Objective： To establish an HPLC fingerprint and chemical pattern recognition model of Yejuhua formula granules,providing reference for quality evaluation of Yejuhua formula granules. Methods： Analysis was performed on an Agilent C18（ 4.6 mm×250 mm,5 μm） column with acetonitrile-0.1% phosphoric acid for gradient elution. The flow rate was 1.0 mL·min-1,the detection wavelength was 300 nm,and the column temperature was 30 ℃.“Similarity Evaluation System of Fingerprint of Traditional Chinese Medicine（2012 edition）” was adopted to establish reference fingerprint and to calculate the similarities of 12 batches of Yejuhua formula granules. Combining with principal component analysis（ PCA） and cluster analysis（CA）,the overall quality of Yejuhua formula granules was evaluated. Results： Similarities of 12 batches of samples from 4 manufacturers were between 0.857 and 0.998. Samples were clustered into 4 types by PCA,which consistented with the source information of the sample. Cluster analysis result was consistent with that of principal component analysis. 10 characteristic peaks were selected and identified from 22 common peaks. Conclusion： The method combining chemical pattern recognition with HPLC fingerprint is simple and reliable, which can quickly evaluate the stability and consistency of different batches of Yejuhua formula granules from different manufacturers,and is suitable for the evaluation of the overall quality evaluation of Yejuhua formula granules.
ZHANG Li-xian, FAN Yi, LI Fei-fei, LI Zhi-ning, LI Zi-hong
. HPLC fingerprint combined with chemical pattern recognition for quality evaluation of Yejuhua formula granules*[J]. Chinese Journal of Pharmaceutical Analysis, 2021
, 41(5)
: 913
-918
.
DOI: 10.16155/j.0254-1793.2021.05.21
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