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An investigation into separation enhancement methods for miniaturised planar capillary electrophoresis devices

Lewis, Adam P. (2013) An investigation into separation enhancement methods for miniaturised planar capillary electrophoresis devices University of Southampton, Faculty of Applied Sciences, Doctoral Thesis , 288pp.

Record type: Thesis (Doctoral)


The analytical capability of field-portable instruments and in-situ devices is often limited due to cost, complexity and spatial restrictions. With powerful analytical methods incorporated onto miniaturised sensor platforms, in-depth sample and environmental examinations become feasible. There has been significant research reported in the literature for improving miniaturised capillary electrophoresis systems alongside lab-on-a-chip applications. The work presented in this thesis discusses the development of novel methods to improve the separation resolution of capillary electrophoresis on microfluidic devices without compromising device size. Further to this, complex chemical buffering systems have been avoided since they tend to make the end device highly application specific.
The separation resolution of capillary electrophoresis can be enhanced by dynamic control of the electroosmotic flow. This is achieved through control of the zeta-potential, which can be modified by applying a potential to an electrode close to the surface of the separation channel. The separation enhancement methods increase the effective channel length and therefore can be used to aid the incorporation of capillary electrophoresis into both portable field instruments and for in-situ systems.
Computational models have been developed for an in-depth investigation into the proposed separation enhancement routines. Where possible, these models have been experimentally verified. The operation limits of the enhancement methods have been investigated, and related to the composition of the sample to infer design criteria.

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Published date: September 2013
Organisations: University of Southampton, EEE


Local EPrints ID: 360387
PURE UUID: b19d84e4-49e4-49d8-846e-37502ac69f9e
ORCID for Nicholas Harris: ORCID iD

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Date deposited: 07 Jan 2014 11:44
Last modified: 18 Jul 2017 03:13

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Author: Adam P. Lewis
Thesis advisor: Nicholas Harris ORCID iD

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