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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 | 官大涵 | zh_TW |
dc.contributor.author | Da-Han Kuan | en |
dc.date.accessioned | 2023-07-19T16:43:19Z | - |
dc.date.available | 2023-11-09 | - |
dc.date.copyright | 2023-07-19 | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-03-07 | - |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/87827 | - |
dc.description.abstract | 血液當中富含血球、蛋白質及外泌體等多種多種物質可供檢測,但傳統的血液分析技術往往耗時耗力且需要大量的血液樣本進行處理,為了解決傳統所遇到的問題,科學家開發了許多血液處理或是感測的微流道系統。然而,在這些系統當中僅有少數將血液處理及感測整合於一個晶片當中,而且感測也往往只針對單一生物標記物。更糟糕的是,大多數的系統還是依賴繁雜的操作,而導致更大的人力需求。有鑑於此,我們目標開發四個整合晶片內全血處理及多種原位生物標記物檢測的自動化微流道系統以針對血液當中的不同成分進行處理和檢測。首先,MBCS可以在單一晶片上針對全血同時進行血漿、紅血球及白血球的分離。而且因為取出來的檢體仍保留著原本的特性,以此可以繼續進行後續檢測。再來,MIPD展示了整合晶片內全血處理及即時血紅素及糖化血色素感測的自動化微流道系統,並實現了”樣本進-結果出”的概念。第三個系統 – MPPS則是可以從僅僅100微升的全血當中抽取血漿,且不造成任何稀釋及血球破裂等狀況。此外,MPPS亦使用自動化控制以進行血漿抽取及感測器清潔等流程。最後,MEVF則是證明了可以利用奈米粒子的尺寸及電性的特性進行二維分離,並展示可以進行外泌體分選的潛力。基於上述結果,我們相信這四個系統具有應用在定點照護進行多生物標記物檢測的潛力。 | zh_TW |
dc.description.abstract | Blood contains multiple components, including cells, proteins, and extracellular vesicles. Conventional blood analysis techniques are labor-intensive, time-consuming, and large sample volume-required. Many microfluidic systems have been developed to address these problems. However, only a few integrate blood processing and detection into a single chip. The detection is often feasible only for sensing a single biomarker. Even worse, most systems rely on trivial manipulation leading to a higher labor intensiveness. Therefore, we aim to build microfluidic systems integrating on-chip blood processing and in-situ multiple biomarkers detection with automated fluidic control and data acquisition. The first system MBCS enables the simultaneous extraction of plasma, red blood cell, and white blood cell trapping in a single chip. The extracted samples remain at their original properties for further detection. The second system MIPD demonstrates the automated microfluidic system for on-chip whole blood processing and real-time detection of hemoglobin and glycated hemoglobin. The system fulfills the sample-in-result-out concept. The third system MPPS realizes dilution-free and hemolysis-free plasma extraction with only 100 μL blood using sedimentation and filtration. Moreover, the system makes the plasma extraction and sensor washing fully automated. The last system MEVF shows the size and charge-based 2D fractionation for nanoparticles, indicating the potential to separate extracellular vesicles. Based on the result, we believe the four systems can potentially achieve multiple biomarkers measurements in a point-of-care setting. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-07-19T16:43:19Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2023-07-19T16:43:19Z (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 CONTENTS iv LIST OF FIGURES viii LIST OF TABLES xiv Chapter 1 Introduction 1 1.1 Blood 1 1.1.1 Biological meaning and detection methods 2 1.1.2 Challenges 5 1.2 Microfluidic Sample Processing 7 1.2.1 Blood processing for cell detection 7 1.2.2 Blood processing for protein detection 11 1.2.3 Sample processing for EV detection 14 1.3 Research Motivation 16 Chapter 2 Theory 25 2.1 Bifurcation Law 25 2.2 Blood Cell Sedimentation 28 2.2.1 Trench-based RBC sedimentation 29 2.2.2 Intrinsic RBC sedimentation 32 2.3 Nanoparticle Basis 34 2.3.1 Characteristics of nanoparticles 35 2.3.2 Hydrodynamic radius 36 2.3.3 Surface charge 40 2.4 Electrophoresis 43 2.4.1 Category of electrophoresis 44 2.4.2 Free-flow zone electrophoresis in a cylindrical channel 46 Chapter 3 Material and Methods 52 3.1 System Overview 52 3.1.1 Microfluidic device for blood cell separation (MBCS) 52 3.1.2 Microfluidic system for intracellular protein detection (MIPD) 54 3.1.3 Microfluidic platform for plasma protein sensing (MPPS) 55 3.1.4 Microfluidic device for EV fractionation (MEVF) 57 3.2 Device Fabrication 58 3.2.1 PDMS device 58 3.2.2 PMMA device 59 3.2.3 Hydrogel device 61 3.3 Sample Preparation 63 3.3.1 Blood collection and processing 63 3.3.2 Reagent preparation 64 3.3.3 Nanoparticle preparation 65 3.4 Instrument 66 3.4.1 Epifluorescence microscope 66 3.4.2 UV-VIS spectrometer 66 3.4.3 Dynamic light scattering 67 Chapter 4 Results and Discussion 68 4.1 Validation of MBCS 68 4.1.1 Fluorescent bead simulation 68 4.1.2 Plasma extraction 69 4.1.3 RBC collection for blood type test 72 4.1.4 White blood cell trapping 74 4.1.5 Simultaneous extraction of plasma, RBC, and WBC trapping in the MBCS 75 4.2 Validation of MIPD 78 4.2.1 Simulation of the serpentine channel 78 4.2.2 Debris or non-lysed cell trapping efficiency test 79 4.2.3 Dilution factor test 81 4.2.4 Mixing efficiency test 82 4.2.5 Integration of the sample process and analyte detection in the MINS device 84 4.3 Validation of MPPS 87 4.3.1 Design of MPPS device 87 4.3.2 Blood sedimentation characterization 90 4.3.3 Plasma filtration and hemolysis evaluation 91 4.3.4 Sample loading and washing efficiency test 93 4.3.5 On-chip blood processing and washing 95 4.4 Validation of MEVF 97 4.4.1 Design of MEVF device 97 4.4.2 Sample characterization 99 4.4.3 Free-flow electrophoresis 101 4.4.4 Gel electrophoresis 106 4.4.5 2D comprehensive fractionation 108 Chapter 5 Conclusion 110 Chapter 6 Future Work 112 References 114 | - |
dc.language.iso | en | - |
dc.title | 整合晶片內全血處理及多種原位生物標記物檢測之自動化微流道系統 | zh_TW |
dc.title | The Automated Microfluidic Systems for On-chip Whole Blood Processing and In-situ Multiple Biomarkers Detection | en |
dc.type | Thesis | - |
dc.date.schoolyear | 111-2 | - |
dc.description.degree | 博士 | - |
dc.contributor.coadvisor | 林致廷 | zh_TW |
dc.contributor.coadvisor | Chih-Ting Lin | en |
dc.contributor.oralexamcommittee | 楊東霖;郭柏齡;盧彥文;陳奕帆;董奕鍾 | zh_TW |
dc.contributor.oralexamcommittee | T Tony Yang;Po-Ling Kuo;Yen-Wen Lu;Yih-Fan Chen;Yi-Chung Tung | en |
dc.subject.keyword | 微流道,血液處理,系統整合, | zh_TW |
dc.subject.keyword | Microfluidics,Blood Processing,System Integration, | en |
dc.relation.page | 123 | - |
dc.identifier.doi | 10.6342/NTU202300658 | - |
dc.rights.note | 同意授權(限校園內公開) | - |
dc.date.accepted | 2023-03-08 | - |
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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