A framework to compartmentalize microfluidic surfaces was developed. Substrates are separated from surface modifying agents with an intermediate binding layer (IBL). The IBL is comprised of two compounds which bind together using a non-covalent interaction; a host compound is immobilized on the substrate, and a guest compound is conjugated to the surface modifying agent. The primary benefit of the IBL architecture is adaptability: substrates and surface compounds become modular components with standard connectors.
Beta-Cyclodextrin (BCD) and adamantane (AD) were selected as the model immobilized host and conjugated guest, respectively. A quartz crystal microbalance (QCM) was assembled and developed to study the BCD/AD complexation interaction. Kinetic, thermodynamic, and Langmuir isotherm data were reported for AD-derivatives binding with immobilized BCD. QCM was also used to investigate neutravidin (NA) binding onto AD-PEG and AD-PEG-biotin coatings immobilized to t-BCD surfaces. QCM was an effective platform to validate the use of BCD/AD as the IBL interaction prior to microfluidic implementation.
The BCD/AD IBL was successfully demonstrated in a microfluidic environment. Microfluidic devices were fabricated using the soft-lithographic technique. Adapted surface modifications were visualized using fluorescein isothiocyanate (FITC) probes within the microfluidic device and detected using confocal laser scanning microscopy (CLSM). Surface modifications were applied to demonstrate the fundamental functions of surface passivation, specific binding, and visualization using the IBL architecture. Consistent with QCM data, AD-PEG passivated the surface and AD-PEG-biotin specifically bound NA to the BCD surface. Thus, an adaptable surface modification architecture for microfluidic applications was developed and demonstrated.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/11246 |
| Date | 01 August 2008 |
| Creators | Poon, Kevin Hing-Nin |
| Contributors | Cheng, Yu-Ling |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
| Format | 17788655 bytes, application/pdf |
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