微晶纤维素流动性的表征及其性能参数相关性的可视化

Characterizing flowability of microcrystalline cellulose and its visualizing the correlation of the performance parameters

本文通过多元分析方法评价不同型号微晶纤维素的流动性差异,并利用R语言可视化功能初步探索了微晶纤维素性能参数之间的内在联系。为验证多元分析方法的可操作性,与常规方法如休止角法、Hausner比值、Carr’s指数、川北方程参数a等方法进行对比分析。通过川北方程参数1/b和压力-抗张强度曲线法分别测定微晶纤维素的填充性和可压性,利用R语言可视化分析表征流动性、填充性和可压性的参数的相关性。微晶纤维素WJ(MCCWJ)系列总体流动性稍差于微晶纤维素PH(MCCPH)系列,MCCPH-302的可压性最佳,流动性与填充性最优者为MCCPH-102,常规方法测定的结果与多元分析方法结果基本一致。通过可视化相关系数图分析得出微晶纤维素的流动性与填充性呈正相关,与可压性呈负相关,且具有统计学意义(P<0.01)。结果表明,使用多元分析方法对粉体的流动性是科学可行的,相对于传统表征流动性的方法有较客观的标准。通过R语言可视化功能对粉体的性能参数相关性可视化,为制剂辅料的筛选提供了方便。

In this study, multivariate statistical analysis was applied to characterize the flowability of different types of microcrystalline cellulose（MCC）, and the visualization of R language was used to explore the intrinsic correlation on its performances. To verify the operability of multivariate statistical analysis, we compared the results of the conventional methods such as repose angle method, Hausner ratio method, Carr’s index method and the parameter a of Kawakita equation to determine whether there are significant differences between the conventional ones and multivariate statistical analysis. Moreover, the fillibility and compressibility were characterized by parameters 1/b of Kawakita equation and the means of pressure-tensile strength and compressibility curve method, respectively. The data was analyzed through R language for visualizing the correlation among the performance parameters of MCC. The flowability of the series of microcrystalline cellulose PH（MCCPH） were superior to the series of microcrystalline cellulose WJ（MCCWJ）, the compressibility of MCCPH-302 was optimum, and the flowability and fallibility of MCCPH-102 were better than others. The results of conventional methods were consistent with multivariate statistical analysis. The fillibility was positively correlated with flowability, both negatively correlated with compressibility by analyzing correlation coefficient diagram, which was statistically significant（P 〈 0.01）. It is reasonable that adopting multivariate statistical analysis to character the flowability of powders, which is more objective than the traditional approach. The correlation visualization of performance parameters of powders provides convenience for screening preparation material via the visualization of R language.