Design and Application of Miniaturized Automatic Dielectric Spectroscopy System for Biological Materials

碩士 === 國立臺灣大學 === 醫學工程學研究所 === 104 === Biosensors that use microwave resonators are compact, easy to operate, low-cost, and capable of real-time monitoring. These advantages, combined with eliminating the need for sample pretreatment, make microwave biosensors the object of widespread attention. How...

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Bibliographic Details
Main Authors: Hsu-Tao Shen, 沈續濤
Other Authors: Chii-Wann Lin
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/46052251033250514484
Description
Summary:碩士 === 國立臺灣大學 === 醫學工程學研究所 === 104 === Biosensors that use microwave resonators are compact, easy to operate, low-cost, and capable of real-time monitoring. These advantages, combined with eliminating the need for sample pretreatment, make microwave biosensors the object of widespread attention. However, due to their relatively large size and the expensive laboratory instruments necessary for conducting measurements, they cannot be integrated into general consumer electronic products. With current development in information technology and popularity of portable smart devices, miniature biosensors have become a development trend for the future. In this study, a microwave biosensor system was developed using the technology and process of integrated circuit (IC) and printed circuit board (PCB) to measure, by automatic feedback control, sample-induced capacitance and impedance which correspond respectively to real and imaginary parts of relative permittivity. The device exhibited small size, low power consumption, low operating frequency, label-free detection, high sensitivity, and low cost. In addition, the signal to noise ratio increased with the integration interval. Function validation and sample analysis were performed on the biosensor system. In order to increase the convenience of the detection process, an automated a graphical user interface was developed. In summary, the described system is capable of rapid sample analysis and when integrated into smart device platforms, is a potentially valuable tool for IOT service.