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：2023-02-22

- 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
- Published：30 December 2022，
  
  Received：08 April 2022，
  
  Revised：20 October 2022，
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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 ^Δ[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 ^Δ[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 and 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

夏枯草含量测定熵权法灰色关联度质量评价

Keywords

content determinationentropy weight methodgrey correlation degreequality evaluation

references

国家药典委员会.中华人民共和国药典：一部[S].2020年版.北京：中国医药科技出版社，2020：292.

赵东升，朱鹤云，关皎，等. RP-HPLC法同时测定夏枯草中3种三萜酸的含量[J]. 中国药房，2012，23（27）：2533-2535.

方罗，林能明，吴永江. 高效液相色谱同时测定夏枯草药材中4种活性成分的含量[J]. 中国中药杂志，2010，35（5）：616-619.

付晓瑞，李继昌，张明智. 夏枯草近代研究进展概述[J].中医研究，2005，18（6）：60-62.

钟楚楚，赵晋彤，范宇，等.夏枯草总黄酮提取方法的比较[J].广州化工，2020，48（2）：70-72.

刘颖，范巧佳. 夏枯草与白毛夏枯草的性状及组织显微鉴定[J].中药材，2007，30（10）：1230-1234.

黄宽，付鹏，林艾和，等.不同产地夏枯草HPLC指纹图谱及化学模式识别研究[J].中华中医药学刊，2021，39（12）：124-128，290.

国家药典委员会.中华人民共和国药典：四部[S]. 2020年版.北京：中国医药科技出版社，2020：114，232.

朱喜安，魏国栋.熵值法中无量纲化方法优良标准的探讨[J].统计与决策，2015（2）：12-15.

冯治国，赵祺，朱强，等.基于熵权法和灰色关联分析法评价安徽省不同产地黄精药材质量[J].中草药，2021，52（12）：3689-3695.

孙振阳，张景珍，王思雨，等.基于灰色关联度法评价西红花饮片质量[J].中成药，2019，41（10）：2430-2434.

杨昌贵，龚安慧，张成刚，等. HPLC法同时测定续断药材中7个成分的含量[J]. 中国药房，2022，33（6）：680-684.

高婷.探究影响中药储存及养护的常见因素[J].心血管病防治知识（学术版），2018（12）：95-96.

陈宇航，郭巧生，刘丽，等.贮藏年限及药材分级对夏枯草药材品质的影响[J].中国中药杂志，2012，37（7）：882-886.

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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