Evaluation and classification for physicohemical quality of vine tea on entropy method and grey relation analysis
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(1. Key Laboratory of Hunan Forest Products and Chemical Industry Engineering, Jishou University, Zhangjiajie, Hunan 427000, China; 2. Institute of Tea Science, Jishou University, Jishou, Hunan 416000, China)

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    Abstract:

    Taking 10 kinds of vine tea samples collected as objects, 15 related physicohemical quality indexes of vine tea were measured. Four core indexes of tea infusioninflavonoids(A11), polyphenols(A12), soluble sugar(A13), and brightness(A5) were determined by variation analysis, correlation analysis, and principal component analysis. After that, the index weight was determined by the entropy method, and the grey correlation analysis was used to construct the evaluation model of the physicohemical quality: φimodelscore=ξA11×0.181 1+ξA12×0.224 2+ξA13×0.415 4+ξA3×0.179 3, and the fitting degree between the model score and the sensory score is 0.822. Finally, according to the score of the model, the vine tea samples were divided into three levels by cluster analysis.

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张敏,余佶,王琪琰,等.基于熵权法和灰色关联分析的藤茶理化品质评价与分级应用[J].食品与机械英文版,2021,37(1):186-192.

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History
  • Received:October 07,2020
  • Revised:
  • Adopted:
  • Online: February 15,2023
  • Published: January 28,2021
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