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茶叶科学 ›› 2020, Vol. 40 ›› Issue (2): 259-268.doi: 10.13305/j.cnki.jts.2020.02.012

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基于色差系统的工夫红茶茶汤亮度的量化评价方法研究

王家勤1,2, 姚月凤1,2, 袁海波1*, 江用文1, 李佳1*   

  1. 1. 中国农业科学院茶叶研究所 浙江省茶叶加工工程重点实验室,浙江 杭州 310008;
    2. 中国农业科学院研究生院,北京 100081
  • 收稿日期:2019-10-14 修回日期:2019-11-21 出版日期:2020-04-15 发布日期:2020-04-20
  • 通讯作者: *192168092@tricaas.com,jiali1986@tricaas.com
  • 作者简介:王家勤,女,硕士研究生,主要从事茶叶品质化学与调控方的面研究。
  • 基金资助:
    中国农业科学院茶叶研究所基本科研业务费专项(1610212018012)、中国农业科学院科技创新工程项目(CAAS-ASTIP-TRICAAS)、国家茶叶产业技术体系红茶加工岗位项目(CARS-23)

A Quantitative Method for Brightness Evaluation of Congou Black Tea Infusions Based on Color Difference Analysis

WANG Jiaqin1,2, YAO Yuefeng1,2, YUAN Haibo1*, JIANG Yongwen1, LI Jia1*   

  1. 1. Tea Research Institute, Chinese Academy of Agricultural Sciences, Key Laboratory of Tea Processing Engineering of Zhejiang Province, Hangzhou 310008, China;
    2. Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2019-10-14 Revised:2019-11-21 Online:2020-04-15 Published:2020-04-20

摘要: 茶汤亮度是反映工夫红茶品质优劣的重要因素之一。目前茶汤亮度评价依赖于专家感官审评,缺少量化的评价手段。以感官审评的茶汤亮度为依据,对43个不同亮度茶汤开展色差分析,并结合多变量分析和线性回归拟合,建立茶汤亮度预测方程。结果表明,基于茶汤色差轮廓,结合主成分分析(PCA)、偏最小二乘判别分析(PLS-DA),可有效区分亮、暗茶汤。基于线性回归拟合,筛选出关键变量为L99(明度)、C*(彩度),建立的茶汤亮度预测方程为Lpre=-46.028+0.519×L99+0.117×C*,预测值和感官审评所得值之间的Pearson相关系数为0.92(P<0.01)。此外,验证集结果进一步证实了该预测方程用于红茶茶汤亮度评价的有效性。综上,本研究通过茶汤色差系统分析并结合多元统计,建立了一种快速、有效的工夫红茶茶汤亮度的量化评价方法,对红茶品质的客观智能评价及后续高亮红茶的定向化加工研究具有重要意义。

关键词: 工夫红茶, 茶汤亮度, 色差分析, 多变量分析

Abstract: The brightness of tea infusion is one of the important factors reflecting the quality of black tea. At present, the evaluation of the brightness of tea infusion is dependent on the human sensory evaluation, which lacks a quantitative assessment. In this study, based on the brightness of the infusions obtained by the sensory evaluation, 43 congou black tea infusions with different brightness were measured using color difference analysis in combination with multivariate analysis and linear regression, and an equation for brightness prediction was established. The results show that bright and dark black tea infusions could be discriminated based on their color difference profiles in combination with principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). Based on linear regression, the key variables L99 (lightness) and C* (chroma) were selected and the established prediction equation was Lpre=-46.028+0.519×L99+0.117×C*. It was revealed that, the predicted brightness showed high correlation with that obtained by human sensory evaluation with the Pearson correlation of 0.92 (P<0.01). Besides, the effectiveness of established prediction equation for quantitative evaluation of tea infusion brightness had been further proved using validation set. In summary, in this study, a rapid and effective method based on color difference analysis and multi statistical approaches was developed which enabled quantitative evaluation of the brightness of black tea infusions. This study could provide new insights into the intelligent evaluation of black tea quality, as well as oriented manufacture of highly-bright black tea.

Key words: Congou black tea, tea infusion brightness, color difference analysis, multivariate analysis

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