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Differentiating Pu‐erh raw tea from different geographical origins by 1 H‐NMR and U‐HPLC/Q‐TOF‐MS combined with chemometrics
Author(s) -
Wu Xia,
Liu Ying,
Guo Jieqing,
Wang Juanxia,
Li Meizhen,
Tan Youzhen,
Zheng Qifan,
Feng Yifan
Publication year - 2021
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/1750-3841.15624
Subject(s) - quinic acid , chemometrics , chemistry , gallic acid , high performance liquid chromatography , mass spectrometry , chromatography , partial least squares regression , nuclear magnetic resonance spectroscopy , chlorogenic acid , organic chemistry , statistics , mathematics , antioxidant
Abstract 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.