<?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>2026-09-23T04:37:36Z</responseDate><request verb="GetRecord" identifier="oai:www.repository.cam.ac.uk:1810/346085" metadataPrefix="uketd_dc">https://api.repository.cam.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:www.repository.cam.ac.uk:1810/346085</identifier><datestamp>2023-12-22T13:39:50Z</datestamp><setSpec>com_1810_198332</setSpec><setSpec>com_1810_256064</setSpec><setSpec>col_1810_214775</setSpec></header><metadata><uketd_dc:uketddc xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/ http://naca.central.cranfield.ac.uk/ethos-oai/2.0/uketd_dc.xsd">
   <dc:title>Quantification of membrane transport rates using optofluidics</dc:title>
   <dc:identifier xsi:type="dcterms:DOI">10.17863/CAM.93510</dc:identifier>
   <dc:creator>Fletcher, Marcus</dc:creator>
   <uketdterms:advisor>Keyser, Ulrich</uketdterms:advisor>
   <dcterms:abstract>The transport of ions and small molecules across membranes is a ubiquitous process in
biological systems. Effective studies of membrane transport phenomena require suitable
model membrane systems, efficient methods to quantify transport kinetics and a robust
theoretical framework to derive constitutive transport parameters. This thesis advances all
of these aspects of transport measurements through a combination of experimentation and
modelling. First, Octanol-assisted Liposome Assembly (OLA) - an existing microfluidic
Giant Unilamellar lipid Vesicle (GUV) formation method – is refined by the integration with
a novel Pinched Flow Fractionation (PFF) purification module. PFF removes formationassociated
residues at a range of length-scales, from surfactant molecules to oil droplets,
with high efficiency, leading to more homogeneous model systems for transport studies. The
application of PFF to soft systems like GUVs reveals that PFF separates particles based
on deformability and not merely on size as previously assumed. Integrating OLA and PFF
allows for controlled fusion between oppositely charged vesicles on a single microfluidic
device, enabling the sequential assembly of advanced membrane models directly on-chip.
Next, we develop computational image processing algorithms to quantify transport in
fluorescence experiments with single-vesicle resolution. We apply these techniques to the
analysis of GUVs whose membranes are disrupted by membrano-lytic peptides, determining
distributions of peptide-induced membrane disruption rates. By modelling the shapes of the
extracted distributions, different modes of action by different peptides are revealed, providing
insight into how these peptides function as membrane-permeabilizing agents.
Finally, we combine microfluidic manipulation and DNA nanotechnology to develop a
novel technique for the quantification of potassium ion transport at the single vesicle level.
By theoretically modelling ion transfer across model cell membranes, we can quantify ion
transport parameters, including potassium ion permeability and ionic selectivities. We apply
this technique to the study of different membrane models, including lipid vesicles formed
using different methodologies and membranes with embedded prototypical ion channels,
building further complexity in our biomimetic system. These experiments demonstrate the
versatility of our method for the quantification of transport in membranes with different
compositions and physical properties.</dcterms:abstract>
   <uketdterms:institution>University of Cambridge</uketdterms:institution>
   <dcterms:issued>2022-08-01</dcterms:issued>
   <dc:type>Thesis</dc:type>
   <uketdterms:qualificationlevel>Doctoral</uketdterms:qualificationlevel>
   <uketdterms:qualificationname>Doctor of Philosophy (PhD)</uketdterms:qualificationname>
   <dc:language>eng</dc:language>
   <dcterms:isReferencedBy xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/handle/1810/346085</dcterms:isReferencedBy>
   <dc:identifier xsi:type="dcterms:URI">https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/f06d2a62-9823-4b1b-9f0d-f959562286ab/download</dc:identifier>
   <uketdterms:checksum xsi:type="uketdterms:MD5">4a519a104ec4a1efa0bfaeff34d28ed2</uketdterms:checksum>
   <dc:rights>https://www.rioxx.net/licenses/all-rights-reserved/</dc:rights>
   <dc:subject>Membrane</dc:subject>
   <dc:subject>transport</dc:subject>
   <dc:subject>ion transport</dc:subject>
   <dc:subject>DNA aptamers</dc:subject>
   <dc:subject>G-quadruplex</dc:subject>
   <dc:subject>antimicrobial peptides</dc:subject>
   <dc:subject>Giant Unilamellar Vesicles</dc:subject>
   <dc:subject>microfluidics</dc:subject>
</uketd_dc:uketddc>
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