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亲水性药物从聚(ε-己内酯)基质中的异常释放。

Anomalous release of hydrophilic drugs from poly(epsilon-caprolactone) matrices.

作者信息

Rosenberg R, Devenney W, Siegel S, Dan N

机构信息

Department of Chemical and Biological Engineering, Drexel University, Philadelphia, Pennsylvania 19104, USA.

出版信息

Mol Pharm. 2007 Nov-Dec;4(6):943-8. doi: 10.1021/mp700097x. Epub 2007 Oct 26.

Abstract

In this paper, we investigate the release of two drugs, nicotine and caffeine, from poly epsilon-caprolactone (PCL) matrices, as a model for the delivery of highly hydrophilic drugs. Since PCL does not degrade over the period of our experiments (<30 days), drug diffusion through the matrix is expected to be the dominant mechanism of release. Contrary to expectations, we find that the drug diffusion coefficient increases with increasing drug loading, weakly for caffeine and strongly for nicotine. The water content in the PCL matrices (after all of the drug was released) was found to be orders of magnitude higher than the expected value, increasing with increasing drug loading. We suggest that these phenomena arise from the semicrystalline nature of PCL under our experimental conditions, which inhibits matrix collapse when the drug is released, thereby creating voids into which water can diffuse. We apply a quantitative model for these systems that considers counter-diffusion of water into the matrix with drug diffusion out of the matrix. The high solubility of both drugs in aqueous solutions leads to drug partitioning into the polymer-encapsulated water, thereby increasing the effective rate of drug diffusion and release. The model is shown to fit the experimental data of both drugs using only one fit parameter.

摘要

在本文中,我们研究了尼古丁和咖啡因这两种药物从聚ε-己内酯(PCL)基质中的释放情况,以此作为高亲水性药物递送的模型。由于在我们的实验期间(<30天)PCL不会降解,预计药物通过基质的扩散是释放的主要机制。与预期相反,我们发现药物扩散系数随药物负载量的增加而增加,咖啡因的增加较弱,尼古丁的增加较强。在所有药物释放后,PCL基质中的含水量被发现比预期值高几个数量级,且随药物负载量的增加而增加。我们认为这些现象源于我们实验条件下PCL的半结晶性质,当药物释放时,它会抑制基质塌陷,从而形成水可以扩散进去的空隙。我们为这些系统应用了一个定量模型,该模型考虑了水向基质中的反向扩散以及药物从基质中的扩散。两种药物在水溶液中的高溶解度导致药物分配到聚合物包裹的水中,从而提高了药物扩散和释放的有效速率。结果表明,该模型仅使用一个拟合参数就能拟合两种药物的实验数据。

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