Du Zhongzhou, Su Rijian, Liu Wenzhong, Huang Zhixing
School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China.
School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China.
Sensors (Basel). 2015 Apr 14;15(4):8624-41. doi: 10.3390/s150408624.
The signal transmission module of a magnetic nanoparticle thermometer (MNPT) was established in this study to analyze the error sources introduced during the signal flow in the hardware system. The underlying error sources that significantly affected the precision of the MNPT were determined through mathematical modeling and simulation. A transfer module path with the minimum error in the hardware system was then proposed through the analysis of the variations of the system error caused by the significant error sources when the signal flew through the signal transmission module. In addition, a system parameter, named the signal-to-AC bias ratio (i.e., the ratio between the signal and AC bias), was identified as a direct determinant of the precision of the measured temperature. The temperature error was below 0.1 K when the signal-to-AC bias ratio was higher than 80 dB, and other system errors were not considered. The temperature error was below 0.1 K in the experiments with a commercial magnetic fluid (Sample SOR-10, Ocean Nanotechnology, Springdale, AR, USA) when the hardware system of the MNPT was designed with the aforementioned method.
本研究建立了磁性纳米颗粒温度计（MNPT）的信号传输模块，以分析硬件系统中信号流通过程中引入的误差源。通过数学建模和仿真确定了对MNPT精度有显著影响的潜在误差源。然后，通过分析信号在信号传输模块中传输时由显著误差源引起的系统误差变化，提出了硬件系统中误差最小的传输模块路径。此外，一个名为信号与交流偏置比（即信号与交流偏置之间的比率）的系统参数被确定为测量温度精度的直接决定因素。当信号与交流偏置比高于80 dB时，温度误差低于0.1 K，且未考虑其他系统误差。当采用上述方法设计MNPT的硬件系统时，在使用商用磁性流体（样品SOR-10，美国阿肯色州斯普林代尔市海洋纳米技术公司）进行的实验中，温度误差低于0.1 K。
