Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming 650500, China.
Research Center for Analysis and Measurement, Kunming University of Science and Technology, Kunming 650093, China.
Molecules. 2020 Feb 5;25(3):676. doi: 10.3390/molecules25030676.
In this study, we develop and validate a simultaneous quantification of polyphenols method based on an ultra-performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI-MS/MS) to adequately understand how different habitats influence the quality and profile of polyphenol. Furthermore, principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used to compare and discriminate 25 samples collected from different areas. A significant correlation was found between the polyphenol profile and the collection area. Significant differences in the polyphenol content of from different regions indicate that the genetic diversity of was relatively rich, possibly due to differences in cultivation conditions, climate, or soil environment resulting in the accumulation of different polyphenols. These observations provide a theoretical basis for subsequent germplasm selection and development research. Furthermore, the quantitative analysis methodology used to characterize the polyphenols may be used toward developing quality assessment and future pharmacodynamic investigations of .
在这项研究中，我们开发并验证了一种基于超高效液相色谱-电喷雾串联质谱（UPLC-ESI-MS/MS）的多酚同时定量方法，以充分了解不同生境如何影响多酚的质量和特征。此外，还采用主成分分析（PCA）和层次聚类分析（HCA）来比较和区分从不同地区采集的 25 个样本。发现多酚特征与采集区域之间存在显著相关性。来自不同地区的多酚含量存在显著差异，表明的遗传多样性相对丰富，这可能是由于栽培条件、气候或土壤环境的差异导致不同多酚的积累。这些观察结果为后续的种质选择和开发研究提供了理论依据。此外，用于表征多酚的定量分析方法可用于开发质量评估和未来的药效学研究。
