Development of low pass filtering and linearization for piezoresistive microcantilever biosensing

M. F. Abdullah, L. Khuan, N. K. Madzhi, A. Ahmad
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引用次数: 3

Abstract

This paper concerns the development and design of filtering and linearization stage of potentiometric transducer to measure human stress level based on salivary amylase activity. The design of this new way approached is implemented using Cadence OrCAD Capture CIS 15.7 software and hardware construction and troubleshooting. From the previous research, it has been found that for a sensor input range of 1.1 to 1.3 kilo ohms, an output range of −100 to +100 millivolts is obtained. The design for filtering stage used the first order passive low pass filter to accommodate the stress signal frequency for 0.4Hz. Besides the design also focus to boost up the low voltage input of 108.6mV–(−100mV) to 0V–5V output voltage. Its involved low pass filter, voltage follower and linearization stages. The result indicates discrepancy within 4.5% and 3.7% were found between the simulation and experimental results for voltage follower after filtering and linearization circuit respectively, on the average. This development allowed stress measurement with relatively high precision and accuracy.
压阻微悬臂生物传感低通滤波和线性化的研究进展
本文研究了基于唾液淀粉酶活性测量人体应激水平的电位传感器滤波和线性化阶段的开发与设计。这种新的设计方法是利用Cadence OrCAD Capture CIS 15.7实现软硬件的搭建和故障排除。从先前的研究中,已经发现对于1.1到1.3千欧姆的传感器输入范围,可以获得−100到+100毫伏的输出范围。滤波级设计采用一阶无源低通滤波器,适应应力信号频率为0.4Hz。此外,设计还着重于将108.6mV - (- 100mV)的低压输入升压到0V-5V的输出电压。它涉及低通滤波器、电压跟随器和线性化阶段。结果表明,经过滤波和线性化电路处理后的电压从动器仿真结果与实验结果的平均误差分别在4.5%和3.7%以内。这一发展使应力测量具有相对较高的精度和准确性。
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