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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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Chronic stress has been linked as a probable contributor to a number of health problems that plague the world today. Obesity, cardiovascular disease, depression, and osteoporosis are all common health risks believed to be exacerbated by stress. While it is nether realistic nor desirable to completely eliminate stress in an

Chronic stress has been linked as a probable contributor to a number of health problems that plague the world today. Obesity, cardiovascular disease, depression, and osteoporosis are all common health risks believed to be exacerbated by stress. While it is nether realistic nor desirable to completely eliminate stress in an individual, proper stress management is important to a healthy lifestyle. Homeostasis is the primary mechanism by which stress, and the stress response, should be analyzed. Environmental factors known as stressors elicit responses from the body, which can be measured in terms of duration and magnitude. These two factors determine the homeostatic response from the body. This thesis proposes the study of heart rate variability (HRV) to measure the response of the autonomic nervous system through time domain analysis (the length of interbeat intervals) and frequency domain analysis (the differences between the lengths of consecutive interbeat intervals). Even with many possible problems, this data still represents valuable proof of concept that HRV analysis may be of use in identifying stress.
ContributorsUchimura, Kevin (Author) / LaBelle, Jeffrey (Thesis director) / Pizziconi, Vincent (Committee member) / Stabenfeldt, Sarah (Committee member) / Barrett, The Honors College (Contributor)
Created2012-05
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