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中国精品科技期刊2020
潘婉舒,胡先强,张正义,等. 基于HS-SPME-GC-MS和PLS-DA分析不同季节早白尖红茶挥发性风味物质[J]. 食品工业科技,2023,44(1):277−283. doi: 10.13386/j.issn1002-0306.2022020206.
引用本文: 潘婉舒,胡先强,张正义,等. 基于HS-SPME-GC-MS和PLS-DA分析不同季节早白尖红茶挥发性风味物质[J]. 食品工业科技,2023,44(1):277−283. doi: 10.13386/j.issn1002-0306.2022020206.
PAN Wanshu, HU Xianqiang, ZHANG Zhengyi, et al. Identification of Volatile Flavor Compounds of Zaobaijian Black Tea Harvested in Different Seasons Based on HS-SPME-GC-MS and PLS-DA[J]. Science and Technology of Food Industry, 2023, 44(1): 277−283. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022020206.
Citation: PAN Wanshu, HU Xianqiang, ZHANG Zhengyi, et al. Identification of Volatile Flavor Compounds of Zaobaijian Black Tea Harvested in Different Seasons Based on HS-SPME-GC-MS and PLS-DA[J]. Science and Technology of Food Industry, 2023, 44(1): 277−283. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022020206.

基于HS-SPME-GC-MS和PLS-DA分析不同季节早白尖红茶挥发性风味物质

Identification of Volatile Flavor Compounds of Zaobaijian Black Tea Harvested in Different Seasons Based on HS-SPME-GC-MS and PLS-DA

  • 摘要: 采集四川省筠连县春、夏、秋三季共15份早白尖红茶样品,采用顶空固相萃取-气相色谱-质谱技术对红茶样品的香气成分进行测定,运用偏最小二乘-判别分析(partial least square-discriminant analysis,PLS-DA)建立不同季节茶叶判别模型,绘制层次聚类的树状热图确定关键香气成分在不同季节样品中的分布规律。结果表明,春季样品醇类(113.05 μg/g)和酯类物质(34.92 μg/g)含量明显高于夏秋两季样品,而醛类物质(23.85 μg/g)明显低于夏秋两季样品,且所建PLS-DA模型可将春和夏秋两季样品明显区分。进一步分析后的分层聚类的树状热图显示,苯乙醛、橙花醇和香叶醇是春季样品区别于其它两季茶样的特征香气化合物,在此基础上可通过芳樟醇、芳樟醇氧化物Ⅰ和Ⅱ对夏、秋两季样品进行进一步区分。该研究为解析不同季节早白尖红茶香气物质提供基础研究数据,也为进一步探究筠连早白尖红茶关键香气形成机制奠定基础。

     

    Abstract: By using headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS), the volatile flavor compounds were determined for 15 Zaobaijian black tea samples harvested in spring, summer and autumn in Junlian, Sichuan Province. Subsequently, a discriminant model partial least square-discriminant analysis (PLS-DA) was used and a hierarchical cluster analysis of the dendroid heat map was drawn to determine the distribution of key aroma components from different harvest seasons. Results showed that the alcohol content (113.05 μg/g) and esters (34.92 μg/g) in the spring samples were significantly higher than those from the summer and autumn samples, while the aldehydes (23.85 μg/g) were significantly lower than those in the summer and autumn samples. The established PLS-DA model could distinguish between tea samples harvested in spring and those harvested in summer and autumn. Moreover, the heat map cluster analysis showed that hyacinthin, nerol and (Z)-geraniol were the key aroma component that distinguished the spring tea samples from the summer and autumn tea samples. Cis-linalool oxide and trans-linalool oxide (furanoid) were the key aroma components that distinguished the summer tea samples from autumn tea samples. This study provides basic research data for analyzing the aroma components of Zaobaijian black tea from different seasons and lays a foundation for further exploration into the key aroma formation mechanism of Junlian Zaobaijian black tea.

     

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