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基于川北方程的多组分药物粉末直接压片特性的理论建模与实验研究

[Theoretical modeling and experimental research on direct compaction characteristics of multi-component pharmaceutical powders based on the Kawakita equation].

作者信息

Si Guo-Ning, Chen Lan, Li Bao-Guo

出版信息

Yao Xue Xue Bao. 2014 Apr;49(4):550-7.

Abstract

Base on the Kawakita powder compression equation, a general theoretical model for predicting the compression characteristics of multi-components pharmaceutical powders with different mass ratios was developed. The uniaxial flat-face compression tests of powder lactose, starch and microcrystalline cellulose were carried out, separately. Therefore, the Kawakita equation parameters of the powder materials were obtained. The uniaxial flat-face compression tests of the powder mixtures of lactose, starch, microcrystalline cellulose and sodium stearyl fumarate with five mass ratios were conducted, through which, the correlation between mixture density and loading pressure and the Kawakita equation curves were obtained. Finally, the theoretical prediction values were compared with experimental results. The analysis showed that the errors in predicting mixture densities were less than 5.0% and the errors of Kawakita vertical coordinate were within 4.6%, which indicated that the theoretical model could be used to predict the direct compaction characteristics of multi-component pharmaceutical powders.

摘要

基于河合粉体压缩方程,建立了一个预测不同质量比多组分药用粉体压缩特性的通用理论模型。分别对乳糖、淀粉和微晶纤维素粉体进行了单轴平面压缩试验,从而得到了这些粉体材料的河合方程参数。对乳糖、淀粉、微晶纤维素和富马酸硬脂酸钠五种质量比的混合粉体进行了单轴平面压缩试验,由此得到了混合密度与加载压力之间的相关性以及河合方程曲线。最后,将理论预测值与实验结果进行了比较。分析表明,混合密度预测误差小于5.0%,河合纵坐标误差在4.6%以内,这表明该理论模型可用于预测多组分药用粉体的直接压片特性。

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Prediction of the compressibility of complex mixtures of pharmaceutical powders.预测药物粉末复杂混合物的可压缩性。
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