Differentiating Pu‐erh raw tea from different geographical origins by 1 H‐NMR and U‐HPLC/Q‐TOF‐MS combined with chemometrics
| Autor: | Ying Liu, Juanxia Wang, Youzhen Tan, Xia Wu, Yifan Feng, Meizhen Li, Jieqing Guo, Qifan Zheng |
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| Rok vydání: | 2021 |
| Předmět: |
0303 health sciences
Chromatography 030309 nutrition & dietetics 04 agricultural and veterinary sciences Quinic acid Mass spectrometry 040401 food science High-performance liquid chromatography Chemometrics 03 medical and health sciences chemistry.chemical_compound 0404 agricultural biotechnology Chlorogenic acid chemistry Partial least squares regression Proton NMR Time-of-flight mass spectrometry Food Science |
| Zdroj: | Journal of Food Science. 86:779-791 |
| ISSN: | 1750-3841 0022-1147 |
| DOI: | 10.1111/1750-3841.15624 |
| Popis: | Pu-erh tea is believed to be a beneficial beverage for health due to its many kinds of pharmacological effects. Nevertheless, detailed information related to differences in metabolites of Pu-erh raw tea from different geographical origins remains scarce. In this study, 43 elements were found in water-soluble components of Pu-erh raw tea by highly sensitive ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (U-HPLC/Q-TOF-MS). The characteristic groups of 29 metabolites from nondestructive proton nuclear magnetic resonance (1 H-NMR) spectroscopy were assigned. The variables contributed largely to the origin classification, mainly including valine, threonine, chlorogenic acid, quinic acid, epiafzelechin, and gallic acid ester, were screened out by sparse partial least squares discriminant analysis (sPLS-DA) method. This study provided a feasible and rapid technique for distinguishing Pu-erh tea from different areas by 1 H-NMR combined with sPLS-DA. |
| Databáze: | OpenAIRE |
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