Romero Analia Irma, Villegas Mercedes, Cid Alicia Graciela, Parentis Mónica Liliana, Gonzo Elio Emilio, Bermúdez José María
Instituto de Investigaciones para la Industria Química, Universidad Nacional de Salta - Consejo Nacional de Investigaciones Científicas y Técnicas, Av. Bolivia 5150, Salta Capital 4400, Argentina.
Facultad de Ingeniería, Universidad Nacional de Salta, Av. Bolivia 5150, Salta Capital 4400, Argentina.
Asian J Pharm Sci. 2018 Jan;13(1):54-62. doi: 10.1016/j.ajps.2017.08.007. Epub 2017 Aug 18.
Mathematical modeling in drug release systems is fundamental in development and optimization of these systems, since it allows to predict drug release rates and to elucidate the physical transport mechanisms involved. In this paper we validate a novel mathematical model that describes progesterone (Prg) controlled release from poly-3-hydroxybutyric acid (PHB) membranes. A statistical analysis was conducted to compare the fitting of our model with six different models and the Akaike information criterion (AIC) was used to find the equation with best-fit. A simple relation between mass and drug released rate was found, which allows predicting the effect of Prg loads on the release behavior. Our proposed model was the one with minimum AIC value, and therefore it was the one that statistically fitted better the experimental data obtained for all the Prg loads tested. Furthermore, the initial release rate was calculated and therefore, the interface mass transfer coefficient estimated and the equilibrium distribution constant of Prg between the PHB and the release medium was also determined. The results lead us to conclude that our proposed model is the one which best fits the experimental data and can be successfully used to describe Prg drug release in PHB membranes.
药物释放系统中的数学建模对于这些系统的开发和优化至关重要,因为它能够预测药物释放速率并阐明其中涉及的物理传输机制。在本文中,我们验证了一种描述孕酮(Prg)从聚-3-羟基丁酸(PHB)膜中控制释放的新型数学模型。进行了统计分析以比较我们的模型与六种不同模型的拟合情况,并使用赤池信息准则(AIC)来找到拟合最佳的方程。发现了质量与药物释放速率之间的简单关系,这使得能够预测Prg负载对释放行为的影响。我们提出的模型是具有最小AIC值的模型,因此从统计学角度来看,它与所有测试的Prg负载所获得的实验数据拟合得更好。此外,计算了初始释放速率,从而估计了界面传质系数,并确定了Prg在PHB与释放介质之间的平衡分配常数。结果使我们得出结论,我们提出的模型是最适合实验数据的模型,并且可以成功用于描述PHB膜中Prg的药物释放。