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不同地理来源艾叶中酚类化合物和矿质元素的比较及化学计量学分析

Comparison and chemometrics analysis of phenolic compounds and mineral elements in Artemisia Argyi Folium from different geographical origins.

作者信息

Hu Lifei, Zhu Fengxiao, Wang Yifan, Wu Tao, Wu Xin, Huang Zhian, Sun Daihua, Liu Mingxing

机构信息

Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Life and Health Sciences, Hubei University of Technology, Wuhan 430068, China.

Hubei Key Lab of Quality and Safety of Traditional Chinese Medicine & Health Food, Huangshi 435100, China.

出版信息

Food Chem X. 2024 Oct 18;24:101909. doi: 10.1016/j.fochx.2024.101909. eCollection 2024 Dec 30.

Abstract

The quality of Artemisia Argyi Folium (AAF), a traditional Chinese food ingredient, is intrinsically linked to its geographical origin, which this study explores through phenolic compounds and mineral elements. The contents of 17 phenols and 18 minerals differed significantly between geographically distinct samples according to UHPLC and ICP-MS, respectively. Chemometrics indicated that a supervised model, orthogonal partial least squares discriminant analysis (OPLS-DA), outperformed unsupervised methods at classifying AAF samples by their origins. Phenols were more effective at distinguishing samples from seven provinces, while minerals were adept at differentiating samples from the Dabie Mountain region (three provinces) and those from four other provinces. Six phenols and 10 minerals were important variables for discrimination. Complex correlations were observed between the contents of various phenols and minerals in AAF, with minerals possibly affecting the accumulation of phenols. This study provides an approach for distinguishing geographically distinct AAF samples and determining their geographical origins.

摘要

艾叶是一种传统的中国食品原料,其品质与产地有着内在联系,本研究通过酚类化合物和矿质元素来探索这一联系。根据超高效液相色谱法(UHPLC)和电感耦合等离子体质谱法(ICP-MS),17种酚类和18种矿质元素的含量在地理来源不同的样品间存在显著差异。化学计量学表明,在通过产地对艾叶样品进行分类时,一种有监督的模型——正交偏最小二乘判别分析(OPLS-DA)优于无监督方法。酚类在区分来自七个省份的样品方面更有效,而矿质元素则擅长区分来自大别山区(三个省份)的样品和来自其他四个省份的样品。六种酚类和十种矿质元素是重要的判别变量。在艾叶中,各种酚类和矿质元素的含量之间存在复杂的相关性,矿质元素可能会影响酚类的积累。本研究提供了一种区分地理来源不同的艾叶样品并确定其产地的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86ad/11533654/5ee0a8183c74/gr1.jpg

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