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Novel Mathematical Model for Predicting the Dissolution Profile of Spherical Particles under Non-sink Conditions

机译:预测非沉落条件下球形颗粒溶解曲线的新型数学模型

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摘要

A mechanistic mathematical model was designed to predict dissolution patterns under non-sink conditions. Sulfamethoxazole was used as a model drug, and its physico-chemical properties such as solubility, density, and intrinsic dissolution rate constant etc., were investigated in order to apply these experimental values to the proposed model. Dissolution tests were employed as a way of validating the mathematical model, and it was found that the predictions given by the model were surprisingly accurate for ll particle sizes. In addition, a simulation focused on forecasting the fraction of the drug that was dissolved at a certain time point when various initial particle diameters were used was also particularly valuable. Therefore, these results demonstrated that the model enables dissolution profiles to be analyzed under non-sink conditions.
机译:设计了一种机械数学模型来预测非下沉条件下的溶出模式。以磺胺甲恶唑为模型药物,研究了其物理化学性质,如溶解度,密度和固有溶出速率常数等,以将这些实验值应用于所提出的模型。溶出度测试被用作验证数学模型的一种方法,并且发现该模型给出的预测对于11个粒径出奇地准确。另外,侧重于预测使用各种初始粒径时在特定时间点溶解的药物比例的模拟也特别有价值。因此,这些结果表明,该模型能够在非下沉条件下分析溶出曲线。

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