Tracing the origin of Taiping Houkui green tea using 1H NMR and HS-SPME-GC-MS chemical fingerprints, data fusion and chemometrics

被引:27
作者
Jin, Ge [1 ,2 ,3 ]
Zhu, Yuanyuan [1 ,2 ,3 ]
Cui, Chuanjian [1 ,2 ,3 ]
Yang, Chen [1 ,2 ,3 ]
Hu, Shaode [1 ,2 ,3 ]
Cai, Huimei [1 ,2 ,3 ]
Ning, Jingming [1 ,2 ,3 ]
Wei, Chaoling [1 ,2 ,3 ]
Li, Aoxia [4 ]
Hou, Ruyan [1 ,2 ,3 ]
机构
[1] Anhui Agr Univ, State Key Lab Tea Plant Biol & Utilizat, Hefei 230036, Peoples R China
[2] Anhui Agr Univ, Key Lab Tea Biol & Tea Proc, Minist Agr & Rural Affairs, Hefei 230036, Peoples R China
[3] Anhui Agr Univ, Int Joint Res Lab Tea Chem & Hlth Effects, Minist Educ, Hefei 230036, Peoples R China
[4] Anhui Lanxiang Houkui Tea Co Ltd, Huangshan 245703, Anhui, Peoples R China
关键词
Proton Nuclear Magnetic Resonance; Headspace solid-phase microextraction coupled; with gas chromatography-mass spectrometry; Green tea; Common dimension; Geographical traceability; QUALITY; DISCRIMINATION; SPECTROSCOPY; METABOLOMICS; H-1-NMR; L;
D O I
10.1016/j.foodchem.2023.136538
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
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 1H NMR of polar (D2O) and non-polar (CDCl3). 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.
引用
收藏
页数:9
相关论文
共 38 条
[1]  
[Anonymous], 2018, T237762018 GB
[2]   Integrated 1H NMR fingerprint with NIR spectroscopy, sensory properties, and quality parameters in a multi-block data analysis using ComDim to evaluate coffee blends [J].
Baqueta, Michel Rocha ;
Coqueiro, Aline ;
Marco, Paulo Henrique ;
Mandrone, Manuela ;
Poli, Ferruccio ;
Valderrama, Patricia .
FOOD CHEMISTRY, 2021, 355
[3]  
Biancolillo A., 2019, Data Handling in Science and Technology, VVolume 31, P271, DOI DOI 10.1016/B978-0-444-63984-4.00010-7
[4]   High-resolution pure shift NMR spectroscopy offers better metabolite discrimination in food quality analysis [J].
Bo, Yu ;
Feng, Jianghua ;
Xu, JingJing ;
Huang, Yuqing ;
Cai, Honghao ;
Cui, Xiaohong ;
Dong, Jiyang ;
Ding, Shangwu ;
Chen, Zhong .
FOOD RESEARCH INTERNATIONAL, 2019, 125
[5]   Evaluation and Optimization of the Analysis of Fatty Acid Types in Edible Oils by 1H-NMR [J].
Castejon, David ;
Mateos-Aparicio, Inmaculada ;
Dolores Molero, M. ;
Isabel Cambero, M. ;
Herrera, Antonio .
FOOD ANALYTICAL METHODS, 2014, 7 (06) :1285-1297
[6]   Evaluation of Orchid-Like Aroma Between Different Grades of Taiping Houkui Tea by Solid-Phase Microextraction and Comprehensive Two-Dimensional Gas Chromatography Coupled with Time-of-Fight Mass Spectrometry [J].
Chen Qi ;
Guo Tianyang ;
Wu Qiong ;
Yao Jian ;
Liao Renyi ;
Wu Peng ;
Jiang Shaotong ;
Dong Yiyang .
JOURNAL OF AOAC INTERNATIONAL, 2020, 103 (02) :433-438
[7]   1H NMR-based metabolomic approach combined with machine learning algorithm to distinguish the geographic origin of huajiao (Zanthoxylum bungeanum Maxim.) [J].
Cui, Chuanjian ;
Xia, Mingyue ;
Wei, Ziqi ;
Chen, Jianglin ;
Peng, Chuanyi ;
Cai, Huimei ;
Jin, Long ;
Hou, Ruyan .
FOOD CONTROL, 2023, 145
[8]   Identification of geographical origin of Keemun black tea based on its volatile composition coupled with multivariate statistical analyses [J].
Fang, Shimao ;
Ning, Jingming ;
Huang, Wen-Jing ;
Zhang, Gang ;
Deng, Wei-Wei ;
Zhang, Zhengzhu .
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2019, 99 (09) :4344-4352
[9]  
Fang X., 2023, FOOD CHEM
[10]   Effect of baking on the flavor stability of green tea beverages [J].
Fu, Yan-Qing ;
Wang, Jie-Qiong ;
Chen, Jian-Xin ;
Wang, Fang ;
Yin, Jun-Feng ;
Zeng, Liang ;
Shi, John ;
Xu, Yong-Quan .
FOOD CHEMISTRY, 2020, 331