Quality evaluation of Prunella vulgaris based on entropy weight method and grey correlation degree analysis method
- VernacularTitle:基于熵权法和灰色关联度分析法的夏枯草质量评价
- Author:
Guochao LI
1
;
Huijuan LU
1
;
Shengguo JI
1
Author Information
1. School of Traditional Chinese Medicine，Guangdong Pharmaceutical University，Guangzhou 510006，China
- Publication Type:Journal Article
- Keywords:
Prunella vulgaris;
content determination;
entropy weight method;
grey correlation degree;
quality evaluation
- From:
China Pharmacy
2022;33(24):2995-2998
- CountryChina
- Language:Chinese
-
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.
