化学计量学
主成分分析
指纹(计算)
线性判别分析
萃取(化学)
质量(理念)
计算机科学
数学
模式识别(心理学)
层次聚类
人工智能
色谱法
化学
聚类分析
机器学习
认识论
哲学
作者
Can Peng,Yulong Zhu,Fulong Yan,Yue Su,Yaqin Zhu,Ziyu Zhang,Chijing Zuo,Huan Wu,Yunjing Zhang,Jiayi Kan,Daiyin Peng
出处
期刊:Food Chemistry
[Elsevier]
日期:2021-03-01
卷期号:340: 127907-127907
被引量:42
标识
DOI:10.1016/j.foodchem.2020.127907
摘要
As a homologous material of both medicine and food, licorice is a famous traditional Chinese medicine. In the application process, different origins and different extraction methods have an impact on the intrinsic quality of licorice. In order to ensure the intrinsic quality of commercially available licorice products, and to explore the influence of origin and extraction methods on the quality of licorice, we put forward a simple and effective discriminatory method for “chemometrics analysis-based fingerprint establishment”. First, fingerprints of licorice ethanol extraction (LEE) and licorice water extraction (LWE) were established. Then, similarity analysis (SA), hierarchical clustering analysis (HCA), principal component analysis (PCA) and other chemometrics methods were used to select qualitative and quantitative markers. Besides, the quantitative determination of 7 compounds of licorice with statistical significance was carried out, which provided accurate and informative data for quality evaluation. Finally, discriminant analysis was used to trace the origin of licorice.
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