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市售茶叶中生物活性化合物的定量分析:使用靶向统计方法分析儿茶素生物碱、酚酸和黄酮醇

Quantitative Analysis of Bioactive Compounds in Commercial Teas: Profiling Catechin Alkaloids, Phenolic Acids, and Flavonols Using Targeted Statistical Approaches.

作者信息

Chen Yuan, Lai Lingling, You Youli, Gao Ruizhen, Xiang Jiaxin, Wang Guojun, Yu Wenquan

机构信息

Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.

Fujian Tea Science Society, Fuzhou 350013, China.

出版信息

Foods. 2023 Aug 17;12(16):3098. doi: 10.3390/foods12163098.

DOI:10.3390/foods12163098
PMID:37628097
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10453493/
Abstract

Tea, an extensively consumed and globally popular beverage, has diverse chemical compositions that ascertain its quality and categorization. In this investigation, we formulated an analytical and quantification approach employing reversed-phase ultra-high-performance liquid chromatography (UHPLC) methodology coupled with diode-array detection (DAD) to precisely quantify 20 principal constituents within 121 tea samples spanning 6 distinct variants. The constituents include alkaloids, catechins, flavonols, and phenolic acids. Our findings delineate that the variances in chemical constitution across dissimilar tea types predominantly hinge upon the intricacies of their processing protocols. Notably, green and yellow teas evinced elevated concentrations of total chemical moieties vis à vis other tea classifications. Remarkably divergent levels of alkaloids, catechins, flavonols, and phenolic acids were ascertained among the disparate tea classifications. By leveraging random forest analysis, we ascertained gallocatechin, epigallocatechin gallate, and epicatechin gallate as pivotal biomarkers for effective tea classification within the principal cadre of tea catechins. Our outcomes distinctly underscore substantial dissimilarities in the specific compounds inherent to varying tea categories, as ascertained via the devised and duly validated approach. The implications of this compositional elucidation serve as a pertinent benchmark for the comprehensive assessment and classification of tea specimens.

摘要

茶是一种广泛消费且全球流行的饮品,其化学成分多样,这些成分决定了茶的品质和分类。在本研究中,我们制定了一种分析和定量方法,采用反相超高效液相色谱(UHPLC)方法结合二极管阵列检测(DAD),以精确量化121个茶样中20种主要成分,这些茶样涵盖6个不同品种。这些成分包括生物碱、儿茶素、黄酮醇和酚酸。我们的研究结果表明,不同茶类的化学成分差异主要取决于其加工工艺的复杂性。值得注意的是,相对于其他茶类,绿茶和黄茶显示出更高的总化学成分浓度。在不同的茶类中,生物碱、儿茶素、黄酮醇和酚酸的含量差异显著。通过随机森林分析,我们确定了没食子儿茶素、表没食子儿茶素没食子酸酯和表儿茶素没食子酸酯是茶儿茶素主要类别中有效区分茶叶的关键生物标志物。我们的研究结果清楚地表明,通过设计并经过充分验证的方法确定,不同茶类所特有的特定化合物存在显著差异。这种成分解析的意义为茶叶样本的全面评估和分类提供了相关基准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef6f/10453493/f77ba6533a1c/foods-12-03098-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef6f/10453493/245efeda87a2/foods-12-03098-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef6f/10453493/f77ba6533a1c/foods-12-03098-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef6f/10453493/245efeda87a2/foods-12-03098-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef6f/10453493/f77ba6533a1c/foods-12-03098-g002.jpg

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