Dan Mo, Su Mingming, Gao Xianfu, Zhao Tie, Zhao Aihua, Xie Guoxiang, Qiu Yunping, Zhou Mingmei, Liu Zhong, Jia Wei
School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China.
Phytochemistry. 2008 Aug;69(11):2237-44. doi: 10.1016/j.phytochem.2008.04.015. Epub 2008 Jun 10.
The metabolite profiling of different parts of Panax notoginseng was carried out using rapid ultra-performance liquid chromatography-electrospray ionization mass spectrometry (UPLC-ESI-MS) and multivariate statistical analysis. Principal component analysis (PCA) of the UPLC-ESI-MS data showed a clear separation of compositions among the flower buds, roots and rhizomes of P. notoginseng. The saponins accounting for such variations were identified through the corresponding loadings weights and were further verified by accurate mass, tandem mass and retention times of available standard saponins using UPLC quadrupole time-of-flight mass spectrometer (UPLC-QtofMS). Finally, the influential factors of different metabolic phenotypes of P. notoginseng was elucidated. The currently proposed UPLC-ESI-MS/MS analytical method coupled with multivariate statistical analysis can be further utilized to evaluate chemical components obtained from different parts of the plant and/or the plant of different geographical locations, thereby classifying the medicinal plant resources and potentially elucidating the mechanism of inherent phytochemical diversity.
采用快速超高效液相色谱-电喷雾电离质谱联用技术(UPLC-ESI-MS)和多元统计分析方法,对三七不同部位的代谢产物进行了分析。对UPLC-ESI-MS数据进行主成分分析(PCA),结果显示三七的花芽、根和根茎之间的成分有明显分离。通过相应的载荷权重确定了导致这些差异的皂苷,并使用超高效液相色谱四极杆飞行时间质谱仪(UPLC-QtofMS),通过可用标准皂苷的精确质量、串联质谱和保留时间进一步验证。最后,阐明了三七不同代谢表型的影响因素。目前提出的UPLC-ESI-MS/MS分析方法与多元统计分析相结合,可进一步用于评估从植物不同部位和/或不同地理位置的植物中获得的化学成分,从而对药用植物资源进行分类,并有可能阐明其内在植物化学多样性的机制。