根據養殖產業相關研究，一般當水池中總生菌數超過1x 105 CFU/mL時，會使石斑魚生病、死亡，而造成每年產業上億元的損失。由於早期的傳統塗盤法存在著操作步驟繁瑣且耗時的問題，無法當下針對水產樣本進行即刻檢測判讀。本研究開發一套能提供檢測全程於15分鐘內分三階段完成之即時檢測水體中菌量的裝置。(1)原含菌水體試樣經適當的離心前處理，繼之以0.3 M蔗糖水調製測試液後。(2)即可滴上於環狀指叉形的微影製程技術製作之微小電極濃縮器(RIDE)之檢驗平台，應用微機電之黃光微晶片，當施加特定電壓40 Vpp 與頻率5 kHz之交流訊號於電極上，即可產生連續性流動傳輸之交流電滲透流力(ACEO)，遂帶動溶液中的水合離子，而起均往圓心方向的流動，其結果引導細菌向晶片之無電極的中心聚集而利於擷取影像。(3)最終運用ImageJ生物影像軟體來定量檢測分析。本研究已將樣本應用範圍從實驗室自行配液的純弧菌階段，推向從養殖現場所採集之實際水樣本做量化檢驗，迄今的結果顯示已能在5分鐘內達可定量之效果。此外，我們更分別從前處理、晶片設計、後續影像等方面來改善本定量分析，已探討出若含試樣體積在100 µL與含菌量在1x103到1x105 CFU/mL之間與傳統培養法具線性正相關，顯示此系統已能適合應用在養殖漁業水質的總生菌數之檢測上。若系統再施予良好的組裝與自動化精進，檢測全程時間甚可縮短至10分鐘，相較在同範圍濃度的自配液純弧菌總數，誤差約僅有10%的耗損率。藉由此技術的發展，除養殖漁業外，未來將有可能應用需即時檢測，如菌尿症或食品、環境等含細菌數之快速檢驗上。

According to the research of aquaculture industry. As the total number of bacteria exceeds 1x105 CFU/mL in pound. It would cause the grouper to be sick or dead, even if cause a billion of dollars losses every year in industry. Due to the conventional plate count method that has the complicated and time-consuming operation problem, we cannot detect the sample immediately. In this study, the device is developed to detect the number of bacteria in aqueous solution within 15 min by following three stages. (1) The stock solution of the sample should take pretreatment by centrifugal method and adjust the stock solution to 0.3 M sucrose solution. (2) Then it could be dropped on the test platform of Ring-shaped Interdigitated Electrode (RIDE) of Lithography Instrument and Process to apply on the microelectromechanical microchip. When adding the AC signal (40 Vpp, 5 kHz) on electrode, it would generate the continuity AC electroosmosis (ACEO) to drive the hydrated ion in aqueous solution to guide the bacterial into the electrode center, it’s beneficial to image capture. (3) In final, ImageJ software was utilized for quantitative analysis. In this research, the application field has changed from aquaculture media in laboratory to real sample in fishery. Recently results shows that we could quantify in 5 minutes. Moreover, we improved quantitative analysis by pretreatment, chip design, experimental methods, and image-analyzing. From result, with 100 L volume sample, RIDE system can detect concentration from 1x103 to 1x105 CFU/mL that has a positive linear correlation with cultivation-dependent methods. It shows that the system is able to apply in fishery for quantitative detection of number of bacterial. With well assembly and improved automation in this system, the detecting time could be shortened to 10 minutes. Comparing to the same range concentration for aquaculture media with vibrio count, the attrition rate is just 10%. Besides the fishery, it will be possible to instantly detect bacteria counting, such as bacteriuria, food, or environment, for bacteria count in the future through this technology development.

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