化学计量学
党参
指纹(计算)
根(腹足类)
色谱法
高效液相色谱法
质量评定
化学
评价方法
计算机科学
人工智能
生物
工程类
植物
病理
中医药
可靠性工程
替代医学
医学
作者
Jieyu Lei,Rulan Jiang,Meihui Gong,Huimin Wu,Wenli Chen,Xinjun Xu
出处
期刊:Analytical Methods
[Royal Society of Chemistry]
日期:2025-01-01
卷期号:17 (30): 6199-6208
摘要
≥ 0.9998) within the tested range, and the mean recoveries ranged from 99.46% to 101.51%. A common fingerprint, consisting of 13 characteristic peaks, was established for CR samples from different production areas in China. HPLC-DAD-ESI-MS/MS was used to further identify the common peaks in the fingerprint. Various chemometrics analyses, including similarity analysis (SA), hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA), were employed to classify the samples. Among these methods, OPLS-DA was particularly effective in distinguishing CR samples of different plant sources. The results demonstrate that the established method is effective for the comprehensive quality evaluation of CR, providing a reliable approach for its quality control and standardization.
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