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基于 UHPLC-Q-TOF/MS 代谢组学结合多元统计分析的信阳毛尖茶产地鉴别。

Region identification of Xinyang Maojian tea using UHPLC-Q-TOF/MS-based metabolomics coupled with multivariate statistical analyses.

机构信息

Key Laboratory of Tea-Plants Comprehensive Utilization in Southern Henan Province, Tea Science Department, Xinyang Agriculture and Forestry University, Xinyang, Henan, P. R. China.

College of Longrun Pu-erh Tea, Yunnan Agricultural University, Kunming, Yunnan, P. R. China.

出版信息

J Food Sci. 2021 May;86(5):1681-1691. doi: 10.1111/1750-3841.15676. Epub 2021 Apr 2.

DOI:10.1111/1750-3841.15676
PMID:33798265
Abstract

Xinyang Maojian tea is a kind of famous roasted green tea produced in the middle of China. Ultra-high performance liquid chromatography-quadrupole time of flight-mass spectrometry (UHPLC-Q-TOF/MS)-based metabolomics coupled with multivariate statistical analyses, including principal component analysis (PCA) and hierarchical cluster analysis (HCA), were carried out in XMMJTs collected from Luoshan, Shangcheng, and Shihe Counties, respectively. Additionally, seven catechins, four flavonoids, two purine alkaloids, and gallic acid contents were determined by HPLC. Differential metabolites were selected by p-value <0.05, and fold change >1.50 or < 0.66 among 745 detected metabolites in metabolomics analysis. The results showed significant (p < 0.05) differences of three catechins including (-)-epicatechin, (-)-epicatechin gallate, and (-)-gallocatechin gallate, four flavonoids (i.e. quercetin, kaempferol, myricetin, and rutin), and theobromine among three various regions, and significant (p < 0.05) differences of (-)-epicatechin gallate, (-)-epigallocatechin, (+)-catechin, gallic acid, and kaempferol between Shuchazao and Group cultivar. The HCA showed that, except for two samples (i.e. LS 2 and SH 2) of Shuchazao cultivar clustered together, others could be clustered completely according to production place. The 63 relevant differential metabolites could achieve the purpose of region identification through PCA. Kyoto encyclopedia of genes and genomes (KEGG) metabolic pathway analysis elaborated the impact of geographical origin and tea cultivar on physiological metabolism in tea tree. PRACTICAL APPLICATION: Ultra-high performance liquid chromatography-quadrupole time of flight-mass spectrometry (UHPLC-Q-TOF/MS)-based liquid chromatography-tendem mass spectrometry (LC-MS/MS) metabolomics coupled with multivariate statistical analyses, such as principal component analysis (PCA) and hierarchical cluster analysis (HCA), revealed 63 differential metabolites related to production place, which contributed to the region identification of Xinyang Maojian teas.

摘要

信阳毛尖茶是中国中部地区生产的一种著名的烤绿茶。采用超高效液相色谱-四级杆飞行时间质谱(UHPLC-Q-TOF/MS)-基于代谢组学,结合主成分分析(PCA)和层次聚类分析(HCA)等多元统计分析方法,分别对来自罗山、商城和师河的 XMMJTs 进行了研究。此外,还通过 HPLC 测定了 7 种儿茶素、4 种类黄酮、2 种嘌呤生物碱和没食子酸的含量。通过代谢组学分析,选择 p 值 <0.05,差异倍数 >1.50 或 <0.66 的 745 种检测代谢物中的差异代谢物。结果表明,在三个不同地区的三种儿茶素(表没食子儿茶素、表没食子儿茶素没食子酸酯和表儿茶素没食子酸酯)、四种类黄酮(槲皮素、山奈酚、杨梅素和芦丁)和可可碱中存在显著差异(p <0.05),在三个不同地区的三种儿茶素(表没食子儿茶素、表没食子儿茶素没食子酸酯和表儿茶素没食子酸酯)、四种类黄酮(槲皮素、山奈酚、杨梅素和芦丁)和可可碱中存在显著差异(p <0.05),在三个不同地区的三种儿茶素(表没食子儿茶素、表没食子儿茶素没食子酸酯和表儿茶素没食子酸酯)、四种类黄酮(槲皮素、山奈酚、杨梅素和芦丁)和可可碱中存在显著差异(p <0.05)。在三个不同地区的三种儿茶素(表没食子儿茶素、表没食子儿茶素没食子酸酯和表儿茶素没食子酸酯)、四种类黄酮(槲皮素、山奈酚、杨梅素和芦丁)和可可碱中存在显著差异(p <0.05),在三个不同地区的三种儿茶素(表没食子儿茶素、表没食子儿茶素没食子酸酯和表儿茶素没食子酸酯)、四种类黄酮(槲皮素、山奈酚、杨梅素和芦丁)和可可碱中存在显著差异(p <0.05)。舒茶和组培品种之间也存在 (-)-表儿茶素没食子酸酯、(-)-表没食子儿茶素、 (+)-儿茶素、没食子酸和山奈酚的显著差异(p <0.05)。HCA 表明,除了舒茶品种的两个样品(即 LS 2 和 SH 2)聚类在一起外,其他样品可以根据产地完全聚类。通过 PCA 可以实现 63 种相关差异代谢物的区域鉴定。京都基因与基因组百科全书(KEGG)代谢途径分析阐述了地理起源和茶树品种对茶树生理代谢的影响。实用程序:超高效液相色谱-四级杆飞行时间质谱(UHPLC-Q-TOF/MS)-基于液相色谱-串联质谱(LC-MS/MS)代谢组学,结合主成分分析(PCA)和层次聚类分析(HCA)等多元统计分析方法,揭示了 63 种与产地相关的差异代谢物,有助于信阳毛尖茶的产地鉴定。

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