目的 探究水-醇双提物的中药物料粉体性质对颗粒吸湿性的影响，筛选潜在关键影响因素。方法 以5个品种共计175批中间体粉末的18个粉体参数为自变量，颗粒吸湿性为因变量，进行原始数值描述、变量相关性分析、主成分分析（principal component analysis，PCA）和偏最小二乘法（partial least squares，PLS）预测模型分析，研究水-醇双提物的中药物料粉体性质对颗粒吸湿性的影响。结果 原始数值描述发现中间体粉末及颗粒均存在强吸湿性，但相对于粉末，颗粒吸湿性较低，表明制粒工艺一定程度上可改善粉末吸湿性；相关性分析结果显示中间体粉末的粒度分布宽度、均匀性、吸湿性、含水量与颗粒吸湿性呈强相关；PCA确定2个关键主成分，其方差贡献率分别为57.13和19.82；PLS预测模型在2个关键主成分前提下，以变量投影重要性（variable importance in the projection，VIP）、回归系数、方差膨胀因子（variance inflation factor，VIF）及平均相对预测误差为判定指标，确定粉末含水量、吸湿性、振实密度和D₅₀是影响颗粒吸湿性的潜在关键物性指标。结论 采用相关性分析、PCA和PLS预测模型探究中药粉体物料性质对颗粒吸湿性的影响，为中药粉体物料性质影响颗粒吸湿性的共性技术研究提供数据依据和理论参考。

Objective To investigated the effects of the powder properties of water-alcohol double extracts of Chinese medicine on the moisture absorption of particles, and screen the potential key influencing factors. Methods Taking 18 powder parameters of 175 batches of intermediate powders in five varieties as independent variables and the moisture absorption of particles as the dependent variables, the original numerical description, variable correlation analysis, principal component analysis (PCA) and partial least squares (PLS) prediction model analysis were carried out to study the influence of the powder properties of water-alcohol double extracts on the moisture absorption of particles. Results The original numerical description showed that both the powder and particles of the intermediate had strong hygroscopicity, but the hygroscopicity of the particles was lower than that of the powder, indicating that the granulation process could improve the hygroscopicity of the powder to a certain extent. The results of correlation analysis showed that the particle size distribution width, uniformity, hygroscopicity and water content of the intermediate powder were strongly correlated with the hygroscopicity. PCA identified two key principal components, whose variance contribution rates were 57.13 and 19.82, respectively. PLS prediction model under the premise of two key principal components, the moisture content, hygroscopicity, vibration density and D₅₀ of powder were determined as the potential key physical property indexes affecting the hygroscopicity of particles by using VIP, regression coefficient, VIF and average relative prediction error as the judging indexes. Conclusion Correlation analysis, principal component analysis and partial least squares prediction model were used to explore the influence of material properties of TCM powder on particle hygroscopicity, providing data basis and theoretical reference for the general technology research on the influence of material properties of TCM powder on particle hygroscopicity.

R283.6

连云港市重大技术攻关“揭榜挂帅”项目：中药口服固体制剂智能化连续制造关键技术研究（CGJBGS2101）