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[Application research of entropy weight-based grey systematic theory in quality evaluation of Angelicae Sinensis Radix slices].
Zhongguo Zhong Yao Za Zhi. 2020 Nov; 45(21):5200-5208.ZZ

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.

Authors+Show Affiliations

College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.College of Chinese Medicine, Beijing University of Chinese Medicine Beijing 102488, China.

Pub Type(s)

Journal Article

Language

chi

PubMed ID

33350236

Citation

Yao, Zhang, et al. "[Application Research of Entropy Weight-based Grey Systematic Theory in Quality Evaluation of Angelicae Sinensis Radix Slices]." Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica, vol. 45, no. 21, 2020, pp. 5200-5208.
Yao Z, Hui G, Xin-Jie W, et al. [Application research of entropy weight-based grey systematic theory in quality evaluation of Angelicae Sinensis Radix slices]. Zhongguo Zhong Yao Za Zhi. 2020;45(21):5200-5208.
Yao, Z., Hui, G., Xin-Jie, W., Yue-Xin, C., Gui-Mei, Z., Zi-Ye, Y., Hui-Nan, W., Pei-Hua, W., Meng-Yu, C., & Ying-Zi, W. (2020). [Application research of entropy weight-based grey systematic theory in quality evaluation of Angelicae Sinensis Radix slices]. Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica, 45(21), 5200-5208. https://doi.org/10.19540/j.cnki.cjcmm.20200811.301
Yao Z, et al. [Application Research of Entropy Weight-based Grey Systematic Theory in Quality Evaluation of Angelicae Sinensis Radix Slices]. Zhongguo Zhong Yao Za Zhi. 2020;45(21):5200-5208. PubMed PMID: 33350236.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Application research of entropy weight-based grey systematic theory in quality evaluation of Angelicae Sinensis Radix slices]. AU - Yao,Zhang, AU - Hui,Gao, AU - Xin-Jie,Wang, AU - Yue-Xin,Cui, AU - Gui-Mei,Zhang, AU - Zi-Ye,Yang, AU - Hui-Nan,Wang, AU - Pei-Hua,Wang, AU - Meng-Yu,Chen, AU - Ying-Zi,Wang, PY - 2020/12/22/entrez PY - 2020/12/23/pubmed PY - 2020/12/23/medline KW - Angelicae Sinensis Radix slices KW - comprehensive evaluation KW - entropy weight method KW - gray correlation method KW - multiple indicators SP - 5200 EP - 5208 JF - Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica JO - Zhongguo Zhong Yao Za Zhi VL - 45 IS - 21 N2 - 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. SN - 1001-5302 UR - https://www.unboundmedicine.com/medline/citation/33350236/[Application_research_of_entropy_weight-based_grey_systematic_theory_in_quality_evaluation_of_Angelicae_Sinensis_Radix_slices]. L2 - https://antibodies.cancer.gov/detail/CPTC-GRB2-1 DB - PRIME DP - Unbound Medicine ER -