臺灣博碩士論文加值系統

本論文製作折疊紙基微流體晶片，搭配開發手機APP以及自製暗箱來檢測血糖濃度以及血球容積比。紙基微流體晶片是使用蠟基碳帶標籤機和ADVANTEC NO.1定性濾紙製作而成，透過智慧型手機、自製3D列印暗箱組合成一套比色檢測系統，分析不同濃度葡萄糖在紙基微流體晶片上之呈色反應。實驗先製作45 mg/dL至630 mg/dL之間不同濃度葡萄糖與紅藍綠三原色呈色關係之校正曲線，並且利用COMSOL Multiphysics多重物理耦合軟體，模擬試劑與葡萄糖不同濃度之呈色反應，探討模擬與實驗之差異性，實驗結果葡萄糖濃度決定係數為R2=0.9958，再將製作完的校正曲線方程式，寫入Android Studio手機應用程式開發平台，以及3D列印暗箱使用5500 K色溫LED固定光源，組成葡萄糖比色檢測系統，並與市售血糖機做數據比較，實驗結果13組血糖樣品數據中誤差值小於6.4 %。實驗中樣品血漿分離使用氯化鈉與乳化劑(Tween 20)混合溶液滴在紙基晶片上，血漿會溶解鹽使紅血球處於高滲透壓的環境中，造成紅血球形狀改變後聚集，並增加與紙基晶片之間的接觸，過濾後血漿會藉由濾紙芯吸作用沿著流道流動，達成血球與血漿分離目的，同時探討不同血球容積比與流動距離之關係，實驗結果血球容積比越小，血液總流動距離越長，決定係數為R2=0.9741，與市售血容比機做數據對比，13組樣品誤差值小於9.1 %。

In this paper, an origami microfluidic paper-based chip is used and combined with a mobile phone app and a self-made cassette to detect blood glucose concentration and hematocrit. The microfluidic paper-based chip is made using a wax ribbon labeling machine and ADVANTEC NO.1 qualitative filter paper. A colorimetric test system comprises a smartphone and a self-made 3D printing cassette used to analyze the color reaction of different concentrations of glucose on microfluidic paper-based chips. In the experiment, we first create a calibration curve to establish the relationship between different concentrations of glucose (ranging from 45 mg/dL to 630 mg/dL) and the three primary colors: red, green, and blue. Then, we utilize COMSOL Multiphysics software to simulate the color reaction between the reagents and different concentrations of glucose. Finally, we compare and discuss the differences between the simulated results and the actual test results. The test results show that the determination coefficient of glucose concentration is R2=0.9958. The equation of the calibration curve obtained is then entered into the Android Studio mobile phone application development platform. A 5500 K color temperature LED is used as a fixed light source for the 3D printing cassette to create a glucose colorimetric test system. The data obtained from this system is compared with that of a commercially available glucose meter. The test results show that the error value of 13 groups of glucose sample data is less than 6.4%. In the test, a mixture of sodium chloride and emulsifier (Tween 20) is dripped onto the paper-based chip. The blood plasma then dissolves the salt, creating a high osmotic pressure environment. This causes the red blood cells to change shape and increase their contact with the paper-based chip, resulting in them gathering together. After being filtered, the blood plasma will flow along the flow channel due to the wicking effect of the filter paper, resulting in the separation of blood cells from blood plasma. The relationship between different hematocrit levels and flow distance is discussed. The test results indicate that there is a correlation between smaller hematocrit levels and longer total blood flow distance. The determination coefficient R2 is calculated to be 0.9741. When compared to the data obtained from a commercially available hematocrit meter, the error value for the 13 sample groups is found to be less than 9.1%.

摘要....................................i
Abstract....................................ii
誌謝....................................iv
目錄....................................v
表目錄....................................vii
圖目錄....................................viii
符號說明....................................x
緒論....................................1
1.1前言....................................1
1.2研究動機與目的....................................1
1.3文獻回顧....................................2
1.3.1紙基微流體晶片製作方式....................................2
1.3.2紙基微流體之檢測法....................................5
1.3.3紙基微流體之應用....................................6
1.4 論文架構....................................9
理論公式....................................10
2.1毛細作用....................................10
2.2親疏水性....................................10
2.3達西定律....................................11
2.4Lucas-Washburn方程式....................................11
2.5滲透率....................................12
材料與晶片製作....................................13
3.1實驗材料與設備....................................14
3.2晶片設計....................................21
3.3晶片製作....................................21
3.4晶片親疏水....................................24
實驗方法與模擬....................................26
4.1葡萄糖檢測....................................26
4.2手機APP比色檢測....................................27
4.3自製暗箱....................................28
4.4線性回歸分析....................................29
4.5檢測晶片製備....................................29
4.6COMSOL模擬....................................30
結果與討論....................................33
5.1樣品葡萄糖檢測結果....................................33
5.2樣品紅血球容積比....................................36
結論與未來展望....................................39
6.1結論....................................39
6.2未來展望....................................39
參考文獻....................................40
Extended Abstract....................................44

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