摘要
目的:应用数学模拟研究中药制剂原料吸湿动力学模型,从动力学角度分析中药制剂原料吸湿特性。方法:测定中药制剂原料的吸湿性,分别采用Fick第一扩散定律、一级渐进模型、Peleg模型、Fick第二扩散定律进行拟合。结果:中药制剂原料吸湿过程符合Fick扩散定律,可采用Peleg模型拟合中药制剂原料的吸湿动力学,模型与平衡吸湿量和初始吸湿量呈负相关。蓝芩方提取物、双黄连方提取物、山菊降压方提取物、乐脉方提取物、玄麦甘桔方提取物、野菊花提取物、川参方提取物、康心宁方提取物、安神养心方提取物的预测值与实际值间相似度分别为0.999 6,0.995 9,0.999 2,0.927 1,0.995 7,0.998 8,0.999 1,0.919 8,0.979 6,扩散系数依次为1.16×10-7,1.74×10-3,3.06×10-3,2.62×10-3,2.16×10-3,2.48×10-3,2.23×10-3,2.85×10-3,2.64×10-3。结论:通过数学模拟探析吸湿动力学过程可较好地解释中药制剂原料的吸湿机制。
Objective:To study moisture dynamics modelof raw materials of Chinese materia medica through mathematical simulation,and analyze hygroscopic properties of raw materials of Chinese materia medica from view of dynamics.Method:Water absorption of raw materials of Chinese materia medica was determined,Fick'sfirst (second) diffusion law,First-order asymptotic model and Peleg model wereadopted to simulate water absorption kinetics of Chinese medicine raw materials.Result:Moisture absorbing of Chinese medicine raw materials fitted Fick diffusion law,several models were used to imitate moisture absorbing and Peleg model was better than others model,model was relative with equilibrium moisture content and initial rate of water absorption.Similarities between predicted and actual values of Lanqin,Shuanghuanglian prescription,Shanjun Jiangya prescription,Lemai prescription,Xuanmai Ganju prescription,wild chrysanthemum,Chuanshen prescription,Kangxinning prescription,Anshen Yangxin prescription extract were 0.999 6,0.995 9,0.999 2,0.927 1,0.995 7,0.998 8,0.999 1,0.919 8,0.979 6,diffusion coefficients were 1.16 × 10-7,1.74 × 10-3,3.06× 10-3,2.62 × 10-3,2.16 × 10-3,2.48 × 10-3,2.23 × 10-3,2.85 × 10-3,2.64 × 10-3,respectively.Conclusion:Hygroscopic mechanism of Chinese medicine raw materialscould be explained by investigating absorption kinetics with mathematical simulation.
出处
《中国实验方剂学杂志》
CAS
北大核心
2014年第6期15-19,共5页
Chinese Journal of Experimental Traditional Medical Formulae
基金
上海市教委重点学科项目(J50302)
国家科技重大专项(2009ZX09502-009)
上海市教育委员会科研创新项目课题(12ZZ124)
上海中医药大学杏林学者和优秀团队培养计划项目(R100206)