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The primary objective of this research project is to develop dual layered polymeric microparticles with a tunable delayed release profile. Poly(L-lactic acid) (PLA) and poly(lactic-co-glycolic acid) (PLGA) phase separate in a double emulsion process due to differences in hydrophobicity, which allows for the synthesis of double-walled microparticles with a PLA

The primary objective of this research project is to develop dual layered polymeric microparticles with a tunable delayed release profile. Poly(L-lactic acid) (PLA) and poly(lactic-co-glycolic acid) (PLGA) phase separate in a double emulsion process due to differences in hydrophobicity, which allows for the synthesis of double-walled microparticles with a PLA shell surrounding the PLGA core. The microparticles were loaded with bovine serum albumin (BSA) and different volumes of ethanol were added to the PLA shell phase to alter the porosity and release characteristics of the BSA. Different amounts of ethanol varied the total loading percentage of the BSA, the release profile, surface morphology, size distribution, and the localization of the protein within the particles. Scanning electron microscopy images detailed the surface morphology of the different particles. Loading the particles with fluorescently tagged insulin and imaging the particles through confocal microscopy supported the localization of the protein inside the particle. The study suggest that ethanol alters the release characteristics of the loaded BSA encapsulated in the microparticles supporting the use of a polar, protic solvent as a tool for tuning the delayed release profile of biological proteins.
ContributorsFauer, Chase Alexander (Author) / Stabenfeldt, Sarah (Thesis director) / Ankeny, Casey (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2015-05
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Description
This paper explores multidisciplinary curricula, services, and experiential learning in higher education on sustainability. Researchers attempt to understand sustainability as a formalized degree program, what frameworks and techniques are used to improve new disciplines, and how Arizona State University's School of Sustainability (SOS) improves sustainability education in higher learning. Secondary

This paper explores multidisciplinary curricula, services, and experiential learning in higher education on sustainability. Researchers attempt to understand sustainability as a formalized degree program, what frameworks and techniques are used to improve new disciplines, and how Arizona State University's School of Sustainability (SOS) improves sustainability education in higher learning. Secondary research includes a discussion on the history of sustainability as a discipline, the university as a social system, the role of university administration, the roles of professors and students, benchmarking and process improvement for curriculum development, and methods to bridge epistemologies in SOS. The paper presents findings from a study of the SOS undergraduate student experience that used focus groups to gather qualitative data and statistical analysis to analyze that data quantitatively. Study findings indicate that that measuring student perception of SOS's academic services, and understanding the social system of the university, helps administration, faculty, and students collaborate more effectively to enhance learning experiences.
ContributorsTom, Sharyn Paige (Author) / Haglund, LaDawn (Thesis director) / Ankeny, Casey (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / School of Sustainability (Contributor)
Created2015-05
Description

The goal of this research project is to create a Mathcad template file capable of statistically modelling the effects of mean and standard deviation on a microparticle batch characterized by the log normal distribution model. Such a file can be applied during manufacturing to explore tolerances and increase cost and

The goal of this research project is to create a Mathcad template file capable of statistically modelling the effects of mean and standard deviation on a microparticle batch characterized by the log normal distribution model. Such a file can be applied during manufacturing to explore tolerances and increase cost and time effectiveness. Theoretical data for the time to 60% drug release and the slope and intercept of the log-log plot were collected and subjected to statistical analysis in JMP. Since the scope of this project focuses on microparticle surface degradation drug release with no drug diffusion, the characteristic variables relating to the slope (n = diffusional release exponent) and the intercept (k = kinetic constant) do not directly apply to the distribution model within the scope of the research. However, these variables are useful for analysis when the Mathcad template is applied to other types of drug release models.

ContributorsHan, Priscilla (Author) / Vernon, Brent (Thesis director) / Nickle, Jacob (Committee member) / Harrington Bioengineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05