Microfluidic biosensors and bioreactors based on
immobilized biomaterials are described in this dissertation.
Photocrosslinkable hydrogel or polymeric microbeads
were used as a supporting matrix for immobilizing E.coli or
enzymes in a microfluidic device. This dissertation covers
a microfluidic bioreactor based on hydrogel-entrapped
E.coli, a microfluidic biosensor based on an array of
hydrogel-entrapped enzymes, and a microfluidic bioreactor
based on microbead-immobilized enzymes.
Hydrogel micropatches containing E.coli were
fabricated within a microfluidic channel by in-situ
photopolymerization. The cells were viable in the hydrogel
micropatch and their membranes could be porated by lysating
agents. Entrapment of viable cells within hydrogels,
followed by lysis, could provide a convenient means for preparing biocatalysts without the need for enzyme
extraction and purification. Our results suggested that
hydrogel-entrapped cells, immobilized within microfluidic
channels, can act as sensors for small molecules and as
bioreactors for carrying out reactions.
A microfluidic biosensor based on an array of
hydrogel-entrapped enzymes could be used to simultaneously
detect different concentrations of the same analyte or
multiple analyte in real time. The concentration of an
enzyme inhibitor could be quantified using the same basic
approach. Isolations of the microchannels within different
microfluidic channels could eliminate the possibility of
cross talk between enzymes.
Finally, we characterized microfluidic bioreactors
packed with microbead-immobilized enzymes that can carry
out sequential, two-step enzyme-catalyzed reactions under
flow conditions. The overall efficiency of the reactors
depended on the spatial relationship of the two enzymes
immobilized on the beads. Digital simulations confirmed the
experimental results.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/4688 |
| Date | 25 April 2007 |
| Creators | Heo, Jinseok |
| Contributors | Crooks, Richard M |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | 44180147 bytes, electronic, application/pdf, born digital |
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