化学计量学
阿魏酸
化学
咖啡酸
偏最小二乘回归
色谱法
黑升麻
主成分分析
迷迭香酸
传统医学
机器学习
人工智能
生物化学
计算机科学
生物
医学
抗氧化剂
遗传学
更年期
作者
Lihua Tan,Na Li,Guoqin Zhang,Zhenyu Zhou,Yanan Liu,Meng Wang,Xiaoliang Ren
摘要
ABSTRACT Cimicifuga Rhizoma, a traditional Chinese medicinal herb for treating toothache, aphtha, and measles, is also used as a dietary supplement for menopausal and osteoporosis management. Its therapeutic variability hinges on diverse processing methods, yet systematic quality assessment remains elusive. Here, nine processed Cimicifuga products were prepared following pharmacopoeia and classical protocols. Ultra‐high performance liquid chromatography (UPLC) fingerprints integrated with multivariate chemometrics‐hierarchical clustered heatmap (HCH), principal component analysis (PCA), and orthogonal partial least squares‐discriminant analysis (OPLS‐DA) revealed three distinct clusters. Variable importance projection (VIP > 1) identified caffeic acid, ferulic acid, and isoferulic acid as key markers. Quantitative analysis demonstrated that heating temperature and duration critically influenced these phenolic acids: steaming significantly increased all three, with caffeic acid, ferulic acid, and isoferulic acid contents rising by 1.71‐, 1.27‐, and 1.02‐fold, respectively, whereas carbonization selectively elevated isoferulic acid by 3.03‐fold. This chemometric‐driven approach establishes a simplified yet robust framework for quality evaluation, linking processing parameters (e.g., thermal conditions) to chemical profiles. By bridging traditional processing knowledge with modern analytical rigor, the study provided actionable insights for standardizing Cimicifuga Rhizoma derivatives in clinical and industrial contexts.
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