UPLC–Q-TOF/MS-based untargeted metabolomics coupled with chemometrics approach for Tieguanyin tea with seasonal and year variations
| Autor: | Ming Dai, Guo Xiaoming, Ou Hu, Xuedong Gong, Peng Zhou, Peng Meng, Haiyan Fu, Ying Wang, Zheng Wang, Liqun Ouyang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Mass spectrometry
01 natural sciences Analytical Chemistry Chemometrics 0404 agricultural biotechnology Tandem Mass Spectrometry Metabolomics Food science Chromatography High Pressure Liquid Aroma Principal Component Analysis Tea biology Chemistry 010401 analytical chemistry Discriminant Analysis food and beverages 04 agricultural and veterinary sciences General Medicine biology.organism_classification 040401 food science Uplc q tof ms 0104 chemical sciences Untargeted metabolomics Metabolite profiling Principal component analysis Metabolome Seasons Food Science |
| Zdroj: | Food Chemistry. 283:73-82 |
| ISSN: | 0308-8146 |
| Popis: | The taste and aroma quality of Tieguanyin tea fluctuate seasonally and yearly. However, the compounds responsible for the seasonal and year variations of metabolic pattern and its sensory quality are far from clear. 60 Tieguanyin tea samples harvested in different years and seasons were analyzed by ultraperformance liquid chromatography–quadrupole time-of-flight mass spectrometry (UPLC–Q-TOF/MS) and chemometrics. Principal component analysis (PCA) explained 33.2% of the total variance, while orthogonal projection to latent structures discriminate analysis (OPLS-DA) can obtain potential metabolites with better discrimination, and with R2X and Q2 of cross-validation as 0.974 and 0.937, respectively. Subsequently, heat map analysis (HCA) visualized relationships between Tieguanyin teas with these significantly different potential metabolites by Mann-Whitney U test (p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect