Application research of entropy weight-based grey systematic theory in quality evaluation of Angelicae Sinensis Radix slices.
10.19540/j.cnki.cjcmm.20200811.301
- Author:
Yao ZHANG
1
;
Hui GAO
1
;
Xin-Jie WANG
1
;
Yue-Xin CUI
1
;
Gui-Mei ZHANG
1
;
Zi-Ye YANG
1
;
Hui-Nan WANG
1
;
Pei-Hua WANG
1
;
Meng-Yu CHEN
1
;
Ying-Zi WANG
1
Author Information
1. College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.
- Publication Type:Journal Article
- Keywords:
Angelicae Sinensis Radix slices;
comprehensive evaluation;
entropy weight method;
gray correlation method;
multiple indicators
- MeSH:
Angelica sinensis;
Drugs, Chinese Herbal;
Entropy;
Oils, Volatile;
Plant Roots;
Reproducibility of Results
- From:
China Journal of Chinese Materia Medica
2020;45(21):5200-5208
- CountryChina
- Language:Chinese
-
Abstract:
In order to discuss the "entropy weight method" for weighting various indicators in the comprehensive evaluation of Angelicae Sinensis Radix slices(ASR), the quality of ASR was comprehensively evaluated by entropy weight-based gray systematic theory and cluster analysis. In this study, the contents of ferulic acid, volatile oil, polysaccharide, alcohol extract, water extract, moisture, total ash and acid-insoluble ash in 44 batches of ASR from different sources were determined. The entropy weight method was used for objective weighting. With relative correlation(r_i) as a measure, a multi-index comprehensive evaluation model was constructed for the quality of ASR. The results showed that the relative correlation value of 44 batches of ASR ranged from 0.301 9 to 0.662 9. There were certain differences in the quality of ASR from different sources. The ASR S1-S8, traceable and standardized in processing techno-logy, showed a high relative correlation degree and high quality ranking, indicating that the implementation of systemic management of the production chain of Chinese herbal pieces was beneficial to the quality control of ASR. The quality evaluation results of 44 batches of ASR were consistent with those of traditional geo-authentic habitats for ASR and the mainstream varieties of ASR on market, and basically consistent with the results of cluster analysis. This study suggests that the gray systematic theory based on the entropy weighting method can be used for the quality evaluation of ASR. The objective weighting of the entropy weight method improves the reliability of the gray correlation method and the scientificity of ASR quality evaluation.
