Quality evaluation of <italic style="font-style: italic">Prunella vulgaris</italic> based on entropy weight method and grey correlation degree analysis method

LI Guochao; LU Huijuan; JI Shengguo

doi:10.6039/j.issn.1001-0408.2022.24.10

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Quality evaluation of Prunella vulgaris based on entropy weight method and grey correlation degree analysis method

更新时间：2025-09-26

- Quality evaluation of Prunella vulgaris based on entropy weight method and grey correlation degree analysis method
- ZHONGGUO YAOFANG Vol. 33, Issue 24, Pages: 2995-2998(2022)
- 作者机构：
  
  广东药科大学中药学院，广州　510006
- 作者简介：
- 基金信息：
- DOI：10.6039/j.issn.1001-0408.2022.24.10
  CLC： R932;917
- Received：08 April 2022，
  
  Revised：2022-10-20，
  
  Published：30 December 2022
- 稿件说明：
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李国超,卢慧娟,姬生国.基于熵权法和灰色关联度分析法的夏枯草质量评价[J].中国药房,2022,33(24):2995-2998.

LI Guochao,LU Huijuan,JI Shengguo.Quality evaluation of Prunella vulgaris based on entropy weight method and grey correlation degree analysis method[J].ZHONGGUO YAOFANG,2022,33(24):2995-2998.
李国超,卢慧娟,姬生国.基于熵权法和灰色关联度分析法的夏枯草质量评价[J].中国药房,2022,33(24):2995-2998. DOI： 10.6039/j.issn.1001-0408.2022.24.10.

LI Guochao,LU Huijuan,JI Shengguo.Quality evaluation of Prunella vulgaris based on entropy weight method and grey correlation degree analysis method[J].ZHONGGUO YAOFANG,2022,33(24):2995-2998. DOI： 10.6039/j.issn.1001-0408.2022.24.10.

摘要

目的

通过测定迷迭香酸、总黄酮、水分及水溶性浸出物的含量，同时结合熵权法和灰色关联度分析法评价夏枯草药材的质量。

方法

采用高效液相色谱法测定迷迭香酸含量；采用紫外分光光度法测定总黄酮含量；按照《中国药典》（四部）通则测定水分及水溶性浸出物含量；采用熵权法计算迷迭香酸等4个指标的权重，同时结合灰色关联度分析法计算各指标的相对关联度并对117批夏枯草的质量进行排序。

结果

迷迭香酸、总黄酮、水分及水溶性浸出物的含量分别为0.237 1%～0.943 0%、2.923 6%～6.400 7%、8.736 7%～12.446 3%、11.638 8%～19.166 2%；权重分别为0.297 1、0.277 5、0.163 7、0.261 6；相对关联度为0.159 3～0.616 3，以S24批样品的关联度最高（0.616 3），其中江苏南京产夏枯草的相对关联度为0.500 9～0.616 3，排名靠前。

结论

以迷迭香酸、总黄酮、水分及水溶性浸出物含量为评价指标，采用熵权法和灰色关联度分析法可用于夏枯草的质量评价；不同批次夏枯草质量存在差异，以江苏南京产夏枯草质量最优。

Abstract

OBJECTIVE

To evaluate the quality of

Prunella vulgaris

by entropy weight method combined with grey correlation degree analysis method by determining the contents of rosmarinic acid， total flavonoids， water and water-soluble extract.

METHODS

The content of rosmarinic acid was determined by HPLC； the content of total flavonoids was determined by UV spectrophotometry； the contents of water and water-soluble extract were determined according to the general rules of

Chinese Pharmacopoeia

（part Ⅳ）. The weight coefficients of four indexes as rosmarinic acid were calculated by entropy weight method， and the relative correlation degree of each index was analyzed by grey correlation degree analysis method， and the quality of 117 batches of

P. vulgaris

was ranked.

RESULTS

The contents of rosmarinic acid， total flavonoids， water an

d water-soluble extractive were 0.237 1%-0.943 0%， 2.923 6%-6.400 7%， 8.736 7%-12.446 3%， 11.638 8%-19.166 2%， respectively. The weight coefficients were 0.297 1， 0.277 5， 0.163 7 and 0.261 6， respectively. The relative correlation degrees were 0.159 3-0.616 3， and the correlation degree of S24 batch of samples was the highest （0.616 3）； that of

P. vulgaris

from Nanjing of Jiangsu Province ranged from 0.500 9 to 0.616 3， ranking the first.

CONCLUSIONS

Using the contents of rosmarinic acid， total flavonoids， water and water-soluble extract as indexes， entropy weight method and grey correlation degree analysis method can be used to evaluate the quality of

P. vulgaris

. The quality of different batches of

P. vulgaris

are different， and the quality of

P. vulgaris

produced in Nanjing of Jiangsu Province is the best.

关键词

Keywords

references

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⁰

Quality evaluation of Prunella vulgaris based on entropy weight method and grey correlation degree analysis method

DOI：10.6039/j.issn.1001-0408.2022.24.10

摘要

Abstract

关键词

Keywords

references