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Study on quality control of Hanchuan Zupa granules by HPLC fingerprint multi-pattern recognition combined with multi-index component determination
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Pei WEI1, Chun-quan CAO2, Miao QIAN1, Rui-juan ZHU1, Xin-tang SUN1, *
Chinese Journal of Pharmaceutical Analysis | 2024, 44(12) : 2127 - 2137
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Chinese Journal of Pharmaceutical Analysis | 2024, 44(12): 2127-2137
Quality Control
Study on quality control of Hanchuan Zupa granules by HPLC fingerprint multi-pattern recognition combined with multi-index component determination
Full
Pei WEI1, Chun-quan CAO2, Miao QIAN1, Rui-juan ZHU1, Xin-tang SUN1, *
Affiliations
  • 1.Food and Drug Technology Department of Shandong Vocational Animal Science and Veterinary College, Weifang 261061, China
  • 2.Pharmacy Department of Heze University, Heze 274000, China
Published: 2024-12-31 doi: 10.16155/j.0254-1793.2024-0029
Outline
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Objective:

To establish the HPLC fingerprint and multi-component quantitative analysis of Hanchuang Zupa granules, and evaluate the quality of multiple batches of Hanchuang Zupa granules by chemical pattern recognition technology.

Methods:

The sample pretreatment conditions and chromatographic analysis conditions of Hanchuang Zupa granules were optimized, and the optimal HPLC fingerprint and multi-component quantitative analysis method were established as follows: stationary phase was YMC-Pack ODS-A column (250 mm×4.6 mm, 5 μm, 12 nm) was adopted, and the mobile phase was acetonitrile-water (containing 0.1% phosphoric acid) with gradient elution, the detection wavelength was 220 nm, the column temperature was 30 ℃, the flow rate was 1.0 mL·min-1. Hierarchical cluster analysis (HCA), principal components analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) were applied to evaluate the quality of 17 batches of Hanchuang Zupa granules.

Results:

Methodological investigation of HPLC fingerprint and content determination were well verified and met the analysis requirements. A total of 25 common peaks were obtained by full peak matching, and eight of them were identified by comparing with the retention time of mixed reference substances. The similarities of 17 batches of samples were above 0.90, which showed good consistency and stability between the samples. Seventeen samples could be classified into three clusters. Three principal components from 21 common peaks were extracted by PCA. Six quality differential compounds were presented in the fingerprints by OPLS-DA, including rutoside, gallic acid, ammonium glycyrrhizinate, chlorogenic acid and so on. The resolution and linear relationship of eight components in quantitative analysis were good. The average recovery rates were 98.0%-99.1% with RSD≤2.0%.

Conclusion:

In this study, the qualitative analysis of HPLC fingerprint and quantitative analysis of multiple index components is specific, simple and accurate, which can provide a reference for the quality control and quality evaluation of Hanchuang Zupa granules.

Hanchuang Zupa granules  /  high-performance liquid chromatography fingerprints  /  chemical pattern recognition  /  quantitative analysis  /  quality control
Pei WEI, Chun-quan CAO, Miao QIAN, Rui-juan ZHU, Xin-tang SUN. Study on quality control of Hanchuan Zupa granules by HPLC fingerprint multi-pattern recognition combined with multi-index component determination[J]. Chinese Journal of Pharmaceutical Analysis, 2024 , 44 (12) : 2127 -2137 . DOI: 10.16155/j.0254-1793.2024-0029
Year 2024 volume 44 Issue 12
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Article Info
doi: 10.16155/j.0254-1793.2024-0029
  • Receive Date:2024-01-15
  • Online Date:2026-03-13
  • Published:2024-12-31
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  • Received:2024-01-15
Affiliations
    1.Food and Drug Technology Department of Shandong Vocational Animal Science and Veterinary College, Weifang 261061, China
    2.Pharmacy Department of Heze University, Heze 274000, 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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