Zhang Dandan, Wu Weihua, Qiu Xiaohong, Li Xiaojing, Zhao Feng, Ye Naixing
College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, China.
Fujian Business University, Fuzhou, Fujian, 350016, China.
Rapid Commun Mass Spectrom. 2020 Oct 30;34(20):e8830. doi: 10.1002/rcm.8830.
White tea has become very popular in recent years, but there has been no scientific identification of white tea from different origins. For product authentication and valorization, every kind of white tea must be marked with an indication of its origin.
Volatile profiles of white tea leaf samples from their main origins in China (Fuding City, Zhenghe City and Jianyang City) were analyzed using proton transfer reaction time-of-flight mass spectrometry (PTR-TOFMS). Tentative identifications of the volatile organic compounds (VOCs) were obtained by PTR-TOFMS of the headspace. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were performed to evaluate the differences among the various origins.
Teas from different origins were shown to have characteristic VOCs and profiles. Thus, white teas from different origins could be separated by characterizing the volatile emissions from the dry tea leaves. The ability of the two classification models to use the volatile fingerprints in origin discrimination was investigated.
Two classification models (PCA and OPLS-DA) were applied to the PTR-TOFMS data obtained from the VOCs of various white teas. The classification models were shown to be useful in identifying the origin of white tea samples, providing a reference for white tea identification.
白茶近年来变得非常受欢迎,但尚未对来自不同产地的白茶进行科学鉴定。为了进行产品认证和增值,每种白茶都必须标明其产地。
使用质子转移反应飞行时间质谱法(PTR-TOFMS)分析了来自中国主要产地(福鼎市、政和县和建阳市)的白茶叶样品的挥发性成分。通过顶空的PTR-TOFMS对挥发性有机化合物(VOCs)进行初步鉴定。进行主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA)以评估不同产地之间的差异。
来自不同产地的茶叶显示出具有特征性的VOCs和图谱。因此,通过表征干茶叶的挥发性排放物,可以区分来自不同产地的白茶。研究了两种分类模型利用挥发性指纹图谱进行产地鉴别的能力。
将两种分类模型(PCA和OPLS-DA)应用于从各种白茶的VOCs获得的PTR-TOFMS数据。结果表明,这些分类模型可用于识别白茶样品的产地,为白茶鉴定提供参考。