灵敏度(控制系统)
声表面波
生物传感器
谐振器
声学
声表面波传感器
材料科学
有限元法
频率响应
计算机模拟
电子工程
计算机科学
光电子学
工程类
电气工程
纳米技术
模拟
物理
结构工程
作者
Ahmad Shukri Muhammad Noor,Ahmad Nasrul Norali,Zahriladha Zakaria,M. Mazalan,Yufridin Wahab
出处
期刊:Journal of physics
[IOP Publishing]
日期:2021-10-01
卷期号:2071 (1): 012022-012022
标识
DOI:10.1088/1742-6596/2071/1/012022
摘要
Abstract A surface acoustic wave (SAW) sensor detects changes in physical properties such as mass and density on its surface. Compared to other types of sensors, SAW sensor have a good stability, high selectivity and sensitivity, fast response, and low-cost. On the other hand, to design and optimize a SAW biosensor requires a long process including time and cost using conventional methods. Therefore, numerical simulation and computational modelling are useful and efficiently conduct analysis for the SAW biosensor. In this paper, a numerical simulation technique is used to analyse the SAW device sensitivity for the application of gas detection. The SAW biosensor can detect very small mass loading by changing its sensor resonance frequency. The two-dimensional (2D) device model is based on a two-port SAW resonator with a gas sensing layer. We made two design of SAW biosensor device with frequency of 872 MHz and 1.74 GHz. A gas with vary concentration from 1 to 100 ppm were used to determine the change of the device resonance frequency. As a result, the high frequency (1.74 GHz) device, shows that the resonance frequency is shifted larger than to the low frequency (872 MHz) device. In addition, the high frequency device offers five times more sensitivity than the low frequency device. By changing the sensor design, the sensor characteristics such as sensitivity can be altered to meet certain sensing requirements. Numerical simulation provides advantages for sensor optimization and useful for nearly representing the real condition.
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