通过实证和混合模拟药物-聚合物可溶性和可混性来推进无形固体分散:使用Ibuprofen的案例研究
Matheus de Castro1, Ana Sara Cordeiro1, Mingzhong Li1
1Leicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, United Kingdom.
International journal of pharmaceutics: X
|August 21, 2025
概括
这项研究使用建模和DSC评估了四种聚合物的易布洛芬溶解性. 在较高的药物负载下,KOL17PF显示出最好的兼容性,而HPMCAS对无形固体分散 (ASD) 的稳定性有限.
科学领域:
- 材料科学
- 制药科学
- 计算化学
背景情况:
- 预测药物-聚合物混合性对于无形固体分散 (ASD) 配方至关重要.
- 传统的溶解度参数为药物聚合物系统提供可变的预测.
- 需要先进的建模技术来准确评估混合性和稳定性.
研究的目的:
- 对伊布洛芬 (IBU) 与四种药物聚合物的溶解性和混合性进行研究:KOLVA64®,KOL17PF®,HPMCAS和Eudragit® EPO.
- 对实验数据进行实验和混合建模方法的性能比较.
- 根据预测的稳定性,确定最适合布洛芬ASD配方的聚合物.
主要方法:
- 使用差分扫描热量计 (DSC) 进行实验验证.
- 采用传统的组贡献方法 (费多斯,霍菲特泽-范克列伦,贾斯特-布莱特克鲁茨) 和巴格利图表进行溶解性参数分析.
- 使用Flory-Huggins (FH) 理论,Kyeremateng的实证方法和扰乱链统计关联流体理论 (PC-SAFT) 构建相位图,结合DSC衍生的点压缩数据.
- 使用戈登-泰勒方程和Kwei方程建模玻璃过渡温度 (Tg).
主要成果:
- 使用可溶性参数预测所有测试的聚合物是可混合的,但预测准确度不同.
- KOL17PF显示出最高的聚合物-API兼容性,而HPMCAS显示出最低的兼容性.
- PC-SAFT和FH模型预测HPMCAS基于ASD的药物负载在5%以上时的稳定性有限,这表明液体-液体平衡 (LLE) 脱混合的可能性.
- 在使用KOLVA64®,KOL17PF®和Eudragit® EPO时,较高的药物负载 (> 10% w/ w) 发现更稳定.
结论:
- 这项研究强调了各种可溶性和可混性预测模型的优点和局限性.
- KOL17PF和Eudragit® EPO被确定为具有较高药物负载的ibuprofen ASD的有希望的候选药物.
- 为准确预测自闭症患者的药物聚合物相互作用,建议采用协调的建模框架.
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