<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T00:27:20Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/128323" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/128323</identifier><datestamp>2026-06-16T18:14:38Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Jongyoon Han.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Ouyang, Wei,Ph.D.Massachusetts Institute of Technology.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2020-11-03T20:30:41Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2020-11-03T20:30:41Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/128323</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1201519554</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2020</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 182-200).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Rapid and reliable detection of ultralow-abundance nucleic acids and proteins in complex biological media may greatly advance clinical diagnostics and biotechnology development. Because of the slow mass transport and weak binding kinetics at ultralow concentration of target biomolecules, enrichment of target biomolecules plays an essential role in the detection of ultralow-abundance biomolecules. Currently, nucleic acid tests rely on enzymatic processes for target amplification (e.g. polymerase chain reaction), which have many inherent issues restricting their implementation in diagnostics. On the other hand, there exist no protein amplification techniques, greatly limiting the development of protein-based diagnosis.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">By learning from the desired and undesired features of existing techniques, we designed the blueprint of the next-generation biomolecule enrichment technique, which should ideally be universally applicable to all kinds of biomolecules and be capable of specifically enriching only the target biomolecules among the background biomolecules by billion-fold rapidly. Electrokinetic concentration is a promising candidate for the next-generation biomolecule enrichment technique, because of its simple architecture and ease of operation, high concentration speed, universal applicability, and the rich physics of the system that may enable the development of new functionalities. We defined a technical roadmap of engineering the primitive electrokinetic concentration technique toward the next-generation biomolecule enrichment technique. We start by deciphering the mechanism of electrokinetic concentration (Chapter 2), which is instrumental in the rational design and innovation of the system.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">We next developed specific enrichment of target biomolecules in the electrokinetic concentrator based on electrophoretic mobility-based separation and mobility engineering of affinity binders (Chapter 3). We went on to realize the billion-fold enrichment capability of electrokinetic concentrator by massive parallelization and hierarchical cascading of unit electrokinetic concentrators (Chapter 4). After that, we demonstrated the engineered electrokinetic concentrator as an integrated, self-contained platform for universal amplification-free molecular diagnostics (Chapter 5). Finally, we interfaced the engineered electrokinetic concentrator with standard analytics to enhance their analysis sensitivity and greatly simplify their workflows (Chapter 6). At the end of the thesis, we conclude this thesis and present our outlooks on the future directions (Chapter 7).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Wei Ouyang.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">200 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Hierarchical selective electrokinetic concentration : the universal next-generation biomolecule enrichment technique for molecular diagnostics</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Universal next-generation biomolecule enrichment technique for molecular diagnostics</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   <dim:field mdschema="dspace" element="imported" lang="en_US">2020-11-03T20:30:40Z</dim:field>
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   <dim:field mdschema="mit" element="thesis" qualifier="degree" lang="en_US">Doctoral</dim:field>
   <dim:field mdschema="mit" element="thesis" qualifier="department" lang="en_US">EECS</dim:field>
   <dim:field mdschema="others" element="access-status">unknown</dim:field>
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   	&lt;Title>Hierarchical selective electrokinetic concentration : the universal next-generation biomolecule enrichment technique for molecular diagnostics&lt;/Title>
   	&lt;Subtitle>Universal next-generation biomolecule enrichment technique for molecular diagnostics&lt;/Subtitle>
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   	&lt;PublicationDate>2020&lt;/PublicationDate>
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        	&lt;DisplayName>Ouyang, Wei,Ph.D.Massachusetts Institute of Technology.&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>Rapid and reliable detection of ultralow-abundance nucleic acids and proteins in complex biological media may greatly advance clinical diagnostics and biotechnology development. Because of the slow mass transport and weak binding kinetics at ultralow concentration of target biomolecules, enrichment of target biomolecules plays an essential role in the detection of ultralow-abundance biomolecules. Currently, nucleic acid tests rely on enzymatic processes for target amplification (e.g. polymerase chain reaction), which have many inherent issues restricting their implementation in diagnostics. On the other hand, there exist no protein amplification techniques, greatly limiting the development of protein-based diagnosis.&lt;/Abstract>
   	&lt;Abstract>By learning from the desired and undesired features of existing techniques, we designed the blueprint of the next-generation biomolecule enrichment technique, which should ideally be universally applicable to all kinds of biomolecules and be capable of specifically enriching only the target biomolecules among the background biomolecules by billion-fold rapidly. Electrokinetic concentration is a promising candidate for the next-generation biomolecule enrichment technique, because of its simple architecture and ease of operation, high concentration speed, universal applicability, and the rich physics of the system that may enable the development of new functionalities. We defined a technical roadmap of engineering the primitive electrokinetic concentration technique toward the next-generation biomolecule enrichment technique. We start by deciphering the mechanism of electrokinetic concentration (Chapter 2), which is instrumental in the rational design and innovation of the system.&lt;/Abstract>
   	&lt;Abstract>We next developed specific enrichment of target biomolecules in the electrokinetic concentrator based on electrophoretic mobility-based separation and mobility engineering of affinity binders (Chapter 3). We went on to realize the billion-fold enrichment capability of electrokinetic concentrator by massive parallelization and hierarchical cascading of unit electrokinetic concentrators (Chapter 4). After that, we demonstrated the engineered electrokinetic concentrator as an integrated, self-contained platform for universal amplification-free molecular diagnostics (Chapter 5). Finally, we interfaced the engineered electrokinetic concentrator with standard analytics to enhance their analysis sensitivity and greatly simplify their workflows (Chapter 6). At the end of the thesis, we conclude this thesis and present our outlooks on the future directions (Chapter 7).&lt;/Abstract>
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