Exploration of the effects of geographical regions on the volatile and non-volatile metabolites of black tea utilizing multiple intelligent sensory technologies and untargeted metabolomics analysis

被引:6
作者
Wang, Lilei [1 ,2 ]
Xie, Jialing [1 ]
Miao, Yiwen [2 ]
Wang, Qiwei [1 ]
Hu, Jiajing [1 ]
Jiang, Yongwen [1 ]
Wang, Jinjin [1 ]
Tong, Huarong [2 ]
Yuan, Haibo [1 ]
Yang, Yanqin [1 ]
机构
[1] Chinese Acad Agr Sci, Tea Res Inst, Key Lab Biol Genet & Breeding Special Econ Anim &, Minist Agr & Rural Affairs, Hangzhou 310008, Peoples R China
[2] Southwest Univ, Coll Food Sci, Chongqing 400715, Peoples R China
来源
FOOD CHEMISTRY-X | 2024年 / 23卷
关键词
Congou black tea; Geographical region; Intelligent sensory technology; Untargeted metabolomics; Multivariate statistical analysis; AROMA; QUALITY; ORIGIN; NOSE; MS;
D O I
10.1016/j.fochx.2024.101634
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Geographical regions profoundly influence the flavor characteristics of Congou black tea (CBT). In this study, 35 CBT samples from 7 geographical regions were comprehensively characterized by integrated multiple intelligent sensory technologies and untargeted metabolomics analysis. A satisfactory discrimination was achieved through the fusion of multiple intelligent sensory technologies ((RY)-Y-2 = 0.918, Q(2 )= 0.859). A total of 104 non-volatile and 169 volatile metabolites were identified by UHPLC-HRMS and GC-MS, respectively. Of these, 45 critical differential non-volatile metabolites and 76 pivotal differential volatile metabolites were pinpointed based on variable importance in projection >1 and p < 0.05. Moreover, 52 key odorants with OAV >= 1 were identified, with hexanal, phenylacetaldehyde, linalool, beta-cyclocitral, methyl salicylate, geraniol, alpha-ethylidene phenylacetaldehyde, and trans-beta-ionone being recognized as the common odorants across 7 geographical regions. The results provide theoretical support for a comprehensive understanding of the effect of geographical regions on the flavor of black tea.
引用
收藏
页数:11
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共 38 条
[1]   Effect of cooking on aroma profiles of Chinese foxtail millet (Setaria italica) and correlation with sensory quality [J].
Bi, Shuang ;
Wang, Aojidong ;
Wang, Yanping ;
Xu, Xinxing ;
Luo, Dongsheng ;
Shen, Qun ;
Wu, Jihong .
FOOD CHEMISTRY, 2019, 289 :680-692
[2]   Determining the Relationship between Aroma and Quality of Bao-Chung Tea by Solid-Phase Microextraction (SPME) and Electronic Nose Analyses [J].
Chen, Po-An ;
Liu, Chieh-, I ;
Chen, Kuo-Renn .
HORTICULTURAE, 2023, 9 (08)
[3]   Tea aroma formation from six model manufacturing processes [J].
Feng, Zhihui ;
Li, Yifan ;
Li, Ming ;
Wang, Yijun ;
Zhang, Liang ;
Wan, Xiaochun ;
Yang, Xiaogen .
FOOD CHEMISTRY, 2019, 285 :347-354
[4]   Tea authentication and determination of chemical constituents using digital image-based fingerprint signatures and chemometrics [J].
Fernandes, Jessica Silva ;
Fernandes, David Douglas de Sousa ;
Pistonesi, Marcelo Fabian ;
Diniz, Paulo Henrique Goncalves Dias .
FOOD CHEMISTRY, 2023, 421
[5]   Discrimination of geographical indication of Chinese green teas using an electronic nose combined with quantum neural networks: A portable strategy [J].
Fu, Jun ;
Liu, Ruirui ;
Chen, Yufei ;
Xing, Jianguo .
SENSORS AND ACTUATORS B-CHEMICAL, 2023, 375
[6]   Relationship between the Grade and the Characteristic Flavor of PCT (Panyong Congou Black Tea) [J].
Gao, Chenxi ;
Huang, Yan ;
Li, Jing ;
Lyu, Shiheng ;
Wang, Zhihui ;
Xie, Feng ;
Luo, Yuqin ;
Zhang, Fan ;
Chen, Zhidan ;
Sun, Weijiang .
FOODS, 2022, 11 (18)
[7]   Electronic Sensor Technologies in Monitoring Quality of Tea: A Review [J].
Gharibzahedi, Seyed Mohammad Taghi ;
Barba, Francisco J. ;
Zhou, Jianjun ;
Wang, Min ;
Altintas, Zeynep .
BIOSENSORS-BASEL, 2022, 12 (05)
[8]   LC-MS based metabolomics and sensory evaluation reveal the critical compounds of different grades of Huangshan Maofeng green tea [J].
Han, Zisheng ;
Wen, Mingchun ;
Zhang, Haiwei ;
Zhang, Liang ;
Wan, Xiaochun ;
Ho, Chi-Tang .
FOOD CHEMISTRY, 2022, 374
[9]   Comparative volatiles profiling in milk-flavored white tea and traditional white tea Shoumei via HS-SPME-GC-TOFMS and OAV analyses [J].
Hao, Zhilong ;
Feng, Jiao ;
Chen, Qianlian ;
Lin, Hongzheng ;
Zhou, Xiaohong ;
Zhuang, Jiayun ;
Wang, Jinyuan ;
Tan, Yanping ;
Sun, Zhilin ;
Wang, Yanfei ;
Yu, Bugui .
FOOD CHEMISTRY-X, 2023, 18
[10]   Sensomics analysis of the effect of the withering method on the aroma components of Keemun black tea [J].
Huang, Wenjing ;
Fang, Shimao ;
Wang, Jing ;
Zhuo, Chao ;
Luo, Yonghua ;
Yu, Yilei ;
Li, Luqing ;
Wang, Yujie ;
Deng, Wei-Wei ;
Ning, Jingming .
FOOD CHEMISTRY, 2022, 395