Department of Mathematics and Statistics, Masaryk University, Kotlarska 2, Brno, Czech Republic.
Int J Pharm. 2011 Sep 15;416(1):35-42. doi: 10.1016/j.ijpharm.2011.05.081. Epub 2011 Jun 15.
Purpose of this paper is to describe characteristic features of dissolution data by using homogeneous model of dissolution with initial transient phase. To achieve the goal we consider a random lag time before the homogeneous phase of the dissolution begins. The resulting dissolution profiles are characterized by sigmoidal shape commonly observed in empirical dissolution data. Furthermore, probability distribution of repeated measurements at fixed time is deduced from the model and function describing variability of the data in dependency on time is proposed. Three examples with normal, exponential and gamma probability distribution of the lag time are presented. All the models are pairwise compared with the Weibull function with high similarity between them. The result offers an alternative interpretation for the frequently found fit of the Weibull model to experimental data.
本文旨在通过使用具有初始瞬变相的溶解均相模型来描述溶解数据的特征。为了实现这一目标,我们考虑在溶解的均相阶段开始之前存在随机滞后时间。所得的溶解曲线呈通常在经验溶解数据中观察到的“S”形特征。此外,从模型中推导出在固定时间处重复测量的概率分布,并提出了描述数据随时间变化的可变性的函数。呈现了滞后时间服从正态、指数和伽马概率分布的三个示例。所有模型均与威布尔函数进行两两比较,彼此之间具有高度相似性。该结果为威布尔模型与实验数据的常见拟合提供了一种替代解释。