| Title: | "Tracing the origin of Taiping Houkui green tea using (1)H NMR and HS-SPME-GC-MS chemical fingerprints, data fusion and chemometrics" |
| Author(s): | Jin G; Zhu Y; Cui C; Yang C; Hu S; Cai H; Ning J; Wei C; Li A; Hou R; |
| Address: | "State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei 230036, China; Key Laboratory of Tea Biology and Tea Processing of Ministry of Agriculture and Rural Affairs, Anhui Agricultural University, Hefei 230036, China; International Joint Research Laboratory of Tea Chemistry and Health Effects of Ministry of Education, Anhui Agricultural University, Hefei 230036, China. Anhui Lanxiang Houkui Tea Co., Ltd., Huangshan, Anhui 245703, China. State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei 230036, China; Key Laboratory of Tea Biology and Tea Processing of Ministry of Agriculture and Rural Affairs, Anhui Agricultural University, Hefei 230036, China; International Joint Research Laboratory of Tea Chemistry and Health Effects of Ministry of Education, Anhui Agricultural University, Hefei 230036, China. Electronic address: hry@ahau.edu.cn" |
| DOI: | 10.1016/j.foodchem.2023.136538 |
| ISSN/ISBN: | 1873-7072 (Electronic) 0308-8146 (Linking) |
| Abstract: | "The narrow geographical traceability of green tea is both important and challenging. This study aimed to establish multi-technology metabolomic and chemometric approaches to finely discriminate the geographic origins of green teas. Taiping Houkui green tea samples were analyzed by headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry and (1)H NMR of polar (D(2)O) and non-polar (CDCl(3)). Common dimension, low-level and mid-level data fusion approaches were tested to verify if the combination of several analytical sources can improve the classification ability of samples from different origins. In assessments of tea from six origins, the single instrument data test set results in 40.00% to 80.00% accuracy. Data fusion improved single-instrument performance classification with mid-level data fusion to obtain 93.33% accuracy in the test set. These results provide comprehensive metabolomic insights into the origin of TPHK fingerprinting and open up new metabolomic approaches for quality control in the tea industry" |
| Keywords: | *Tea/chemistry Gas Chromatography-Mass Spectrometry/methods Solid Phase Microextraction/methods Chemometrics Proton Magnetic Resonance Spectroscopy *Volatile Organic Compounds/analysis Common dimension Geographical traceability Green tea Headspace solid-p; |
| Notes: | "MedlineJin, Ge Zhu, Yuanyuan Cui, Chuanjian Yang, Chen Hu, Shaode Cai, Huimei Ning, Jingming Wei, Chaoling Li, Aoxia Hou, Ruyan eng England 2023/06/11 Food Chem. 2023 Nov 1; 425:136538. doi: 10.1016/j.foodchem.2023.136538. Epub 2023 Jun 3" |
