基于粉体物理性质加和性的中药丸剂物料分类优化研究  

Study on classification optimization of TCM materials based on additive physical properties of powder

作　　者：李云琪 田文秀 杨光 李文杰 赵立杰[2] 洪燕龙 LI Yun-qi;TIAN Wen-xiu;YANG Guang;LI Wen-jie;ZHAO Li-jie;HONG Yan-long(Shanghai Innovation Center of TCM Health Service,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China;Innovative Research Institute of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China)

机构地区：[1]上海中医药大学上海中医健康服务协同创新中心,上海201203 [2]上海中医药大学创新中药研究院,上海201203

出　　处：《中国中药杂志》2023年第7期1866-1875,共10页China Journal of Chinese Materia Medica

基　　金：国家自然科学基金项目(81973490);上海市“科技创新行动计划”技术标准项目(20DZ2200900);上海市自然科学基金项目(18ZR1436600);上海中医药慢性病防治与健康服务省部共建协同创新中心项目(2021科技02-37);上海市科技计划项目(21DZ2271000)。

摘　　要：基于中药粉体物理性质加和性的油性料粉体学物理性质推测方法,选择粉筛率高、流动性好的山药和煅牡蛎,分别与脂肪油含量较高的桃仁、柏子仁、莱菔子、酸枣仁等典型油性料按比例混合粉碎,得到23份混合粉体并测定堆密度、吸水性、最大转矩力等15个物理性质,推测典型油性料粉体的物理性质。在混合粉碎比例为5∶1~1∶1时,混合粉体的加权平均得分与粉体占比的相关性方程的r在0.801~0.986,线性良好,表明基于中药粉体物理性质加和性推测油性料粉体学物理性质的方法具有可行性。聚类分析结果表明:5类中药物料的分类界限清晰,并且粉性料与油性料的物理指纹图谱相似度从80.6%降低到37.2%,解决因油性料模型药物代表性不足导致粉性料与油性料分类界限模糊的问题,优化了中药物料的分类,为优化临方水丸制剂处方预测模型奠定基础。According to the method of predicting the physical properties of oily powder based on the additive physical properties of powdered traditional Chinese medicine,Dioscoreae Rhizoma and Calcined Oyster with high sieve rate and good fluidity were mixed and crushed with Persicae Semen,Platycladi Semen,Raphani Semen,Ziziphi Spinosae Semen,and other typical oily materials with high fatty oil content respectively in proportion to get 23 mixed powders.15 physical properties such as the bulk density,water absorption,maximum torque force were measured,and the physical properties of typical oily powders were speculated.When the mixing and grinding ratio is 5:1~1:1,the r value in the correlation equation between the weighted average score of mixed powder and the powder proportion ranged from 0.801 to 0.986,and the linearity is good,indicating that the method of inferring the physical properties of oily powder based on the physical properties of TCM powder addition is feasible.The results of cluster analysis showed that the classification boundaries of the five kinds of TCM materials were clear,and the similarity of the physical fingerprints of powdery and oily materials decreased from 80.6%to 37.2%,which solved the problem of fuzzy classification boundaries of powdery and oily materials due to the lack of representativeness of oily material model drugs.The classification of TCM materials was optimized,laying a foundation for optimizing the prediction model of prescription of personalized water-paste pills.

关 键 词：粉体物理性质 加和性 中药物料分类 物理指纹图谱 临方制剂 

分 类 号：R283.6[医药卫生—中药学]