Yang Wenzhi, Qiao Xue, Li Kai, Fan Jingran, Bo Tao, Guo De-An, Ye Min
State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China; Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
Acta Pharm Sin B. 2016 Nov;6(6):568-575. doi: 10.1016/j.apsb.2016.05.005. Epub 2016 Jun 14.
To differentiate traditional Chinese medicines (TCM) derived from congeneric species in TCM compound preparations is usually challenging. The roots of (PG), (PQ) and (PN) are used as popular TCM. They contain similar triterpenoid saponins (ginsenosides) as the major bioactive constituents. Thus far, only a few chemical markers have been discovered to differentiate these three species. Herein we present a multiple marker detection approach to effectively differentiate the three species, and to identify them in compound preparations. Firstly, 85 batches of crude drug samples (including 32 PG, 30 PQ, and 23 PN) were analyzed by monitoring 40 major ginsenosides in the extracted ion chromatograms (EICs) using a validated LC-MS fingerprinting method. Secondly, the samples were clustered into different groups by pattern recognition chemometric approaches using PLS-DA and OPLS-DA models, and 17 diagnostic chemical markers were discovered. Aside from the previously known Rf and p-F, ginsenoside Rs could be a new marker to differentiate PG from PQ. Finally, the above multiple chemical markers were used to identify the species in 60 batches of TCM compound preparations.
区分中药复方制剂中同属物种来源的传统中药通常具有挑战性。人参(PG)、三七(PQ)和竹节参(PN)的根是常用的传统中药。它们含有相似的三萜皂苷(人参皂苷)作为主要生物活性成分。到目前为止,仅发现了少数化学标志物来区分这三个物种。在此,我们提出一种多标志物检测方法,以有效区分这三个物种,并在复方制剂中对它们进行鉴定。首先,采用经过验证的液相色谱-质谱指纹图谱方法,通过监测提取离子色谱图(EIC)中的40种主要人参皂苷,对85批药材样品(包括32批PG、30批PQ和23批PN)进行分析。其次,使用偏最小二乘判别分析(PLS-DA)和正交偏最小二乘判别分析(OPLS-DA)模型,通过模式识别化学计量学方法将样品聚类为不同组,并发现了17个诊断性化学标志物。除了先前已知的Rf和p-F外,人参皂苷Rs可能是区分PG和PQ的新标志物。最后,使用上述多种化学标志物对60批中药复方制剂中的这些物种进行鉴定。