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Performance Analysis of SAW Gas Sensor Based on ST-Cut Quartz for Breath Analysis

机译:基于ST-Cut石英的SAW气体传感器进行呼吸分析性能分析

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Breath analysis is the recent technique used to detect diseases. Among the advantages of breath analysis are high sensitivity and fast detection. Surface acoustic wave (SAW) gas sensor is one of the sensors that can be used to analyze breath analysis. This work reports on the design and simulation of SAW gas sensor using a FEM simulator, COMSOL Multiphysics. We analyze the possibilities of increasing the quality factor, coupling coefficient and the wave velocity of the devices by varying the number of interdigitated electrodes (IDTs). We designed and simulated IDTs pf different finger number (IDT= 2, 4, 8, 12, 16, 20, 24, 28 and 32). The measured quality factor, coupling coefficient and wave velocity confirms that varying the number of IDTs fingers enables to reach better electrical performances at resonances frequency around 943 MHz.
机译:呼气分析是最近用于检测疾病的技术。呼吸分析的优点是高灵敏度和快速检测。表面声波(锯)气体传感器是可用于分析呼气分析的传感器之一。这项工作报告了使用FEM模拟器,COMSOL Multiphysics的SAW气体传感器的设计和仿真。通过改变互指电极(IDT)的数量来分析增加器件的质量因数,耦合系数和波速度的可能性。我们设计和模拟IDTS PF不同的手指数(IDT = 2,4,8,12,16,20,24,28和32)。测量的质量因数,耦合系数和波速确认,改变IDTS指状物的数量使得能够在943MHz的共振频率下达到更好的电气性能。

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