近年來，由於微機電系統(MEMS)快速的成熟發展，且其尺寸相近於細胞分子，因此微機電系統(MEMS)在生物分子及細胞組成學上成為一個很好的工具。而在生醫及藥學的應用上，發展單一細胞的特徵修飾技術，不只可用來診斷檢驗帶有不同修飾基的細胞，還可生產特殊有價值的細胞，因此要在低濃度的樣本裡，分離、分類、純化和檢測特定的生物分子，像是DNA、蛋白質、病毒和細胞，變得相當的重要。過去以來，研究工作者發表了一些技術，如光學鑷子、磁鑷子、微夾子…等等，來操控及分離細胞、蛋白質和DNA，但即使擁有如此先進的技術和亮眼的實驗結果，其在實際應用面上，要從低樣品濃度的溶液中以高效率萃取純化出想要的生物分子仍是一項挑戰。因此本論文介紹一個新穎的理論”介電泳(DEP)”，並藉由可程式化的矩陣式介電泳晶片來產生非接觸的力量去操控及分離細胞。
本論文首先介紹一些過去的文獻探討，並經由理論公式計算及CFD-RC軟體的數值模擬來驗證此晶片的可能性，接著利用微機電系統的製程來規劃實現此可程式化的矩陣式介電泳多重分類晶片，最後，我們提出了一個整合性的生物晶片，其利用矩陣式介電泳理論而有效率的應用在蛋白質的捕捉及分離上。

Recently, MEMS has been a good tool in application of molecular and cellular biotechnology researches because the scale fit to the size of the molecule and cell. For medical and pharmaceutical purposes, development of new and modified single cell characterization techniques could allow individual cell-based diagnostic assays and product a lot of highly specialized cells. Therefore, to separate, sort out, purify and detect target biological particles/molecules like DNA, proteins, viruses, and cells from very low-concentration sample solution has been important. In the past, research workers publish some technology such as optical tweezers, magnetic tweezers, microgripper, and etc. to manipulate and separate cells, proteins, and DNA. Even with such technology advances and impressive technology demonstration, the high effective separation, sorting, and purification for target bio-molecules in a very low-concentration sample solution are still a big challenge for practical applications and attractive research topics. Hence, this thesis introduce a novel theory, dielectrophoresis, (DEP) to manipulate and separate cells with non-concact force by the programmable DEP array.
Firstly, this thesis first introduces the survey of literatures, and prove the feasibility of the design concepts via theoretical and numerical analysis with CFD-RC. Through the MEMS fabrication processes, a device with programmable DEP array is realized to demonstrate the function of manipulation and separation. Furthermore, we address a integrated biochip for the applications of trapping and adaptive multi-sorting proteins using DEP array.

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