食品科学 ›› 2022, Vol. 43 ›› Issue (8): 255-261.doi: 10.7506/spkx1002-6630-20210610-140

• 成分分析 • 上一篇    

高温长时辉干工艺对广东炒青绿茶香气组分的影响

胡蝶,陈维,马成英,方壮东,黄海英,苗爱清   

  1. (1.广东省农业科学院茶叶研究所,广东省茶树资源创新利用重点实验室,广东 广州 510640;2.汕尾市农业科学院,广东 汕尾 516600;3.梅州市农林科学院茶叶研究所,广东 梅州 514000)
  • 发布日期:2022-04-26
  • 基金资助:
    广东省农科院汕尾分院科技合作专项(2019-02);2021年省级涉农资金项目(112000053-2021-0000155683); 广东省农业科学院青年导师制项目(R2020QD-055)

Effect of High-temperature and Long-time Final Roasting on Aroma of Roasted Green Tea

HU Die, CHEN Wei, MA Chengying, FANG Zhuangdong, HUANG Haiying, MIAO Aiqing   

  1. (1. Guangdong Key Laboratory of Tea Plant Resources Innovation and Utilization, Tea Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China; 2. Shanwei Academy of Agricultural Sciences, Shanwei 516600, China;3. Tea Research Institute, Meizhou Academy of Agricultural and Forestry Sciences, Meizhou 514000, China)
  • Published:2022-04-26

摘要: 为探究高温长时辉干工艺对炒青绿茶香气品质的影响,采用顶空固相微萃取结合气相色谱-质谱联用技术,借助香气感官审评及多元统计分析,研究不同辉干参数下所制绿茶样品的香气特征和挥发性有机化合物。结果表明,8 组样品可根据香气特征分为4 类,且此差异与辉干温度及时间参数相关。在所有样品组中,共鉴定出58 种挥发性有机化合物,其中45 种化合物为共有香气组分。基于挥发性有机化合物开展无监督分析,所获聚类结果与感官审评分类情况相似。利用单因素方差分析和偏最小二乘法判别分析,筛选获得对炒青绿茶香气特征变化具有重要影响的32 种香气成分。为进一步了解辉干温度和时间对32 种挥发性有机化合物含量的影响,基于该2 种因素实施了双因素方差分析,发现17 种关键香气成分的含量受到温度因素、时间因素和温度-时间交互因素的显著影响(P<0.05),12 种关键香气成分的含量受到温度因素和时间因素的显著影响(P<0.05),α-荜澄茄油烯和δ-杜松烯含量受到时间因素和温度-时间交互因素的显著影响(P<0.05),α-甜旗烯含量仅受到温度因素的显著影响(P<0.05)。

关键词: 辉干;炒青绿茶;香气;顶空固相微萃取;气相色谱-质谱联用技术

Abstract: To investigate the effect of high-temperature and long-time final roasting on the aroma quality of roasted green tea, tea samples processed with different final roasting temperatures and durations were evaluated by sensory evaluation and characterized by headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry for their sensory aroma and volatile organic compounds (VOCs). The result of sensory evaluation showed that the eight tea samples were classified into four categories according to their characteristic odors, which suggests that final roasting temperature and duration influenced the aroma of roasted green tea. Totally 58 VOCs were identified among all samples, 45 of which were aroma components shared by these samples. The sample distribution patterns generated by unsupervised clustering analysis on the basis of the 58 VOCs were consistent with those based on sensory evaluation. In addition, 32 VOCs were selected as the key contributors to the aroma differences among samples by one-way analysis of variance (ANOVA) and partial least squares-discriminant analysis (PLS-DA). Two-way ANOVA was further applied to investigate the effect of roasting temperature and duration on the contents of the 32 key VOCs. It was found that the contents of 17 key aroma compounds were significantly affected by roasting temperature, duration and the interaction between them (P < 0.05). The contents of 12 key compounds were significantly affected by roasting temperature and duration (P < 0.05). The contents of α-cubebene and δ-cadinene were significantly affected by the interaction between roasting duration and temperature (P < 0.05), while the content of α-calacorene was significantly affected only by roasting temperature (P < 0.05).

Key words: final roasting; roasted green tea; aroma; headspace solid-phase microextraction; gas chromatography-mass spectrometry

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