University of Illinois Urbana-Champaign

Simulation model of a microfluidic point of care biosensor for electrical enumeration of blood cells

Jankelow, Aaron Mitchell

Content Files
JANKELOW-THESIS-2018.pdf

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https://hdl.handle.net/2142/101193

Description

Title
Simulation model of a microfluidic point of care biosensor for electrical enumeration of blood cells
Author(s)
Jankelow, Aaron Mitchell
Issue Date
2018-04-20
Director of Research (if dissertation) or Advisor (if thesis)
Bashir, Rashid
Department of Study
Bioengineering
Discipline
Bioengineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2018-09-04T20:36:47Z
Keyword(s)
Finite Element Analysis, Sepsis, microfluidics, COMSOL, coulter counter
Abstract
Point of care microfluidic devices provide many opportunities for improving the diagnosis of a number of illnesses. They can provide a speedy, quantitative assay in the form of an easy to use portable platform. By using Finite Element Analysis software to model and simulate these microfluidic devices, we can further optimize and improve on the design of such devices. In this work we will use such software in order to model an electrical counting chamber that would be implemented in such a device. This chamber utilizes the coulter counting principle to measure the change in impedance caused when a bead or a cell passes over a series of electrodes. By utilizing the signals to count the number of cells coming into and out of a capture chamber that targets a specific antigen, we can obtain a quantitative measure of how many cells or beads were expressing the target antigen and use this for a diagnosis. First the simulation was tuned to be able to produce the characteristic bipolar pulse when a cell passed over the electrodes. Then by varying elements such as bead size, input voltage, bead composition and electrode placement and recording the results we can use this model to help further refine and optimize this device by giving us a quantitative model that will allow us to better understand how changing such variables will alter the signal received from the device and thus allow us a better understanding of the best way to get a clearer signal.
Graduation Semester
2018-05
Type of Resource
text
Permalink
http://hdl.handle.net/2142/101193
Copyright and License Information
Copyright 2018 Aaron Jankelow

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Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois
Dissertations and Theses - Bioengineering