Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Analysis of chemical components in oolong tea in relation to perceived quality

作者:Kunbo Wang, Fang Liu, Zhonghua Liu, Jianan Huang, XU Zhong-xi, Yinhua Li, Jinhua Chen, Yushun Gong, Xinghe Yang · 发表于:International Journal of Food Science & Technology · 年份:2010 · DOI:10.1111/j.1365-2621.2010.02224.x · 被引用次数:56 · 研究领域:Tea Polyphenols and Effects、Phytochemicals and Antioxidant Activities、Food Quality and Safety Studies

Summary Properties of leaf and infusion colours, chemical components and volatile flavour compounds of oolong teas and their correlation with perceived quality score given by tea‐tasting panel were analysed. The scores for appearance and infused leaf correlated strongly with concentrations of chlorophyll a (chl a ), chlorophyll (chl b ) and chlorophyll (chl) ( r = 0.355–0.433, P < 0.05) and the total quality score (TQS) positively correlated with concentrations of chl a , chl b and chl ( r = 0.517–0.533, P < 0.01). The perceived taste score and TQS positively correlated with the concentration of total free amino acid ( r = 0.514, 0.694, P < 0.01) and theanine ( r = 0.500, 0.684, P < 0.01). The volatile composition and their quantities varied widely among oolong tea samples. Nerolidol, indole, benzeneacetaldehyde, linalool, linalool oxide I, hexanal, benzyl nitrile, geraniol and 1‐penten‐3‐ol were prevailing volatile compounds detected in most of oolong tea samples. Principal component analysis screened ten principal components with the first three (glutamic acid, total catechins and benzeneacetaldehyde) explaining 27.86%, 20.00% and 14.46% of the total variance, respectively. Regression analysis upon the ten principal components formulated a prediction model on the total quality score with 78.5% probability. The result showed that oolong teas could be partially classified by cluster analysis based on principal components.