Food chemistry · 2025
Multi-scale quality evaluation and geographical origins discrimination of Ankang green tea by intelligent sensory analysis, selenium elemental analysis and quantitative non-volatile sensometabolomics.
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Feng Yuning, Niu Linchi, Zhang Shan, Shan Xujiang, Chen Le, Zhang Yingbin, Dai Weidong, Zhou Qinghua, Jiang Yongwen, Yuan Haibo, Li Jia
Аннотация
To date, no comprehensive study has explored the multi-dimensional quality of Ankang selenium-enriched green tea. Herein, 61 Ankang tea samples from four small-scale geographical origins were analyzed using a novel multi-analytical approach combining intelligent sensory evaluation, selenium quantification, and sensometabolomics. Selenium content differed across regions. 89 non-volatiles were absolutely quantified. Flavan-3-ols were most abundant (493.79-1317.04 mg/L), followed by amino acids (406.18-940.11 mg/L), phenolic acids (364.66-901.33 mg/L), alkaloids (355.44-688.72 mg/L), organic acids (121.08-556.10 mg/L), sugars (105.88-511.91 mg/L), flavone/flavonol and glycosides (0.62-48.48 mg/L). Epigallocatechin gallate (EGCG), theanine, theogallin, caffeine, citric acid, maltose, and kaempferol-3-O-glucosylrutinoside were most predominant within each class. Dose-over-threshold (DOT) based taste contribution analysis showed 10 compounds with DOT>1, highlighting rutin, theogallin, EGCG and caffeine as prominent contributors (DOT = 2036.82, 10.44, 7.28, 5.31, respectively). 43 key differential compounds and distinct DOT in astringency, bitterness and umami was revealed across regions. Moreover, the correlation between differential metabolites, selenium, and taste indexes was explored.