LANG Shuqin, XIAO Xiaowu, WU Minyu, DAI Min, REN Qi, YAO Min, FU Huizheng. Study on HPLC Fingerprint and Multiple Index Components Determination of Changtongshu GranulesJ. Chinese Journal of Modern Applied Pharmacy, 2025, 42(1): 89-96. DOI: 10.13748/j.cnki.issn1007-7693.20232193
    Citation: LANG Shuqin, XIAO Xiaowu, WU Minyu, DAI Min, REN Qi, YAO Min, FU Huizheng. Study on HPLC Fingerprint and Multiple Index Components Determination of Changtongshu GranulesJ. Chinese Journal of Modern Applied Pharmacy, 2025, 42(1): 89-96. DOI: 10.13748/j.cnki.issn1007-7693.20232193

    Study on HPLC Fingerprint and Multiple Index Components Determination of Changtongshu Granules

    • OBJECTIVE  To establish the HPLC fingerprint of Changtongshu granules, and components determination methods of multi-index component.
      METHODS  HPLC was used to create the fingerprint of Changtongshu granules, and to evaluate the similarity of 22 batches of samples from 3 companies by the similarity evaluation system software for traditional Chinese medicine fingerprint. With Agilent ZORBAX SB-C18 chromatographic column(250 mm×4.6 mm, 5 μm), acetonitrile-0.2% phosphoric acid as mobile phase of gradient elution, column temperature of 35 °C, flow rate of 1 mL·min−1. To determine the contents of gallic acid, protocatechin acid, paeoniflorin, 2,3,5,4’-tetrahydroxy stilbene-2-O-β-D-glucoside, benzoic acid and emodin. The quality of sample was evaluated using cluster analysis, principal component analysis and orthogonal partial least squares method-discriminant analysis.
      RESULTS  A total of 12 common peaks were identified, and 7 components were identified. Comparing the 22 batches of samples from 3 different companies with the reference fingerprint, only 3 batches of samples had a similarity above 0.96, 1 sample greater than 0.87, while the similarity of the remaining samples ranged from 0.627 to 0.859. Though cluster analysis, the sample from manufacturer A were clustered into group Ⅰ, the sample from manufacturer B were clustered into group Ⅱ, and the sample from manufacturer C was clustered into group Ⅲ. Principal component analysis showed that the cumulative variance contribution rate of the six principal components was 94.447%, and the classification results of the three-dimensional model were consistent with cluster analysis. Based on orthogonal partial least squares method-discriminant analysis, 6 components with large differences were identified, including gallic acid, protocatechin acid, paeoniflorin, 2,3,5,4’-tetrahydroxy stilbene-2-O-β-D-glucoside, benzoic acid, and emodin.
      CONCLUSION  The established method is accurate, simple and good repeatability, and it can be used for Chuantongshu granules quality control and evaluation.
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