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因子设计-PCA法优化黄芪多糖干法制粒压片研究 被引量:5

Optimization of Dry Granulation Compression Technology for Astragalus Polysaccharide by Factorial Design-PCA
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摘要 目的:对黄芪多糖干法制粒压片后的物理指标进行表征,优化辅料选择。方法:以微晶纤维素用量、乳糖用量、微粉硅胶用量为考察因素,以颗粒得率、片剂硬度、片剂脆碎度、崩解时间为考察指标,以因子设计法安排试验,以主成分分析法(Principal Component Analysis,PCA)综合评价试验指标。结果:优选辅料为15%微晶纤维素、10%乳糖、10%微粉硅胶。结论:因子设计-PCA法能优化干法制粒压片过程中辅料的选择。 Objective: To characterize the physical indicators of astragalus polysaccharide after dry granulation compression and optimize the adjuvants selection. Methods: The amounts of microcrystalline cellulose, lactose and silica powder were used as the in- vestigation factors, and the granules yield, tablet hardness, tablet friability and disintegration time were used as the relevant responses. A factorial design method was used to arrange the experiments, and the principal component analysis (PCA) was applied to evaluate the testing responses. Results: The optimum adjuvants were as follows: the weight percentage of microcrystalline cellulose, lactose and silica powder was 15%, 10% and 10%, respectively. Conclusion: Factorial - PCA design method can be used to optimize the choice of adjuvants in dry granulation compression process.
出处 《中国药师》 CAS 2015年第9期1496-1498,共3页 China Pharmacist
关键词 因子设计 主成分分析 黄芪多糖 辅料 片剂 Factorial design Principal component analysis Astragalus.polysaccharide Adjuvants Tablets
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