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从PC-SAFT中纯预测活动系数可以帮助药物-聚合物兼容性查吗?
Jáchym Pavliš1, Alex Mathers1, Michal Fulem1
1Department of Physical Chemistry, Faculty of Chemical Engineering, University of Chemistry and Technology, Prague, Technická 5, 166 28 Prague 6, Czech Republic.
使用PC-SAFT探索预测无形固体分散 (ASD) 的药物聚合物兼容性. 虽然定量预测显示出重大错误,但该模型为药物配方的聚合物载体提供了有用的定性排名.
科学领域:
- 制药科学 制药科学
- 热力学是一种热力学.
- 计算化学的计算化学
背景情况:
- 无形固体分散 (ASDs) 提高了水溶性较差的药物的生物可用性.
- 药物聚合物兼容性的实验性确定是劳动和成本密集的.
- 像PC-SAFT这样的热力学模型为预测兼容性提供了一个计算替代方案.
研究的目的:
- 评估PC-SAFT状态方程在自闭症患者中药物聚合物兼容性的预测性能.
- 评估PC-SAFT在没有拟合的二进制交互参数 (k=0) 的情况下预测兼容性的能力.
- 调查API参数化对预测准确性的影响.
主要方法:
- 使用PC-SAFT状态方程来预测API-聚合物活性系数.
- 采用了API的实验融合特性和k=0方法.
- 对近40个API-聚合物系统的实验数据进行了评估预测.
主要成果:
- 在重量分数溶解度中达到约50%的平均定量误差.
- 在不同的API-聚合物系统中观察到预测准确度的显著变化.
- 最糟糕的预测是由于未建模的键,对于像聚乙烯醇这样的自我结合的聚合物.
结论:
- 具有k=0的PC-SAFT为ASD发展中的药物-聚合物兼容性初步查提供了一个有用的,尽管在数量上不精确的工具.
- 聚合物兼容性的质量排名可以合理预测,识别出一般更好或更差的聚合物候选物.
- 未来的工作应该集中在完善PC-SAFT参数化,以提高定量准确性和成本效益比率.
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