Volume 1 Issue 2
May  2011
Turn off MathJax
Article Contents
Yun-Li Zhao, Rong-Hua Fan, Hong-Xia Yuan, Miao Yu, Kai-Shun Bi, Zhi-Guo Yu. Development of the fingerprints for the quality evaluation of Viscum coloratum by high performance liquid chromatography[J]. Journal of Pharmaceutical Analysis, 2011, 01(2): 113-118.
Citation: Yun-Li Zhao, Rong-Hua Fan, Hong-Xia Yuan, Miao Yu, Kai-Shun Bi, Zhi-Guo Yu. Development of the fingerprints for the quality evaluation of Viscum coloratum by high performance liquid chromatography[J]. Journal of Pharmaceutical Analysis, 2011, 01(2): 113-118.

Development of the fingerprints for the quality evaluation of Viscum coloratum by high performance liquid chromatography

Funds:

国家自然科学基金

the Science and Technology Research Projects of the Educational Commission of Liaoning Province

the Scientific Research Foundation for the Doctors of the Liaoning Provincial Department of Science and Technology

  • Publish Date: May 10, 2011
  • A high-performance liquid chromatography coupled ultraviolet (HPLC-UV) method was developed for a chemical fingerprint analysis of Viscum coloratum. Eighteen peaks were selected as the common peaks and Homoeriodictyol-7-O-β-D-apiosiyl-(1→2)-β-D-glucoside was used as a reference.The relative areas of common peaks were used for hierarchical clustering analysis and similarity calculation.Thirty-seven samples collected from different sources were classified imo five groups.The similarities of 21 batches Viscum coloratuma samples were beyond 0.90.The results obtained suggest that the chromatographic fingerprint can efficiently identify Viscum coloratum.Additionally,the fingerprints can then be used to evaluate the correlation between Viscum coloratum and hosts.
  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (84) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return