Title page for ETD etd-0124102-083259


Type of Document Dissertation
Author Ford, Sean M.
Author's Email Address sford@lsu.edu
URN etd-0124102-083259
Title Fabricating Microfluidic Devices in Polymers for Bioanalytical Applications
Degree Doctor of Philosophy (Ph.D.)
Department Chemistry
Advisory Committee
Advisor Name Title
Steve Soper Committee Chair
Erwin Poliakoff Committee Member
Robin McCarley Committee Member
William Daly Committee Member
Clay Hodgin Dean's Representative
Keywords
  • electrophoresis
  • microfluidics
  • microfabrication
Date of Defense 2001-04-26
Availability unrestricted
Abstract
The research presented in this document focuses on the fabrication, characterization and application of microfluidic systems fabricated in poly(methyl methacrylate) (PMMA) with the emphasis focused on the fabrication processing steps. Microfluidic devices were produced in PMMA using X-ray lithography. The fabrication methods investigated were sacrificial mask, polyimide membrane mask and embossing techniques. PMMA microfluidic devices fabricated using X-ray lithography were characterized using scanning electron microscopy (SEM) and optical microscopy, while analytical techniques such as electroosmotic flow determination, separations, and fluorescent microscopy were used to characterize fluid transport in these devices. A novel method for the heat annealing of PMMA to PMMA to create a closed system is described. Characterization of this technique was carried out by optical microscopy and scanning electron microscopy.

The manufacturing techniques utilized in producing mold inserts for hot embossing and injection molding is discussed as well. Both the mold insert and devices produced from the inserts were characterized using scanning electron microscopy. Devices produced can be used to perform a number of analytical techniques including single molecule detection and fluorescence lifetime monitoring. The primary goal of this research was to develop molding tools consisting of high-aspect-ratio microstructures using robust and reproducible processing steps.

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