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首页> 外文期刊>International journal of food science & technology >Analysis of chemical components in green tea in relation with perceived quality, a case study with Longjing teas
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Analysis of chemical components in green tea in relation with perceived quality, a case study with Longjing teas

机译:绿茶中化学成分与感知质量的关系分析,以龙井茶为例

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摘要

Properties of leaf and infusion colours, chemical components and volatile flavour compounds of Longjing teas and their correlation with perceived quality score given by tea-tasting panel were analysed. The scores for appearance, infused leaves and for the Total Quality Score (TQS) negatively correlated with concentrations of chlorophyll-a (Chl-a), Chl-b and total chlorophyll (r = -0.723 to -0.846, P < 0.01). The perceived taste score positively correlated with the concentration of total free amino acid (r = 0.527, P < 0.05) and theanine (r = 0.511, P < 0.05), whereas the TQS positively correlated with total free amino acid (r = 0.533). The volatile composition and their quantities varied widely among Longjing tea samples. (E)-geraniol, linalool, hexanal, pentanal, heptanal, nonanal and jasmone were prevailing volatile compounds detected in all samples. Principal component analysis (PCA) screened twelve principal components with the first three explaining 18.82%, 15.31% and 11.83% of the total variance respectively. The concentrations of total free amino acids, pentanal and epigallocatechin gallate were with the highest component score coefficients for the first three principal components respectively. Regression analysis upon the twelve principal components formulated a prediction model on the TQS with 77.0% probability.
机译:分析了龙井茶的叶片颜色,浸入颜色,化学成分和挥发性风味成分及其与茶品尝小组给出的感知质量得分的相关性。外观,浸入叶和总质量得分(TQS)的得分与叶绿素a(Chl-a),Chlb和总叶绿素的浓度呈负相关(r = -0.723至-0.846,P <0.01)。感知的味觉评分与总游离氨基酸(r = 0.527,P <0.05)和茶氨酸(r = 0.511,P <0.05)的浓度呈正相关,而TQS与总游离氨基酸的浓度(r = 0.533)呈正相关。 。龙井茶样品中的挥发性成分及其数量差异很大。 (E)-香叶醇,芳樟醇,己醛,戊醛,庚醛,壬醛和茉莉酮是在所有样品中检测到的主要挥发性化合物。主成分分析(PCA)筛选了12个主成分,前三个分别解释了总方差的18.82%,15.31%和11.83%。前三个主要成分的总游离氨基酸,戊酸和表没食子儿茶素没食子酸酯的浓度分别具有最高的成分评分系数。通过对十二个主要成分的回归分析,在TQS上建立了77.0%概率的预测模型。

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  • 作者

    Kunbo Wang; Jianyun Ruan;

  • 作者单位

    Tea Research Institute of Chinese Academy of Agricultural Sciences and the Key Laboratory of Tea Chemical Engineering of the Ministry of Agriculture, Hangzhou, Zhejiang 310008, China Key Laboratory of Tea Science of Ministry of Education and Hunan Province Key Laboratory of Crop Germplasm Innovation and Utilisation, Hunan Agricultural University, Changsha, Hunan 410128, China;

    Tea Research Institute of Chinese Academy of Agricultural Sciences and the Key Laboratory of Tea Chemical Engineering of the Ministry of Agriculture, Hangzhou, Zhejiang 310008, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    aroma; chemical analysis; colour; green tea; longjing tea; perceived quality score; sensory evaluation; taste;

    机译:香气;化学分析;颜色;绿茶;龙井茶;感知质量得分;感官评估;味道;

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