数学模型与从高素矩阵片中获得的卡维迪醇释放特征的比较拟合
Tadej Ojsteršek1,2, Franc Vrečer1,2, Grega Hudovornik1
1KRKA, d. d., 8501 Novo Mesto, Slovenia.
Pharmaceutics
|April 27, 2024
概括
在DDSolver中的数学模型分析了HPMC矩阵片中的卡维迪醇释放. 该研究确定了基于配方变量和溶解数据预测药物释放概况的最佳模型.
科学领域:
- 制药科学 制药科学
- 药物输送系统 药物输送系统
- 材料科学 材料科学 材料科学
背景情况:
- 基于高糖 (HPMC) 的矩阵片被广泛用于控制药物释放.
- 卡维迪醇是一种β-阻断剂,通常以延长释放剂型配制.
- 了解药物释放机制对于优化制药配方至关重要.
研究的目的:
- 将DDSolver的数学模型应用于实验性卡维迪醇释放数据.
- 为了评估由不同配方辅助剂产生的不同卡维迪醇释放特征.
- 确定最适合的模型来描述HPMC矩阵中的卡维迪醇溶解.
主要方法:
- 卡维迪醇HPMC矩阵片的试验性溶解测试.
- 使用DDSolver软件应用和安装各种数学模型.
- 统计分析,包括配对的t测试,以确定数据的相关性.
- 基于平方余和 (RSS) 和视觉评估的模型选择.
- 对爆破释放和延迟时间的模型参数的分析.
主要成果:
- 成功地将DDSolver数学模型应用于卡维迪醇释放数据.
- 确定影响卡维迪醇释放特征的配方变量.
- 选择最适合的模型,用于全部和部分溶解数据 (高达60%).
- 对爆发和延迟时间现象的模型参数可接受性的评估.
结论:
- 数学建模提供了一种可靠的方法来描述HPMC矩阵中的卡维迪醇释放.
- 配方修改显著影响药物释放动力学.
- 这项研究提供了对卡维迪醇释放机制的见解,并有助于优化矩阵片设计.
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