不同颗粒大小的α-乳糖单水化合物粉末的可平板和可压缩性. II:预测的关系
Ann-Sofie Persson1, Göran Alderborn1
1Department of Pharmaceutical Biosciences and the Swedish Drug Delivery Centre, Uppsala University, Uppsala, Sweden.
Pharmaceutical development and technology
|June 13, 2023
概括
一种新的材料节约方法准确地预测了使用最小粉末的可平板和可紧性. 这种方法提供了一种更快,更有效的方法来表征药物固体的平板电脑性能.
科学领域:
- 制药科学 制药科学
- 材料科学 材料科学 材料科学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 药物固体剂型中,可片性和可紧缩性至关重要.
- 评估这些属性的传统方法可能是材料密集型和耗时的.
- 预测模型可以优化配方开发,减少材料浪费.
研究的目的:
- 评估一种节约材料的方法,以预测可表化性和可紧缩性.
- 评估与实验数据对预测关系的准确性.
- 探索该方法在特征颗粒固体中的潜力.
主要方法:
- 使用了七种α-乳糖单水化合物粉末,颗粒大小各不相同.
- 通过实验确定可压缩性;通过实验和预测获得可表化性和可压缩性.
- 采用两个压缩参数 (Kawakita和Heckel塑料刚度) 和来自单个压缩实验的抗拉强度进行预测.
主要成果:
- 对粘弹性恢复的成功校正产生了准确的压缩性概况.
- 实验和预测的可平板化和可紧缩性概况显示出很高的相似性.
- 在预测和实验压缩和片剂参数之间观察到良好的相关性.
结论:
- 混合预测方法节约了材料,并提供了很好的表化和紧缩性近似值.
- 这种预测方法可以集成到用于表征平板电脑性能的协议中.
- 该方法有可能有效地表征药物固体.
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