| Title: | Identification of the age of white tea using proton transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS) coupled with multivariate analysis |
| Author(s): | Wu W; Zhang D; He Y; Cao J; Li X; |
| Address: | "College of Environment and Resources, Fuzhou University, Fuzhou, Fujian, China. Minjiang Teachers College, Fuzhou, Fujian, China. Fujian Business University, Fuzhou, Fujian, China. Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China. Scientific Research and Experiment Center, Fujian Police College, Fuzhou, China. Judicial Expertise Center, Fujian Police College, Fuzhou, China. Fuzhou University Postdoctoral Research Station of Chemical Engineering and Technology, Fuzhou University, Fuzhou, China. Technology Center of Fuzhou Customs, Fuzhou, Fujian, China" |
| Journal Title: | Rapid Commun Mass Spectrom |
| ISSN/ISBN: | 1097-0231 (Electronic) 0951-4198 (Linking) |
| Abstract: | "RATIONALE: In recent years, white tea has become increasingly popular. Some merchants confuse the age of white tea and sell poor-quality products for profit. Therefore, it is necessary to provide technical support for product authentication and valorization in white tea of different marked ages. METHODS: Volatile organic compounds (VOCs) were detected by proton transfer reaction time-of-flight mass spectrometry (PTR-TOF-MS) and identified as volatile fingerprints. PTR-TOF-MS combined with multivariate analysis was found to identify white tea of four different marked ages (1, 3, 5, and 8 years) for authentication. Principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) were used as classification models to identify key volatile metabolites. RESULTS: The OPLS-DA model achieved the best results (96.67%, 96.67%, 96.67%, and 96.67% in the training set and 96.00%, 96.00%, 100%, and 100% in the prediction set for 1-year, 3-year, 5-year, and 8-year tea samples, respectively), showing that PTR-TOF-MS with the OPLS-DA model could successfully be used in the identification of white tea with different marked ages. Out of the 60 identified VOCs, 26 volatile materials were closely correlated with tea age and were used as markers to discriminate white tea of different ages. CONCLUSIONS: PTR-TOF-MS coupled with multivariate analysis could be applied for quality evaluation of tea products of different ages and provided a feasible technical support for product authentication and valorization in white tea of different marked ages" |
| Notes: | "PubMed-not-MEDLINEWu, Weihua Zhang, Dandan He, Ye Cao, Jie Li, Xiaojing eng Fujian Economy Integration Service Platform for Digital Environment and Healthy (2021)/ JAT191378/Scientific Research Foundation for Young and Middle-aged Teachers of Fujian Province/ MKBZ201910/Special Fund of Minjiang Teachers College/ England 2021/10/24 Rapid Commun Mass Spectrom. 2022 Feb 15; 36(3):e9215. doi: 10.1002/rcm.9215" |
