Polycaprolactone thin-film drug delivery systems: Empirical and predictive models for device design.
作者： Erica Schlesinger , Natalie Ciaccio , Tejal A. Desai
DOI: 10.1016/J.MSEC.2015.07.027
关键词:
摘要: Abstract Purpose To define empirical models and parameters based on theoretical equations to describe drug release profiles from two polycaprolactone thin-film delivery systems. Additionally, develop a predictive model for drugs' physicochemical properties. Methods Release selection of drugs representing the standard pharmaceutical space in both matrix reservoir systems were determined experimentally. The proposed used calculate describing diffusion release. Observed correlations between properties predict Predictive evaluated design three prototype devices: levonorgestrel system on-demand locally administered contraception, timolol-maleate glaucoma treatment, primaquine-bisphosphate malaria prophylaxis. Results Proposed accurately fit experimental data. Experimentally derived show significant with LogP, molecular weight, solubility. Empirical predicted data systems, demonstrating accuracy utility these models. Conclusion can be devices target geometries rates. Together, provide tools preliminary evaluation controlled-release
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