Spectrum-effect Model of <italic style="font-style: italic">Salvia miltiorrhiza</italic> Stem and Leaves Based on Enzymatic Activity

Li-hua WU; Jia ZHANG; Yan-jun DENG; Hui YANG; Qing-dong XU; Xiao-xue ZHANG; Tao LIU

doi:10.13422/j.cnki.syfjx.20191513

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

Resource and Quality Evaluation | 更新时间：2021-02-09

- Spectrum-effect Model of Salvia miltiorrhiza Stem and Leaves Based on Enzymatic Activity
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 25, Issue 23, Pages: 133-138(2019)
- 作者机构：
  
  1.成都大学　药学与生物工程学院，成都　 610106；
  2.成都大学　期刊中心，成都　 610106
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20191513
  CLC： R284.2; R289; R22; R2-031
- Received：18 October 2018，
  
  Published Online：24 April 2019，
  
  Published：05 December 2019
- 稿件说明：
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Li-hua WU, Jia ZHANG, Yan-jun DENG, et al. Spectrum-effect Model of Salvia miltiorrhiza Stem and Leaves Based on Enzymatic Activity[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(23): 133-138.
DOI：

Li-hua WU, Jia ZHANG, Yan-jun DENG, et al. Spectrum-effect Model of Salvia miltiorrhiza Stem and Leaves Based on Enzymatic Activity[J]. Chinese journal of experimental traditional medical formulae, 2019, 25(23): 133-138. DOI： 10.13422/j.cnki.syfjx.20191513.

摘要

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。

Abstract

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

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

miltiorrhiza

stems and leaves were used to verify the model.

Result:

Totally 7 characteristic peaks were obtained in the fingerprints of

miltiorrhiza

leaves. Kendalls tau-b correlation analysis showed the correlations between the blood circulating activity of

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

miltiorrhiza

关键词

Keywords

references

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

DOI：10.13422/j.cnki.syfjx.20191513

摘要

Abstract

关键词

Keywords

references