化学计量学
主成分分析
指纹(计算)
化学
偏最小二乘回归
线性判别分析
层次聚类
定性分析
成对比较
模式识别(心理学)
传统医学
色谱法
人工智能
统计
数学
聚类分析
计算机科学
定性研究
医学
社会科学
社会学
作者
Kexin Zhou,Meiqi Liu,Jie Gao,Yi Liu,Xiaoliang Ren,Lili Sun,Yanan Liu
标识
DOI:10.1002/cbdv.202300458
摘要
Abstract Polygonati Rhizoma has been a famous traditional Chinese medicine (TCM) for two thousand years. It is increasingly being used not just as a traditional herbal medicine but also as a popular functional food. In this study, qualitative and quantitative analysis of PR from three different origins were initially performed using chemical fingerprint and chemometrics methods. Hierarchical cluster analysis (HCA) and Principal component analysis (PCA) were used to classify 60 PR samples from three different origins. The results revealed that the PR samples fell into three clusters related to the origins. In addition, pairwise comparison of varying PR and obtaining chemical markers between different species through the establishment of partial least squares discriminant analysis. Finally, chemical markers 9,13 and 17 were identified by LC/MS as disporopsin, 5,7‐dihydroxy‐3‐(4′‐hydroxybenzyl)‐6,8‐dimethylchroman‐4‐one and (3R)‐5,7‐dihydroxy‐3‐(4′‐hydroxybenzyl)‐6‐methylchroman‐4‐one or isomer, respectively. In conclusion, these methods can be applied to identify and distinguish the quality of PR with other original plants and provide novel ideas for evaluating herbal products used in TCM.
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