School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
J Biomed Mater Res A. 2012 Dec;100(12):3353-62. doi: 10.1002/jbm.a.34292. Epub 2012 Jun 26.
Numerous models that predict drug release from nonerodible reservoir-membrane sphere systems have been presented. Most of these models cater only to a phase of drug release from a constant reservoir. All these models, however, are not applicable to drug release from biodegradable triple-layered microparticle system, in which the drug-loaded core (reservoir) is surrounded by nondrug holding outer layers (membrane). In this article, a mathematical model was developed for ibuprofen release from degradable triple-layered microparticles made of poly(D,L-lactide-co-glycolide, 50:50) (PLGA), poly(L-lactide) (PLLA), and poly(ethylene-co-vinyl acetate, 40 wt % vinyl acetate) (EVA), where ibuprofen was localized within the nonconstant reservoir (EVA core). The model postulated that the drug release through the bulk-degrading PLLA and PLGA layers consisted of two mechanisms: simple diffusional release followed by a degradation-controlled release through a rate-limiting membrane. The proposed model showed very good match with the experimental data of release from microparticles of various layer thicknesses and particle sizes. The underlying drug release mechanisms are dictated by three parameters determined by the model, including constant characteristic of diffusion, end time point of simple diffusion-controlled release and partition coefficient of drug. The presented model is effective for understanding the drug release mechanisms and for the design of this type of dosage form.
已经提出了许多预测非侵蚀性储库-膜球系统中药物释放的模型。这些模型大多数仅适用于从恒定储库中释放药物的阶段。然而,所有这些模型都不适用于从可生物降解的三层微球系统中释放药物,在该系统中,载药核心(储库)被无药物的外层(膜)包围。在本文中,开发了一种用于布洛芬从由聚(D,L-丙交酯-共-乙交酯,50:50)(PLGA)、聚(L-丙交酯)(PLLA)和聚(乙烯-共-醋酸乙烯酯,40wt%醋酸乙烯酯)(EVA)制成的可生物降解的三层微球中释放的数学模型,其中布洛芬位于非恒定储库(EVA 核)内。该模型假设,药物通过大块降解的 PLLA 和 PLGA 层的释放包括两种机制:简单扩散释放,然后通过限速膜进行降解控制的释放。所提出的模型与具有各种层厚度和粒径的微球的释放的实验数据非常吻合。药物释放的潜在机制由模型确定的三个参数决定,包括扩散常数、简单扩散控制释放的终点和药物的分配系数。所提出的模型对于理解药物释放机制和设计这种类型的剂型非常有效。