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LIQUID-CAPPED ENCODED MICROCAPSULE FOR MULTIPLEX ASSAYS : 다중 분석을 위한 코드화된 마이크로캡슐 제작

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dc.contributor.advisor권성훈-
dc.contributor.author송영훈-
dc.date.accessioned2017-10-27T16:42:49Z-
dc.date.available2017-10-27T16:42:49Z-
dc.date.issued2017-08-
dc.identifier.other000000144920-
dc.identifier.urihttps://hdl.handle.net/10371/136813-
dc.description학위논문 (박사)-- 서울대학교 대학원 공과대학 전기·컴퓨터공학부, 2017. 8. 권성훈.-
dc.description.abstractIn this dissertation, I introduce a new platform for the multiplex assays that enables the handling of thousands of different liquids in nanoliter volume. Handling tiny volume of liquids requires compartmentalization of precise volumes of the liquid, while preventing evaporation of the liquid in the air. Currently, the most representative method for handling small volume of the liquids is the droplet microfluidics, which compartmentalizes liquid droplets in immiscible oil phase to prevent the evaporation of the nanoliter volume of the liquid. The droplet microfluidics has been studied for more than a decade and the technology has now been applied in various biochemical applications such as drug screening, PCR enrichment for targeted sequencing and rare cell detection. Although its impact is already obvious in some applications, at present, the droplet microfluidics is used to analyze hundreds of thousands of aliquots of a single type of an analyte solution and there are few methods to process different analytes. Unlike common macroscale liquid carriers such as tubes and wells, which can be easily labeled to know their contents, the droplets are difficult to be labeled. To allow the droplet microfluidics with many different types of analytes, it would be necessary to label the droplets with a number of identification codes. In this dissertation, I solved this problem of labeling through the development of the encoded microcapsules.
First, I developed the microfluidic device that enables to encapsulate nanoliter liquid inside the solid Teflon microcapsule. Teflon is chemically and biologically inert and highly flexible. These properties of the Teflon enable to encapsulate the liquid stably without evaporation and cross-contamination. I found that a photoinitiator mixed with the Teflon has photoluminescence property after the exposure to the UV light. Using this property, for the first time, I engraved graphical codes on the shell of the microcapsule to label the liquid held inside. This graphical code enables to handle numerous kinds of liquids and to make a pooled chemical library by mixing and storing the differently encoded microcapsules in a tube.
For the multiplex assay with the encoded microcapsule, I also developed a microwell array platform that enables to assemble thousands of heterogeneous encoded microcapsules in the microwell array by a single pipetting process. The graphical codes on the microcapsules can be used to identify each liquid in the microcapsule even when they are randomly positioned in the microwells. To release the liquid inside the microcapsule, I also developed a laser releasing system for selective releasing and a mechanical releasing system for high-throughput releasing.
To validate that the platform can be used for various liquid-liquid or liquid-cell reactions, I performed an enzyme inhibitor screening with the β-galactosidase, a virus transduction, and a drug-induced apoptosis test using osteosarcoma cells (U2OS) and anticancer drugs. The results including the dose-response curves and the corresponding IC50 values of the enzyme inhibitor screening and cell viabilities of the drug-induced apoptosis test showed good agreement with the results obtained using a conventional well-plate platform, confirming that the encoded microcapsule can be an efficient alternative liquid-format screening platform.
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dc.description.tableofcontents1.Chapter1 1
1.1 Introduction of the Droplet Microfluidics 4
1.2 Principles of Droplet Microfluidics 6
1.2.1 Geometries for droplet generation 8
1.2.2 Fundamental models of droplet generation 10
1.3 Labelling Technologies of the Droplet 13
1.3.1 Spectral encoding 13
1.3.2 Positional encoding 14
1.4 Main Concept 16
2.Chapter2 19
2.1 Process for generation of the liquid-capped microcapsule 20
2.2 Fabrication of Microfluidic Device 22
2.3 Generation of the Double Emulsion Droplets 26
2.4 Flow-rate Control for Generation of Double Emulsion 30
2.5 Photopolymerization of the Double Emulsion Droplets 34
2.6 Properties of the Microcapsule 36
2.6.1 Leakage Test 36
2.6.2 Off-centering of the Microcapsule 37
2.6.3 Long Time Storage Test of the Liquid inside the Microcapsule 39
3.Chapter3 41
3.1 Photoluminescence property of DMPA 42
3.1.1 Photoluminescence property of DMPA 42
3.1.2 Properties of photolysis products of DMPA 43
3.2 Encoding Process 47
3.3 Code Variety of the Microcapsule 51
3.4 Characteristics of Code in Microcapsule 54
3.4.1 Variation of Fluorescence Intensity of encoded microcapsule 54
3.4.2 Code durability 56
3.5 Image Processing for Code Recognition 58
4.Chapter4 61
4.1 Fabrication of Microwell and Micropillar Array 62
4.2 Assembly of the Encoded Microcapsule 65
4.2.1 Self-assembly of the Encoded Microcapsule 65
4.2.2 Binomial Distribution of the Encoded Microcapsule Assembled in the Microwells 68
4.2.3 Transfer of the microcapsule array 70
4.3 Releasing of the Liquid inside the Microcapsule 73
4.3.1 Laser Releasing System 74
4.3.2 Mechanical Releasing System 76
5.Chapter5 79
5.1 Evaporation Test of the Microwell 80
5.2 Enzyme Inhibitor Screening 82
5.3 Virus Transduction 84
5.4 Drug-induced Apoptosis Test 86
5.5 Image Processing for Apoptotic Cell Counting 91
6.Chapter 6 93
Conclusion 93
Bibliography 96
Abstract in Korean 106
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dc.formatapplication/pdf-
dc.format.extent16070069 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectEncoded microcapsule-
dc.subjectLiquid encapsulation-
dc.subjectDroplet labeling-
dc.subjectMultiplex assay-
dc.subject.ddc621.3-
dc.titleLIQUID-CAPPED ENCODED MICROCAPSULE FOR MULTIPLEX ASSAYS-
dc.title.alternative다중 분석을 위한 코드화된 마이크로캡슐 제작-
dc.typeThesis-
dc.contributor.AlternativeAuthorYounghoon Song-
dc.description.degreeDoctor-
dc.contributor.affiliation공과대학 전기·컴퓨터공학부-
dc.date.awarded2017-08-
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