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dc.contributor.advisorYalkowsky, Samuel H.en_US
dc.contributor.authorMillard, Jeffrey W.
dc.creatorMillard, Jeffrey W.en_US
dc.date.accessioned2013-05-09T10:42:42Z
dc.date.available2013-05-09T10:42:42Z
dc.date.issued2002en_US
dc.identifier.urihttp://hdl.handle.net/10150/289853
dc.description.abstractThis Dissertation presents a number of projects and novel ideas related to pharmaceutical solution chemistry, including: combination solubilization and formulation techniques, predictive modeling methods, and experimentally demonstrated complexation theory. Chapter 1 presents both the underlying theory and experimental results of a formulation project for a novel anticancer drug which resulted in an 8,000-fold increase in solubility. Chapter 2 presents an extensive computer and literature-based predictive model for the estimation of cosolvent solubilization. Finally, Chapter 3 presents an exhaustive theoretical derivation with experimental validation of a novel method to determine complexation stability constants in mixed stoichiometric systems of cyclodextrin complexes.
dc.language.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectChemistry, Pharmaceutical.en_US
dc.subjectChemistry, Physical.en_US
dc.subjectHealth Sciences, Pharmacy.en_US
dc.titleSynergistic solubilizationen_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.identifier.proquest3073248en_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplinePharmaceutical Sciencesen_US
thesis.degree.namePh.D.en_US
dc.identifier.bibrecord.b43473088en_US
refterms.dateFOA2018-06-27T04:40:52Z
html.description.abstractThis Dissertation presents a number of projects and novel ideas related to pharmaceutical solution chemistry, including: combination solubilization and formulation techniques, predictive modeling methods, and experimentally demonstrated complexation theory. Chapter 1 presents both the underlying theory and experimental results of a formulation project for a novel anticancer drug which resulted in an 8,000-fold increase in solubility. Chapter 2 presents an extensive computer and literature-based predictive model for the estimation of cosolvent solubilization. Finally, Chapter 3 presents an exhaustive theoretical derivation with experimental validation of a novel method to determine complexation stability constants in mixed stoichiometric systems of cyclodextrin complexes.


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