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基于四种叶色类型的27个茶树品种的香气分析与生物标志物筛选

Aroma analysis and biomarker screening of 27 tea cultivars based on four leaf color types.

作者信息

Wang Feiquan, Feng Hua, Zheng Yucheng, Liu Ruihua, Dong Jiahao, Wu Yao, Chen Shuai, Zhang Bo, Wang Pengjie, Yan Jiawei

机构信息

College of Tea and Food Science/Tea Engineering Research Center of Fujian Higher Education, Wuyi University, Wuyishan 354300, China.

College of Tea and Food Science/Tea Engineering Research Center of Fujian Higher Education, Wuyi University, Wuyishan 354300, China; College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China.

出版信息

Food Res Int. 2025 Feb;201:115681. doi: 10.1016/j.foodres.2025.115681. Epub 2025 Jan 6.

DOI:10.1016/j.foodres.2025.115681
PMID:39849798
Abstract

Green is no longer the only color used to describe tea leaves. As tea plants with different leaf colors-white, yellow, and purple-yield significant economic benefits, scholars are growing increasingly curious about whether these differently colored leaves possess unique aromatic characteristics. Headspace solid-phase microextraction (HS-SPME) combined with GC-MS was used to analyze the volatile metabolites of buds and leaves from 7 white-leaf tea plants, 9 yellow-leaf tea plants, 4 purple-leaf tea plants, and 7 normal (green) tea plants. A total of 125 aroma metabolites were identified. The aroma compounds of heterochromatic tea leaves and green-leaf tea were compared separately. It was found that white-leaf tea had the most upregulated compounds (63 up), mainly floral and fruity aromas, including nerol, Z-isogeraniol, and E-3-hexen-1-yl acetate. Purple-leaf tea had the most downregulated compounds (31 down), including β-myrcene, benzyl alcohol, and methyl salicylate, which are related to fresh and fruity aromas. According to variable importance in projection (VIP > 1) and a p-value < 0.05, a total of 40 differential compounds were detected, among which Z-3-hexenol, 1-nonanol, 2,4-di-tert-butylphenol, and 2,6,10,15-tetramethyl-heptadecane were common in all heterochromatic tea. The random forest model constructed using differential metabolites screened out five aroma metabolites, including Z-3-hexenyl isobutyrate, E-3-hexen-1-yl acetate, 2,4-di-tert-butylphenol, Z-jasmone, and Z-isogeraniol. These metabolites demonstrated high accuracy in the model (AUC = 1) and have the potential to serve as characteristic aroma compounds for distinguishing tea leaf colors.

摘要

绿色不再是描述茶叶的唯一颜色。随着具有不同叶色(白色、黄色和紫色)的茶树带来显著的经济效益,学者们越来越好奇这些不同颜色的叶子是否具有独特的香气特征。采用顶空固相微萃取(HS-SPME)结合气相色谱-质谱联用(GC-MS)技术,对7株白叶茶树、9株黄叶茶树、4株紫叶茶树和7株普通(绿色)茶树的芽和叶中的挥发性代谢产物进行了分析。共鉴定出125种香气代谢产物。分别比较了异色茶叶和绿叶茶的香气化合物。结果发现,白叶茶上调的化合物最多(63种上调),主要为花香和果香,包括橙花醇、Z-异香叶醇和E-3-己烯-1-基乙酸酯。紫叶茶下调的化合物最多(31种下调),包括与清新果香相关的β-月桂烯、苯甲醇和水杨酸甲酯。根据变量投影重要性(VIP>1)和p值<0.05,共检测到40种差异化合物,其中Z-3-己烯醇、1-壬醇、2,4-二叔丁基苯酚和2,6,10,15-四甲基十七烷在所有异色茶中都很常见。利用差异代谢产物构建的随机森林模型筛选出5种香气代谢产物,包括异丁酸Z-3-己烯酯、E-3-己烯-1-基乙酸酯、2,4-二叔丁基苯酚、Z-茉莉酮和Z-异香叶醇。这些代谢产物在模型中显示出高准确性(AUC=1),有潜力作为区分茶叶颜色的特征香气化合物。

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