基于酶活性的丹参茎叶活血活性谱-效模型

目的:以12批丹参茎叶为研究对象,为究其HPLC指纹图谱中色谱峰和活血活性的相关性,建立其基于酶活性的活血活性谱-效模型并进行验证。方法:采用高效液相色谱法和纤维蛋白原平板法,测定6批丹参茎叶的指纹图谱和体外活血活性值,用对照品对指纹图谱特征峰进行指认,并对指纹图谱特征峰成分与其活血活性进行相关分析;运用SPSS软件,采用主成分分析-相关性分析-多重线性回归的分析方法建立其谱-效模型,采用6批丹参茎叶对该模型进行验证。结果:丹参茎叶指纹图谱中得到7个特征峰,由Kendalls tau-b相关性分析可证明丹参茎叶活血活性与7个色谱峰峰面积有相关性,陡坡图分析得该模型的最优主成分数为5,经指认分别为原儿茶醛,咖啡酸,共有峰5(未指认),迷迭香酸和丹酚酸B。其中原儿茶醛、共有峰5和丹酚酸B对活血作用显正相关,咖啡酸(CA)和迷迭香酸(PCA)对活血作用显负相关,预测值和实测值的平均相对误差较小。结论:该实验建立的基于酶活性的活血活性谱-效模型可较好地预测丹参茎叶的活血活性。

Spectrum-effect Model of Salvia miltiorrhiza Stem and Leaves Based on Enzymatic Activity

Objective: Totally 12 batches of Salvia miltiorrhiza stem and leaves were taken as the research object,in order to investigate the correlation between the chromatographic peaks and the blood circulation activity in the HPLC fingerprint,and establish and verify the activity spectrum-effect model based on enzyme activity. Method: HPLC method and fibrinogen plate method were used to determine the fingerprint and in vitro activity values of stems and leaves of S. miltiorrhiza in 6 batches. SPSS was used to establish its spectrum-effect model by the principal component analysis-correlation analysis-multiple linear regression analysis method,and six batches of S. miltiorrhiza stems and leaves were used to verify the model. Result: Totally 7 characteristic peaks were obtained in the fingerprints of S. miltiorrhiza leaves. Kendalls tau-b correlation analysis showed the correlations between the blood circulating activity of S. miltiorrhiza stems and leaves and the 7 characteristic peak areas. The steep slope map analysis showed five optimal principal components of the model, namely protocatechualdehyde,caffeic acid,common peak 5 (to be identified), rosmarinic acid and salvianolic acid B. Among them,protocatechualdehyde,common peak 5 and salvianolic acid B showed a positive correlation with the activity of blood circulation,while caffeic acid and rosmarinic acid showed a negative correlation with the activity of blood circulation,with low mean relative errors between the predicted value and the measured value. Conclusion: The blood circulation activity spectrum-effect model based on enzyme activity can predict the blood circulation activity of stems and leaves of S. miltiorrhiza.