{"title":"不同原料加工绿茶的体外生物活性和代谢组学研究。","authors":"Jixin Zhang, Yanqun Jiang, Yuxuan Zhang, Tiehan Li, Wei Zhao, Tianzi Yu, Yida Wu, Mingxia Lu, Jingming Ning, Zhengzhu Zhang","doi":"10.1016/j.crfs.2025.101076","DOIUrl":null,"url":null,"abstract":"<p><p>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 <i>α</i>-glucosidase and <i>α</i>-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 <i>L</i>-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-<i>O</i>-<i>p</i>-coumaroylquinic acid, procyanidin B2, and rutin. Additionally, potential biosynthetic pathways in tea plants and variations in differential metabolite content across samples were further annotated. 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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 <i>α</i>-glucosidase and <i>α</i>-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. 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引用次数: 0
摘要
茶叶成熟度显著影响加工品质和分级;然而,在这方面的研究仍然有限,导致在分类和加工机械收获茶叶的挑战。本研究采用计算机视觉、口感评价、代谢组学和微孔板检测等方法,系统考察了不同成熟度对绿茶加工的影响和适用性。结果表明,绿茶芽(BGT)的黄度、鲜味、苦味、抗氧化活性以及α-葡萄糖苷酶和α-淀粉酶抑制活性最高,而茶茎(TS)的绿度最低,涩味最强。非靶向代谢组学鉴定了30种差异代谢物,揭示了不同成熟度水平茶叶的生长既依赖于特定代谢物,也依赖于共同代谢物。相关分析表明,BGT中高水平的l -谷氨酸、没食子酸、茶没食子素和没食子酸儿茶素(EGCG, ECG)是其鲜味和苦味的主要原因,而TS中高水平的非没食子酸儿茶素(EC, C)、4- o -对香豆酰奎宁酸、原花青素B2和芦丁是其强涩味的主要原因。此外,还进一步说明了茶树中潜在的生物合成途径和不同样品中代谢物含量的变化。本研究提出了“原料成熟度-加工适宜性”模型,为机械采收茶叶的优质利用提供科学依据。
In vitro bioactivity and metabolomics of green tea processed from raw materials of different.
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 α-glucosidase and α-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 L-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-O-p-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.
期刊介绍:
Current Research in Food Science is an international peer-reviewed journal dedicated to advancing the breadth of knowledge in the field of food science. It serves as a platform for publishing original research articles and short communications that encompass a wide array of topics, including food chemistry, physics, microbiology, nutrition, nutraceuticals, process and package engineering, materials science, food sustainability, and food security. By covering these diverse areas, the journal aims to provide a comprehensive source of the latest scientific findings and technological advancements that are shaping the future of the food industry. The journal's scope is designed to address the multidisciplinary nature of food science, reflecting its commitment to promoting innovation and ensuring the safety and quality of the food supply.