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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93086完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 黃念祖 | zh_TW |
| dc.contributor.advisor | Nien-Tsu Huang | en |
| dc.contributor.author | 林明儁 | zh_TW |
| dc.contributor.author | Ming-Chun Lin | en |
| dc.date.accessioned | 2024-07-17T16:20:43Z | - |
| dc.date.available | 2024-07-18 | - |
| dc.date.copyright | 2024-07-17 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-07-03 | - |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93086 | - |
| dc.description.abstract | 電泳是一種在各個領域被廣泛應用的樣品前處理技術。自由流電泳（FFE）是其中一種常見的電泳模式，因能連續且快速的進行分離，被用於細菌、蛋白質或DNA的樣品純化和濃縮。近年來，由於降低人為錯誤和提高檢測準確性的潛力，自由流電泳與不同的偵測技術如電化學或是質譜儀的整合變得愈發受歡迎。然而，現有的整合方法面臨諸多限制，包括數據提供資訊不足、檢測時間較長和高成本等。為了應對這些挑戰，表面增強拉曼散射（SERS）因其高靈敏度和高特異性而備受矚目。在本篇論文中，我們開發了一個無縫整合FFE和SERS的多重分子檢測平台，可以在二十分鐘內完成樣本前處理與訊號檢測。我們首先通過使用不同電特性的三種螢光分子來評估平台的性能，驗證了此平台能夠成功分離並同時偵測與SERS擁有不同親和力的分子。同時我們也透過模擬與實驗的交互驗證，建立了最佳的操作參數來進行分離。並且依據這樣的模擬公式，也能分析樣本的電特性，藉此獲得更多資訊。最後我們通過分離與檢測嘌呤的混合樣本證明了此平台能用於細菌分析，同時還能透過調整環境pH值來進行更廣泛的應用。FFE與SERS的整合為同時檢測多種分子提供了一個具備了高靈敏度以及更快的處理速度的方法，有潛力應用於臨床診斷、環境監測和食品安全。 | zh_TW |
| dc.description.abstract | Electrophoresis is a widely used sample pre-processing technique in various fields. Free Flow Electrophoresis (FFE) is a common electrophoresis mode known for its continuous and rapid separation capabilities. It is applied in the purification and concentration of samples such as bacteria, proteins, or DNA. In recent years, integrating FFE with different detection techniques, such as electrochemistry or mass spectrometry, has gained popularity due to its potential to reduce human errors and enhance detection accuracy. However, existing integration methods face various limitations, including insufficient data information, prolonged detection times, and high costs. To address these challenges, Surface-Enhanced Raman Scattering (SERS) has garnered attention for its high sensitivity and specificity. In this thesis, we developed a seamlessly integrated platform that combines FFE and SERS for the detection of multiple molecules. This platform allows for sample pre-processing and signal detection to be completed within twenty minutes. We first evaluated the performance of the platform by using three fluorescent molecules with different electrical properties, confirming its ability to successfully separate and simultaneously detect molecules with varying affinities for SERS. Additionally, through the validation of simulations and experiments, we established optimal operational parameters for the separation process. By utilizing simulation formulas, we could analyze the electrical characteristics of the samples, providing more comprehensive information. Finally, we demonstrated the versatility of the platform by separating and detecting a mixed sample of purine derivatives, showcasing its potential for bacterial analysis. The platform's adaptability for broader applications was further highlighted by adjusting the pH value. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-07-17T16:20:42Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-07-17T16:20:43Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書 #
誌謝 i 中文摘要 ii ABSTRACT iii LIST OF TABLES xii Chapter 1 Introduction 1 1.1Electrophoresis for biomolecular separation 1 1.1.1 Electrophoresis type 1 1.1.2 µFFE for biomolecular separation 4 1.1.3 µFFE combined with detection method 9 1.2 SERS for biomolecular detection 11 1.2.1 SERS detection in microfluidics 11 1.2.2 Microfluidic SERS combined with separation method 14 1.3 Research Motivation 16 Chapter 2 Theory 18 2.1 Free flow electrophoresis theory 18 2.2 SERS theory 22 2.2.1 Principle of Raman scattering 22 2.2.2 Surface Enhancement Principle of SERS 23 2.3 Principal Component Analysis theory 25 Chapter 3 Materials and methods 28 3.1 System setup 28 3.1.1 System overview 28 3.1.2 System design 29 3.2 Fabrication protocols 30 3.2.1 Microfluidic chip fabrication 30 3.2.2 SERS substrate fabrication 32 3.3 µFFE setup and process 34 3.4 Optical setup 35 3.5 Sample preparation 36 3.6 Data analysis 37 3.7 Revised experimental protocol 38 3.7.1 Revised microfluidic chip fabrication 40 3.7.2 Revised µFFE setup 42 Chapter 4 Results and discussion 43 4.1 Simulation results 43 4.1.1 Sheath flow ratio verification 43 4.1.2 Flow rate optimization 45 4.2 Sample characterization and optimization 46 4.2.1 Single sample FFE result 46 4.2.2 SERS calibration curves 47 4.3 Preliminary results 49 4.4 Biomolecule FFE-SERS demonstration 50 4.4.1 Mixing purine derivative quantification 50 4.5 Results of the revised experimental protocol 53 Chapter 5 Conclusions 58 Chapter 6 Future works 59 6.1 Integration of the system on the single chip 59 6.1.1 Integration test results 60 6.2 Cell lysis component analysis 61 6.3 Analysis of bacteria due to external stimulation 62 References 64 | - |
| dc.language.iso | en | - |
| dc.subject | 表面增強拉曼散射 | zh_TW |
| dc.subject | 微流體系統 | zh_TW |
| dc.subject | 細菌檢測 | zh_TW |
| dc.subject | 自由流電泳 | zh_TW |
| dc.subject | Free flow electrophoresis | en |
| dc.subject | bacteria detection | en |
| dc.subject | SERS | en |
| dc.subject | Microfluidic system | en |
| dc.title | 結合自由流電泳與表面增強拉曼光譜來進行多重分子檢測 | zh_TW |
| dc.title | Integration of Free Flow Electrophoresis and Surface-Enhanced Raman Scattering for multiplex biomolecule analysis | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 王玉麟;王俊凱;陳奕帆 | zh_TW |
| dc.contributor.oralexamcommittee | Yuh-Lin Wang;Juen-Kai Wang;Yih-Fan Chen | en |
| dc.subject.keyword | 微流體系統,表面增強拉曼散射,自由流電泳,細菌檢測, | zh_TW |
| dc.subject.keyword | Microfluidic system,SERS,Free flow electrophoresis,bacteria detection, | en |
| dc.relation.page | 74 | - |
| dc.identifier.doi | 10.6342/NTU202401456 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2024-07-03 | - |
| dc.contributor.author-college | 電機資訊學院 | - |
| dc.contributor.author-dept | 生醫電子與資訊學研究所 | - |
| 顯示於系所單位： | 生醫電子與資訊學研究所 | |
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