NATURAL PRODUCT RESEARCH AND DEVELOPMENT ›› 2020, Vol. 32 ›› Issue (12): 2051-2060. doi: 10.16333/j.1001-6880.2020.12.009

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Study on quality evaluation of Dysosma versipellis by HPLC fingerprint combined with multi-index content determination

CUI Yu-wen1*,HE Hao1,ZHANG Li2,LI Yu-ze2,HUNAG Wen-li2,ZHANG Hua-wei2,SONG Xiao-mei2   

  1. 1School of Pharmacy,Xi’an Medical University,Xi’an 710021,China;2 School of Pharmacy,Shaanxi University of Chinese Medicine,Shaanxi Qinling Chinese Herbal Medicine Application Development Engineering Technology Research Center/Shaanxi Provincial Key Laboratory of Traditional Chinese Medicine and New Drug Research,Xianyang 712046,China

  • Online:2020-12-28 Published:2020-12-24

Abstract:

To provide the scientific basis for the quality evaluation of Dysosma versipellis, its HPLC fingerprints was established,and the contents of five components were simultaneously determined.The analyses were performed on Thermo HyPURITY C18 column (250 mm×4.6 mm,5 μm),and the mobile phase comprised of MeOH (A) - 0.4% phosphoric acid aqueous solution (B) with the gradient elution at a flow rate of 1.0 mL/min.The detection wavelength was set at 290 nm;the column temperature was maintained at 30 ℃ and the injection volume was 10 μL.The HPLC fingerprint with twenty-eight common peaks of D. versipellis in 16 batches of sample was established,and the similarities of samples were good.Eight components were identified by comparison with the reference substances.Five components,namely,(+)-tanegool-7′-methylether,4′-demethylpodophyllotoxin,quercetin,podophyllotoxin,kaempferol were analyzed quantitatively.The linear relationship of five components was good (r2≥0.999 0).The precision,repeatability and stability were all in line with quantitative requirements.The average recoveries (n= 6) of five components were between 98.7% and 99.6%,and the RSD were less than 3%.The established method is simple,stable and reliable,and can be expected for the quality control of D. versipellis.

Key words: Dysosma versipellis, HPLC, fingerprints, cluster analysis, content determination

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