[关键词]
[摘要]
目的 获取丹参提取过程知识,提高丹参提取工艺质量控制水平。方法 基于数据驱动和机制模型考察丹参提取过程中丹酚酸的转移、转化规律。首先基于机制模型,获得不同工艺条件下丹酚酸的提取动力学参数,再通过响应曲面法建立工艺参数与提取动力学参数间关系。结果 建立了丹酚酸B(salvianolic acid B,SAB)、丹酚酸E(salvianolic acid E,SAE)、紫草酸(lithospermic acid,LA)、丹酚酸A(salvianolic acid A,SAA)和丹参素(salvianic acid,DSS)5个成分的提取动力学模型。模型验证结果丹酚酸B、丹酚酸E、紫草酸、丹酚酸A和丹参素峰面积的预测平均绝对偏差分别为151.85、27.76、19.46、214.61、105.68,表明模型预测性能较好。结论 揭示了丹参提取过程原料属性、工艺参数、产品质量属性间关系,为丹参提取过程质量控制提供了理论知识。
[Key word]
[Abstract]
Objective In order to obtain the process knowledge of Danshen (Salviae Miltiorrhizae Radix et Rhizoma, SMRR) extraction and improve the level of quality control in extraction process. Methods The transfer and transformation rules of salvianolic acid in the extraction process of SMRR were studied based on data-driven and mechanism modeling methods. First, the extraction kinetic parameters of salvianolic acid under different process conditions were obtained by mechanism model, and then the relationship between the extraction kinetic parameters and process parameters was established by response surface methodology. Results The extraction kinetics models of salvianolic acid B, salvianolic acid E, lithospermic acid, salvianolic acid A, and salvianic acid were established. The results of model validation showed that the average absolute deviations of salvianolic acid B, salvianolic acid E, lithospermic acid, salvianolic acid A, and salvianic acid were 151.85, 27.76, 19.46, 214.61, 105.68, respectively, indicating that the models performed well. Conclusion This study revealed the relationship among raw material attributes, process parameters and product quality attributes in the extraction process of SMRR, and provided theoretical knowledge for the quality control of its extraction process.
[中图分类号]
R283.6
[基金项目]
国家“重大新药创制”科技重大专项(2018ZX09201011-002)