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Expression Optimization Of The Gst-Gfp Fusion Protein Through The Alteration Of Induction Conditions, Matthew J. Vaccaro
Expression Optimization Of The Gst-Gfp Fusion Protein Through The Alteration Of Induction Conditions, Matthew J. Vaccaro
Honors Undergraduate Theses
This research sought to determine which induction condition resulted in the greatest GST-GFP fusion protein expression. It will hopefully serve as a guide for future researchers trying to produce their own recombinant protein containing GST and GFP-tags. The CDNB Enzyme Assay was used to determine the quantity of GST-GFP fusion protein present and tested three variables: IPTG concentration, duration, and temperature of induction. The findings showed that IPTG concentration, temperature, and induction duration all had a significant impact on protein expression. Induction temperatures of 20 °C and 25 °C showed better protein expression at IPTG concentrations of 1.0 mM IPTG …
A Framework For The Automatic Identification Of Optimized Yield Surface Parameters, Kevin Hanekom
A Framework For The Automatic Identification Of Optimized Yield Surface Parameters, Kevin Hanekom
Honors Undergraduate Theses
Advanced engineering materials are designed to display tensile-compressive asymmetry (TCA) and anisotropy to provide unique attributes to critical components necessary in the hot section of turbines. The never-ending chase for higher efficiencies, and with them, higher temperature gradients, intrinsically leads to more and more of these complex materials, like single crystal turbine blades, embedded within the turbine environment. Mathematical models, known as yield criteria, allow engineers to visualize the mechanical behavior of these materials in various orientations under complex loading. Yield criteria are dependent on three key items in determination of their governing parameters: material test data, mathematical constraints, and …
A Parametric Study Of Meso-Scale Patterns For Auxetic Mechanical Behavior Optimization, Matthew C. Schuler
A Parametric Study Of Meso-Scale Patterns For Auxetic Mechanical Behavior Optimization, Matthew C. Schuler
Honors Undergraduate Theses
This thesis focuses on the development, parameterization and optimization of a novel meso-scale pattern used to induce auxetic behavior, i.e., negative Poisson's ratio, at the bulk scale. Currently, the majority of auxetic structures are too porous to be utilized in conventional load-bearing applications. For others, manufacturing methods have yet to realize the meso-scale pattern. Consequently, new auxetic structures must be developed in order to confer superior thermo-mechanical responses to structures at high temperature. Additionally, patterns that take into account manufacturing limitations, while maintaining the properties characteristically attached to negative Poisson's Ratio materials, are ideal in order to utilize the potential …