NDLI: Polycaprolactone thin-film drug delivery systems: Empirical and predictive models for device design.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Schlesinger, Erica Ciaccio, Natalie Desai, Tejal A.
Description	Country affiliation: United States Author Affiliation: Schlesinger E ( University of California, Berkeley-University of California San Francisco Graduate Program in Bioengineering, CA, USA.); Ciaccio N ( Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA); Desai TA ( University of California, Berkeley-University of California San Francisco Graduate Program in Bioengineering, CA, USA)
Abstract	PURPOSE: To define empirical models and parameters based on theoretical equations to describe drug release profiles from two polycaprolactone thin-film drug delivery systems. Additionally, to develop a predictive model for empirical parameters based on drugs' physicochemical properties. METHODS: Release profiles from a selection of drugs representing the standard pharmaceutical space in both polycaprolactone matrix and reservoir systems were determined experimentally. The proposed models were used to calculate empirical parameters describing drug diffusion and release. Observed correlations between empirical parameters and drug properties were used to develop equations to predict parameters based on drug properties. Predictive and empirical models were evaluated in the design of three prototype devices: a levonorgestrel matrix system for on-demand locally administered contraception, a timolol-maleate reservoir system for glaucoma treatment, and a primaquine-bisphosphate reservoir system for malaria prophylaxis. RESULTS: Proposed empirical equations accurately fit experimental data. Experimentally derived empirical parameters show significant correlations with LogP, molecular weight, and solubility. Empirical models based on predicted parameters accurately predict experimental release data for three prototype systems, demonstrating the accuracy and utility of these models. CONCLUSION: The proposed empirical models can be used to design polycaprolactone thin-film devices for target geometries and release rates. Empirical parameters can be predicted based on drug properties. Together, these models provide tools for preliminary evaluation and design of controlled-release delivery systems.
File Format	HTM / HTML
ISSN	09284931
Volume Number	57
e-ISSN	18730191
Journal	Materials Science and Engineering: C
Language	English
Publisher	Elsevier
Publisher Date	2015-12-01
Publisher Place	Netherlands
Access Restriction	Subscribed
Subject Keyword	Discipline Materials Science Drug Design Models, Chemical Nanocapsules Chemistry Ultrastructure Pharmaceutical Preparations Polyesters Absorption, Physicochemical Computer Simulation Delayed-action Preparations Chemical Synthesis Diffusion Materials Testing Administration & Dosage Journal Article Research Support, N.i.h., Extramural Research Support, Non-u.s. Gov't Research Support, U.s. Gov't, Non-p.h.s.
Content Type	Text
Resource Type	Article
Subject	Mechanics of Materials Biomaterials Condensed Matter Physics Bioengineering Mechanical Engineering

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