Tiana Shuge, Yu Qian, Xin Lude, Zhou Zhaohui Sunny, Upur Halmuart
Xinjiang Key Laboratory of Famous Prescription and Science of Formulas, Urumqi-830011, Xinjiang, China.
Nat Prod Commun. 2012 Sep;7(9):1181-4.
An efficient and accurate fingerprinting method using reversed-phase rapid-resolution liquid-chromatography coupled with photodiode array detection has been developed and optimized to examine the variance in active compounds among Ziziphora clinopodioides Lam from different locations. Three active components, diosmin, linarin and pulegone, were identified by matching their retention times and UV spectra with the corresponding reference compounds. Our results indicated that chromatographic fingerprints, in combination with principal component analysis (PCA) and hierarchical clustering analysis (HCA), could efficiently identify and distinguish Z. clinopodioides from different sources. Our fingerprinting methods and data will be useful for quality control, and thus, more effective dosing in clinical application of Z. clinopodioides.
一种高效准确的指纹图谱方法已被开发和优化,该方法采用反相快速分离液相色谱结合光电二极管阵列检测,以研究不同产地的 Clinopodium polycephalum (Vant.) C. Y. Wu et Hsuan ex Hsuan var. gracile (Benth.) C. Y. Wu et Hsuan 中活性成分的差异。通过将三种活性成分香叶木素、蒙花苷和胡薄荷酮的保留时间和紫外光谱与相应的对照品进行匹配,对其进行了鉴定。我们的结果表明,色谱指纹图谱结合主成分分析(PCA)和层次聚类分析(HCA),可以有效地识别和区分不同来源的 Clinopodium polycephalum (Vant.) C. Y. Wu et Hsuan ex Hsuan var. gracile (Benth.) C. Y. Wu et Hsuan。我们的指纹图谱方法和数据将有助于质量控制,从而在 Clinopodium polycephalum (Vant.) C. Y. Wu et Hsuan ex Hsuan var. gracile (Benth.) C. Y. Wu et Hsuan 的临床应用中实现更有效的给药。