- 學位論文
可攜式雙通道奈米粒子電漿共振 訊號分析系統之研發
Development of a portable two-channel Fiber-Optic Particle Plasmon Resonance signal analysis system
摘要
本研究利用Arduino Due微控制器搭配TI(Texas Instruments)公司開發產品ADS8332評估模組(16位元ADC)來擷取量測奈米粒子電漿共振儀(FOPPR)所產生的光訊號強度變化，透過有線方式傳至電腦端或是以藍牙模組傳至Android系統之行動裝置上，即時顯示目前光訊號強度以及穩定性。經過研究與測試後，結果顯示本系統設計的架構，系統穩定度以訊號相對標準差(RSD)值來表示時，皆低於穩定判斷標準 0.015%以下，證明系統穩定度已經符合生化檢測平台的標準。 本研究更在電腦端、手機端開發化學動力學曲線分析程式，透過簡單的操作方式直接分析其感測系統的多項感測能力數據。讓操作者可以方便、有效的分析其實驗結果，進一步做生化動力學相關分析。 此外，在檢測的過程中，感測系統因具備高靈敏度，量測過程中如果受到外界環境干擾，容易影響訊號的量測而發生訊號的誤判，本研究開發雙通道訊號擷取系統，目的為透過訊號處理的方式將干擾降至最低，以利於訊號的判讀，而結果顯示，運用雙通道系統的校正方式，以均方根誤差值(RMSE)來評估校正結果，其RMSE值能明顯降低，表示能有效排除外在干擾，可得到較為準確的生化檢測結果。
並列摘要
In this study, the Arduino Due microcontroller was combined with the ADS8332 evaluation module (16-bit ADC) produced by TI (Texas Instruments) to acquire the output signal from the Fiber-Optic Particle Plasmon Resonance (FOPPR) system. The results were transmitted to a computer by wire or transmitted wirelessly to smart phone by HC-05 Bluetooth Module to monitor the intensity and stability of the light signal. The performance of the present systems can be measured by the relative standard deviation (RSD). After we tested the systems, the final results showed that the system RSD value achieved less than 0.015%. It demonstrated that the system has met the criteria for biochemical analysis. We also developed the programs to analyze the sensor sensitivity and resolution on a personal computer (PC) and on an Android mobile device. The user can easily analyze the experiment data and perform further biochemical dynamics analysis of the data. In addition, since the sensor is highly sensitive, the experimental measurements can be influenced easily if there is interference in the surroundings and may be caused errors in judgment. So we developed a two-channel Fiber-Optic Particle Plasmon resonance signal analysis system. The aim was to reduce the interference noise by applying signal processing techniques to facilitate signal analysis. The results showed that the two-channel method significantly decreased the Root Mean Square Error (RMSE) and corrected the measurement. This observation demonstrated the design was capable of reduce the outside interference and improve the accuracy of biochemical analysis.