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Optimization of extraction technology of Banxia Baizhu Tianma Decoction by chemometrics combined with information entropy weighting / 中草药
Chinese Traditional and Herbal Drugs ; (24): 995-1002, 2020.
Article in Chinese | WPRIM | ID: wpr-846600
ABSTRACT

Objective:

The extraction process optimization method of chemometrics combined with information entropy weight was established and applied to the water extraction process optimization of Banxia Baizhu Tianma Decoction (BBTD), in order to fully ensure the effectiveness and quality consistency of classical prescription.

Methods:

Taking BBTD as the model drug, the fingerprint was established by HPLC method. The common peak area was analyzed by principal component analysis (PCA), the total factor score of PCA, the similarity of fingerprint and the yield of dry paste were used as evaluation indexes. L9(34) orthogonal design was used to investigate the effects of adding water, soaking time and boiling time on the extraction effect, and the

Objective:

weight of each index was determined by information entropy weighting method. The technological parameters of water extraction were optimized.

Results:

Twenty-six common peaks and seven compounds were identified by the similarity evaluation system of chromatographic fingerprints of traditional Chinese medicine. According to the results of comprehensive score, the optimum extraction process of the preparation was determined to be 12 times the amount of water, decoction twice, 1 hour each time. The average comprehensive score of the three batches of verification was 0.418 0 with RSD of 3.32%.

Conclusion:

The optimized process has high extraction rate, good stability and repeatability, and is suitable for the industrial production of BBTD.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Traditional and Herbal Drugs Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Traditional and Herbal Drugs Year: 2020 Type: Article