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不同原料加工绿茶的体外生物活性与代谢组学

In vitro bioactivity and metabolomics of green tea processed from raw materials of different.

作者信息

Zhang Jixin, Jiang Yanqun, Zhang Yuxuan, Li Tiehan, Zhao Wei, Yu Tianzi, Wu Yida, Lu Mingxia, Ning Jingming, Zhang Zhengzhu

机构信息

National Key Laboratory for Tea Plant Germplasm Innovation and Resource Utilization, Anhui Agricultural University, 130 Changjiang West Road, Hefei, 230036, China.

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

出版信息

Curr Res Food Sci. 2025 May 19;10:101076. doi: 10.1016/j.crfs.2025.101076. eCollection 2025.

Abstract

Tea maturity significantly influences processing quality and classification; however, research in this area remains limited, leading to challenges in classifying and processing mechanically harvested tea leaves. This study systematically examined the effects and applicability of different maturity levels on green tea processing using computer vision, taste evaluation, metabolomics, and microplate reader detection. Results showed that bud green tea (BGT) exhibited the highest yellowness, umami, bitterness, antioxidant activity, and -glucosidase and -amylase inhibitory activities, while tea stems (TS) had the lowest greenness and the strongest astringency. Non-targeted metabolomics identified 30 differential metabolites, revealing that the growth of tea leaves at different maturity levels depends on both specific and common metabolites. Correlation analysis indicated that high levels of -glutamic acid, gallic acid, theogallin, and galloylated catechins (EGCG, ECG) in BGT contributed to its umami and bitterness, whereas the strong astringency of TS was attributed to high levels of non-galloylated catechins (EC, C), 4---coumaroylquinic acid, procyanidin B2, and rutin. Additionally, potential biosynthetic pathways in tea plants and variations in differential metabolite content across samples were further annotated. This study proposed a "raw material maturity-processing suitability" model, providing a scientific basis for the high-quality utilization of mechanically harvested tea leaves.

摘要

茶叶成熟度对加工品质和分类有显著影响;然而,该领域的研究仍然有限,导致机械采摘茶叶的分类和加工面临挑战。本研究使用计算机视觉、味觉评价、代谢组学和酶标仪检测,系统地研究了不同成熟度水平对绿茶加工的影响和适用性。结果表明,芽头绿茶(BGT)的黄度、鲜味、苦味、抗氧化活性以及β-葡萄糖苷酶和α-淀粉酶抑制活性最高,而茶梗(TS)的绿度最低,涩味最强。非靶向代谢组学鉴定出30种差异代谢物,表明不同成熟度水平的茶叶生长依赖于特定和常见的代谢物。相关性分析表明,BGT中高水平的γ-谷氨酸、没食子酸、表没食子儿茶素和没食子酰化儿茶素(EGCG、ECG)促成了其鲜味和苦味,而TS的强烈涩味则归因于高水平的非没食子酰化儿茶素(EC、C)、4-O-香豆酰奎尼酸、原花青素B2和芦丁。此外,还进一步注释了茶树中的潜在生物合成途径以及样品间差异代谢物含量的变化。本研究提出了一个“原料成熟度-加工适用性”模型,为机械采摘茶叶的高质量利用提供了科学依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1f3/12152660/f10da8725376/ga1.jpg

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