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Effect of Yellowing Duration on the Chemical Profile of Yellow Tea and the Associations with Sensory Traits
Authors:Fang-Yuan Fan  Sen-Jie Zhou  Hong Qian  Bang-Zheng Zong  Chuang-Sheng Huang  Ruo-Lan Zhu  Hao-Wei Guo  Shu-Ying Gong
Institution:1.Tea Research Institute, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China; (F.-Y.F.); (S.-J.Z.); (B.-Z.Z.); (C.-S.H.); (R.-L.Z.); (H.-W.G.);2.Deqing Agricultural Technology Extension Center, 883 Zhongxingbei Road, Huzhou 313200, China;
Abstract:The yellowing process is the crucial step to form the characteristic sensory and chemical properties of yellow tea. To investigate the chemical changes and the associations with sensory traits during yellowing, yellow teas with different yellowing times (0–13 h) were prepared for sensory evaluation and chemical analysis. The intensities of umami and green-tea aroma were reduced whereas sweet taste, mellow taste and sweet aroma were increased under long-term yellowing treatment. A total of 230 chemical constituents were determined, among which 25 non-volatiles and 42 volatiles were the key chemical contributors to sensory traits based on orthogonal partial least squares discrimination analysis (OPLS-DA), multiple factor analysis (MFA) and multidimensional alignment (MDA) analysis. The decrease in catechins, flavonol glycosides and caffeine and the increase in certain amino acids contributed to the elevated sweet taste and mellow taste. The sweet, woody and herbal odorants and the fermented and fatty odorants were the key contributors to the characteristic sensory feature of yellow tea with sweet aroma and over-oxidation aroma, including 7 ketones, 5 alcohols, 1 aldehyde, 5 acids, 4 esters, 5 hydrocarbons, 1 phenolic compound and 1 sulfocompound. This study reveals the sensory trait-related chemical changes in the yellowing process of tea, which provides a theoretical basis for the optimization of the yellowing process and quality control of yellow tea.
Keywords:yellow tea  yellowing  sensory traits  volatiles  non-volatiles  multiple factor analysis
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