title: A retrospective mathematical analysis of controlled release design and experimentation.
abstract: The development and performance evaluation of new biodegradable polymer controlled release formulations relies on successful interpretation and evaluation of in vitro release data. However, depending upon the extent of empirical characterization, release data may be open to more than one qualitative interpretation. In this work, a predictive model for release from degradable polymer matrices was applied to a number of published release data in order to extend the characterization of release behavior. Where possible, the model was also used to interpolate and extrapolate upon collected released data to clarify the overall duration of release and also kinetics of release between widely spaced data points. In each case examined, mathematical predictions of release coincide well with experimental results, offering a more definitive description of each formulation's performance than was previously available. This information may prove particularly helpful in the design of future studies, such as when calculating proper dosing levels or determining experimental end points in order to more comprehensively evaluate a controlled release system's performance.
authors.affiliation: Department of Chemical Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
authors.forename: Sam N
authors.initials: SN
authors.lastname: Rothstein
authors.forename: Jennifer E
authors.initials: JE
authors.lastname: Kay
authors.forename: Francisco J
authors.initials: FJ
authors.lastname: Schopfer
authors.forename: Bruce A
authors.initials: BA
authors.lastname: Freeman
authors.forename: Steven R
authors.initials: SR
authors.lastname: Little
mesh_terms: D055252:Cell-Derived Microparticles; D002626:Chemistry, Pharmaceutical; D016503:Drug Delivery Systems; D006801:Humans; D007700:Kinetics; D019344:Lactic Acid / Q000737:chemistry*; D008962:Models, Theoretical; D011100:Polyglycolic Acid / Q000737:chemistry*; D000077182:Polylactic Acid-Polyglycolic Acid Copolymer; D011108:Polymers / Q000737:chemistry*; D012189:Retrospective Studies; D013482:Superoxide Dismutase / Q000378:metabolism*
chemical_list: D011108:Polymers; D000077182:Polylactic Acid-Polyglycolic Acid Copolymer; D011100:Polyglycolic Acid; D019344:Lactic Acid; D013482:Superoxide Dismutase