本研究利用Arduino Due微控制器搭配TI(Texas Instruments)公司開發的產品ADS8332評估模組,最後結合Android系統之行動裝置,擷取奈米粒子電漿共振儀所產生的光訊號強度變化。 主要利用ADS8332評估模組來擷取生化檢測平台之光檢測器產生的訊號,然後將擷取到的類比訊號轉換成數位訊號,再透過同步序列資料協定SPI(Serial Peripheral Interface Bus)將數位訊號傳至Arduino Due微控制器進行運算,最後利用內建的USB(Universal Serial Bus)轉TTL(Transistor-transistor logic)模組連接外加的藍牙晶片模組以無線傳輸的方式傳送至智慧型手機。 本研究開發在電腦上做動力學曲線分析的LabVIEW程式,另外在智慧型手機上,透過擷取到Arduino Due微控制器計算的光強度變化,即時顯示目前光訊號強度以及穩定性,用來監測目前訊號的穩定性是否足夠可以用來當作實驗數據,結果顯示本系統最後的架構可以使訊號的變異係數小於穩定判斷標準0.015% 以下,已經符合生化檢測平台的標準。 最後還有使用SD卡儲存功能,將要分析的化學動力學曲線訊號儲存至SD卡中,以用來最後在電腦上實現生化動力學參數之分析。
In this study, the Arduino Due microcontroller was combined with ADS8332 evaluation module produced by TI(Texas Instruments) and the Android mobile device to acquire the output signal from the fiber-optic particle plasmon resonance (FOPPR) system. The main function of the ADS8332 evaluation module is acquiring the output signal from the fiber-optic particle plasmon resonance (FOPPR) system and then converting the analog signals into digital signals. The digital signals were transmitted to the Arduino Due microcontroller through synchronous serial port protocol SPI(Serial Peripheral Interface Bus), and the results were calculated. Finally, the built-in USB(Universal Serial Bus)-to-TTL(Transistor-transistor logic) model was used to connect an extend Bluetooth module and the result was transmitted wirelessly to smart phone. A LabVIEW program was developed to analyze the dynamic property of the curve on a personal computer (PC). We also developed a portable fiber-optic particle plasmon resonance (FOPPR) signal acquisition system using Arduino Due and ADS8332 module. The emission intensity was calculated and transmitted to the smartphone and result and stability were displayed on the screen. The stability was used to monitor whether the signal can be used as acceptable experimental data. The final results showed that the system achieved less than 0.015% in the relative standard deviation (RSD) and demonstrated that the system has met the criteria for acceptable biochemical analysis. Finally, the dynamic changes of the signal can be saved into an SD card. A parametric analysis program written in LabVIEW programming was developed on a PC to analyze the related biochemical molecular kinetics by analyzing the stored waveform.