Guo Li, Xie Chenxi, Zhao Feng, Zhang Yue, Lin Zhi
Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China.
Graduate School of Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Foods. 2024 Jun 27;13(13):2043. doi: 10.3390/foods13132043.
Gas chromatography-ion mobility spectrometry (GC-IMS) is a smart method that has been applied to determine the volatile compounds in Chinese teas, but its use in comparing the volatile compounds of different types of tea has not been mentioned. In this study, the volatile compounds found in four types of samples (green, yellow, white, and black teas) made with fresh leaves of (L.) Kuntze 'Zhongcha 111' were analyzed using GC-IMS. The results showed that 93 volatile compounds were identified from our tea samples and that the average volume of aldehydes was higher than that for other compounds, especially in white tea. The different samples were successfully categorized using multivariate statistical analysis. Using partial least squares discriminant analysis (PLS-DA), we found 15 key compounds, including four differential components: (E)-2-hexenal, 2-furanmethanethio, 2-hexanol, and 1-octene. There were 29 common components, and their total content reached 386.0 μg/g. Moreover, the 3-methyl-2-butenal and dimethyl disulfide detected in the four samples were also differential compounds, varying according to the manufacturing technology. Thus, this study demonstrates that different types of teas can be discriminated easily using GC-IMS and that this is helpful to shorten the time for improving tea quality and developing new products.
气相色谱-离子迁移谱(GC-IMS)是一种已应用于测定中国茶叶中挥发性化合物的智能方法,但尚未提及将其用于比较不同类型茶叶的挥发性化合物。在本研究中,使用GC-IMS分析了由茶(L.)Kuntze‘中茶111’鲜叶制成的四种样品(绿茶、黄茶、白茶和红茶)中的挥发性化合物。结果表明,从我们的茶叶样品中鉴定出93种挥发性化合物,醛类的平均含量高于其他化合物,尤其是在白茶中。通过多元统计分析成功地对不同样品进行了分类。使用偏最小二乘判别分析(PLS-DA),我们发现了15种关键化合物,包括四种差异成分:(E)-2-己烯醛、2-呋喃甲硫醇、2-己醇和1-辛烯。有29种共同成分,其总含量达到386.0μg/g。此外,在四个样品中检测到的3-甲基-2-丁烯醛和二甲基二硫也是差异化合物,根据制造工艺而有所不同。因此,本研究表明,使用GC-IMS可以轻松区分不同类型的茶叶,这有助于缩短提高茶叶品质和开发新产品的时间。