<?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>2026-09-20T15:24:43Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/63085" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/63085</identifier><datestamp>2022-01-13T07:53:45Z</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">James C. Weaver.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Smith, Kyle Christopher</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Harvard University--MIT Division of Health Sciences and Technology.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Harvard University--MIT Division of Health Sciences and Technology</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-05-23T18:15:20Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2011-05-23T18:15:20Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/63085</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">725958797</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, February 2011.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">"February 2011." Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Biological membranes form transient, conductive pores in response to elevated transmembrane voltage, a phenomenon termed electroporation. These pores facilitate electrical and molecular transport across cell membranes that are normally impermeable. By applying pulsed electric fields to cells, electroporation can be used to deliver nucleic acids, drugs, and other molecules into cells, making it a powerful research tool. Because of its widely demonstrated utility for in vitro applications, researchers are increasingly investigating related in vivo clinical applications of electroporation, such as gene delivery, drug delivery, and tissue ablation. In this thesis, we describe a quantitative, mechanistic model of electroporation and concomitant molecular transport that can be used for guiding and interpreting electroporation experiments and applications. The model comprises coupled mathematical descriptions of electrical transport, electrodiffusive molecular transport, and pore dynamics. Where possible, each of these components is independently validated against experimental results in the literature. We determine the response of a discretized cell system to an applied electric pulse by assembling the discretized transport relations into a large system of nonlinear differential equations that is efficiently solved and analyzed with MATLAB. We validate the model by replicating in silico two sets of experiments in the literature that measure electroporation-mediated transport of fluorescent probes. The model predictions of molecular uptake are in excellent agreement with these experimental measurements, for which the applied electric pulses collectively span nearly three orders of magnitude in pulse duration (50 ts -20 ms) and an order of magnitude in pulse magnitude (0.3 -3 kV/cm). The advantages of our theoretical approach are the ability to (1) analyze in silico the same quantities that are measured by experimental studies in vitro, (2) simulate electroporation dynamics that are difficult to assess experimentally, and (3) quickly screen a wide array of electric pulse waveforms for particular applications. We believe that our approach will contribute to a greater understanding of the mechanisms of electroporation and provide an in silico platform for guiding new experiments and applications.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Kyle Christopher Smith.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">292 p.</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">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
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permission. See provided URL for inquiries about permission.</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">Harvard University--MIT Division of Health Sciences and Technology.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">A unified model of electroporation and molecular transport</dim:field>
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   	&lt;Title>A unified model of electroporation and molecular transport&lt;/Title>
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   	&lt;PublicationDate>2011&lt;/PublicationDate>
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        	&lt;DisplayName>Smith, Kyle Christopher&lt;/DisplayName>
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   	&lt;Abstract>Biological membranes form transient, conductive pores in response to elevated transmembrane voltage, a phenomenon termed electroporation. These pores facilitate electrical and molecular transport across cell membranes that are normally impermeable. By applying pulsed electric fields to cells, electroporation can be used to deliver nucleic acids, drugs, and other molecules into cells, making it a powerful research tool. Because of its widely demonstrated utility for in vitro applications, researchers are increasingly investigating related in vivo clinical applications of electroporation, such as gene delivery, drug delivery, and tissue ablation. In this thesis, we describe a quantitative, mechanistic model of electroporation and concomitant molecular transport that can be used for guiding and interpreting electroporation experiments and applications. The model comprises coupled mathematical descriptions of electrical transport, electrodiffusive molecular transport, and pore dynamics. Where possible, each of these components is independently validated against experimental results in the literature. We determine the response of a discretized cell system to an applied electric pulse by assembling the discretized transport relations into a large system of nonlinear differential equations that is efficiently solved and analyzed with MATLAB. We validate the model by replicating in silico two sets of experiments in the literature that measure electroporation-mediated transport of fluorescent probes. The model predictions of molecular uptake are in excellent agreement with these experimental measurements, for which the applied electric pulses collectively span nearly three orders of magnitude in pulse duration (50 ts -20 ms) and an order of magnitude in pulse magnitude (0.3 -3 kV/cm). The advantages of our theoretical approach are the ability to (1) analyze in silico the same quantities that are measured by experimental studies in vitro, (2) simulate electroporation dynamics that are difficult to assess experimentally, and (3) quickly screen a wide array of electric pulse waveforms for particular applications. We believe that our approach will contribute to a greater understanding of the mechanisms of electroporation and provide an in silico platform for guiding new experiments and applications.&lt;/Abstract>
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