Suppr超能文献

基于酚类成分、生物碱和氨基酸分析策略结合化学计量学区分茶树茶叶类型。

Analytical strategy coupled to chemometrics to differentiate Camellia sinensis tea types based on phenolic composition, alkaloids, and amino acids.

机构信息

State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, 130 West Changjiang Road, Hefei, 230036, China.

School of Tea and Food Science and Technology, Anhui Agricultural University, 130 West Changjiang Road, Hefei, 230036, China.

出版信息

J Food Sci. 2020 Oct;85(10):3253-3263. doi: 10.1111/1750-3841.15390. Epub 2020 Aug 27.

Abstract

Catechins, amino acids, and alkaloids are primary chemical components of tea and play a crucial role in determining tea quality. Their composition and content largely vary among different types of tea. In this study, a convenient chemical classification method was developed for six Camellia sinensis tea types (white, green, oolong, black, dark, and yellow) based on the quantification of their major components. Twenty-one free amino acids, 6 catechins, 2 alkaloids, and gallic acid in 24 teas were quantified using ultra-high-performance liquid chromatography (UHPLC). The total catechin contents in these tea samples ranged from 10.96 to 95.67 mg/g, while total free amino acid content ranged from 2.63 to 25.89 mg/g. Theanine (Thea) was the most abundant amino acid in all tea varieties. Catechin and amino acid levels in tea were markedly reduced upon fermentation of tea. Furthermore, high-temperature processing (roasting) during tea production induced degradation and epimerization of catechins, yielding epimerized catechins, simple catechins, and gallic acid. Principal component analysis revealed that major ester-catechins (EGCG and ECG), major amino acids (Thea), and major alkaloids (caffeine) are potential factors for distinguishing different types of tea. Linear discriminant analysis showed that 100% of teas were correctly classified in which (+)-catechin, ECG, EGC, gallic acid, GABA, cysteine, lysine, and threonine were the most discriminating compounds. This study shows that quantification of the major tea components combined with chemometric analysis, can serve as a simple, convenient, and reliable approach for classifying tea according to fermentation level. PRACTICAL APPLICATION: Different Camellia sinensis tea types can be produced worldwide but it is still challenging to know which chemical markers can be used to trace their production. in this paper we used a targeted methodology to classify six tea types (white, green, oolong, black, dark, and yellow) based on phenolic composition, alkaloids, and amino acids. The main chemical markers responsible for the discrimination were pinpointed with the use of chemometric tools.

摘要

儿茶素、氨基酸和生物碱是茶叶的主要化学成分,对茶叶品质的形成起着至关重要的作用。它们的组成和含量在不同类型的茶叶中差异很大。本研究建立了一种方便的化学分类方法,用于六种茶树(白茶、绿茶、乌龙茶、黑茶、黄茶和红茶),该方法基于其主要成分的定量分析。采用超高效液相色谱法(UHPLC)对 24 种茶中的 21 种游离氨基酸、6 种儿茶素、2 种生物碱和没食子酸进行了定量分析。这些茶样的总儿茶素含量范围为 10.96-95.67mg/g,总游离氨基酸含量范围为 2.63-25.89mg/g。在所有茶品种中,茶氨酸(Thea)是最丰富的氨基酸。茶叶发酵过程中儿茶素和氨基酸含量显著降低。此外,茶叶生产过程中的高温处理(烘焙)导致儿茶素的降解和差向异构化,生成差向异构化儿茶素、简单儿茶素和没食子酸。主成分分析表明,主要酯型儿茶素(EGCG 和 ECG)、主要氨基酸(Thea)和主要生物碱(咖啡因)是区分不同类型茶叶的潜在因素。线性判别分析表明,100%的茶样被正确分类,其中(+)-儿茶素、ECG、EGC、没食子酸、GABA、半胱氨酸、赖氨酸和苏氨酸是最具判别力的化合物。本研究表明,主要茶叶成分的定量分析结合化学计量学分析,可作为一种简单、方便、可靠的方法,根据发酵水平对茶叶进行分类。实际应用:不同的茶树可以在世界各地生产,但仍然难以知道可以使用哪些化学标记物来追踪它们的生产。在本文中,我们使用一种靶向方法,根据酚类组成、生物碱和氨基酸来分类六种茶(白茶、绿茶、乌龙茶、黑茶、黄茶和红茶)。使用化学计量工具确定了负责区分的主要化学标志物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验