Synergistic solubilization
| dc.contributor.advisor | Yalkowsky, Samuel H. | en_US |
| dc.contributor.author | Millard, Jeffrey W. | |
| dc.creator | Millard, Jeffrey W. | en_US |
| dc.date.accessioned | 2013-05-09T10:42:42Z | |
| dc.date.available | 2013-05-09T10:42:42Z | |
| dc.date.issued | 2002 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10150/289853 | |
| dc.description.abstract | This 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.iso | en_US | en_US |
| dc.publisher | The University of Arizona. | en_US |
| dc.rights | Copyright © 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.subject | Chemistry, Pharmaceutical. | en_US |
| dc.subject | Chemistry, Physical. | en_US |
| dc.subject | Health Sciences, Pharmacy. | en_US |
| dc.title | Synergistic solubilization | en_US |
| dc.type | text | en_US |
| dc.type | Dissertation-Reproduction (electronic) | en_US |
| thesis.degree.grantor | University of Arizona | en_US |
| thesis.degree.level | doctoral | en_US |
| dc.identifier.proquest | 3073248 | en_US |
| thesis.degree.discipline | Graduate College | en_US |
| thesis.degree.discipline | Pharmaceutical Sciences | en_US |
| thesis.degree.name | Ph.D. | en_US |
| dc.identifier.bibrecord | .b43473088 | en_US |
| refterms.dateFOA | 2018-06-27T04:40:52Z | |
| html.description.abstract | This 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. |
