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Study on quality evaluation of Yankening tablets based on fingerprint combined with multivariate statistical analysis and multi-component quantification
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Hong-ming WANG1, Xiao-bing WANG2, Xue-li XU1, *, Xiu-kun LIANG1
Chinese Journal of Pharmaceutical Analysis | 2025, 45(3) : 504 - 513
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Chinese Journal of Pharmaceutical Analysis | 2025, 45(3): 504-513
Quality Control
Study on quality evaluation of Yankening tablets based on fingerprint combined with multivariate statistical analysis and multi-component quantification
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Hong-ming WANG1, Xiao-bing WANG2, Xue-li XU1, *, Xiu-kun LIANG1
Affiliations
  • 1. Binzhou Inspection and Testing Center, Binzhou 256600, China
  • 2. Shandong Institute for Food and Drug Control, Jinan 250000, China
Published: 2025-03-31 doi: 10.16155/j.0254-1793.2024-0450
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Objective: To establish a method for determining the fingerprint of Yankening tablets and evaluate their quality combined with multivariate statistical analysis and multi-component quantification. Methods: The seperation was performed on a 30 ℃ thermostatic InertSustain C18(250 mm×4.6 mm, 5 μm) column,with the mobile phase comprising of methanol-acetonitrile-0.2% phosphoric acid flowing at 1.0 mL · min-1 in a gradient elution manner, and the detection wavelength was set at 254 nm to establish HPLC fingerprint of Yankening tablets,contents of 10 components (berberine hydrochloride, baicalin, wogonoside, baicalein, aloe emodin, wogonin, rhein,emodin, chrysophanol, emodin methyl ether) in 17 batches of Yankening tablets were determined, and similarity evaluation, cluster analysis, entropy weight TOPSIS method, and entropy weight grey correlation analysis were used to comprehensively evaluate the quality of Yankening tablets. Results: There were significant differences in the quality of Yankening tablets of the current market. 33 common peaks were obtained by matching in the fingerprints of 17 batches of samples, and the similarity evaluation and cluster analysis results showed differences among different samples. The comprehensive quality ranking and multi-component content determination revealed that the important factors affecting drug quality were the quality and process control level of the three medicinal herbs,Phellodendri Chinensis Cortex, Coptidis Rhizoma and Scutellariae Radix. Conclusion: The fingerprint established by this method, combined with a multivariate statistical model, can provide reference for the quality evaluation research and products quality improvement of Yankening tablets.

Yankening tablets  /  fingerprint  /  cluster analysis  /  entropy weight TOPSIS method  /  entropy weight grey correlation analysis
Hong-ming WANG, Xiao-bing WANG, Xue-li XU, Xiu-kun LIANG. Study on quality evaluation of Yankening tablets based on fingerprint combined with multivariate statistical analysis and multi-component quantification[J]. Chinese Journal of Pharmaceutical Analysis, 2025 , 45 (3) : 504 -513 . DOI: 10.16155/j.0254-1793.2024-0450
Year 2025 volume 45 Issue 3
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doi: 10.16155/j.0254-1793.2024-0450
  • Receive Date:2024-07-11
  • Online Date:2026-03-17
  • Published:2025-03-31
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  • Received:2024-07-11
Affiliations
    1. Binzhou Inspection and Testing Center, Binzhou 256600, China
    2. Shandong Institute for Food and Drug Control, Jinan 250000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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