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Perfect boundaries in particle separation arrays through automated iterative geometry

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thesis
posted on 28.03.2022, 19:01 authored by Taylor Corbett
In the past few decades micro-fluidic separation devices have become more prominent in the world of particle and cell separation. Particularly in the last few years such devices have seen an increased spotlight in the public eye with companies like Theranos claiming to have accurate, cheap and portable blood analysis tools. This paper will focus on the micro-fluidic separation technique known as DLD ( deterministic lateral displacement) and attempt to solve a major issue with DLD arrays. The quality of fluid flow through the boundaries of DLD arrays is not ideal, leading to issues with concentrations of particles along these boundaries. A solution was achieved through the use of MATLAB and COMSOL 3.5a, in which two DLD arrays were constructed using previous literature as a basis. These arrays were then modified using a looping set of code which provides feedback into the system based on a number of quality factors which are compared to and approach ideal theoretical values. The adjusted arrays were then compared to the initial arrays and the quantity of flow throughout the arrays was then examined and discussed. This document provides a source of introductory information on DLD, provides a solution to the issue highlighted, and further provides a discussion of the effectiveness of this solution in the rectification of this problem.

History

Table of Contents

1. Introduction -- 2. Background and related work -- 3. Known model comparison -- 4. Basic MATLAB input and feedback control -- 5. Construction of DLD array -- 6. Results and discussion : proposed DLD array -- 7. Advanced DLD array : introduction, background and results -- 8. Final conclusions -- 9. Abbreviations -- Appendices -- Bibliography.

Notes

Empirical thesis. Bibliography: pages 109-110

Awarding Institution

Macquarie University

Degree Type

Thesis bachelor honours

Degree

BSc (Hons), Macquarie University, Faculty of Science and Engineering, School of Engineering

Department, Centre or School

School of Engineering

Year of Award

2016

Principal Supervisor

David Inglis

Rights

Copyright Taylor Corbett 2016. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (xviii, 110 pages colour illustrations)

Former Identifiers

mq:70319 http://hdl.handle.net/1959.14/1262511

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