强度,提高信噪比等方法,能够从理论上解决磁性纳米颗粒温度测量误差较大的难题.

Magnetic nanometer temperature measurement technology is a new and non-contact magnetic temperature measurement method,which can realize temperature measurement under extreme conditions such as real-time monitoring of body temperature in cancer thermotherapy.However,the error of temperature measurement accompanied by this technology seriously restricts its application and promotion in more fields.To solve this problem,the influence of Taylor series expansion terms of different terms on temperature error is analyzed and verified through simulation and experiment from three aspects of Taylor series expansion terms of Langevin function,excitation magnetic field amplitude and signal-to-noise ratio.The results show that the method of approximating Langevin function with five Taylor series expansion terms,increasing the intensity of exciting magnetic field and improving signal-to-noise ratio can solve the problem of large error in magnetic nanometer temperature measurement theoretically.