数字农科院2.0

Multi-scale quality evaluation and geographical origins discrimination of Ankang green tea by intelligent sensory analysis, selenium elemental analysis and quantitative non-volatile sensometabolomics

文献类型: 外文期刊

作者: Feng, Yuning;Niu, Linchi;Zhang, Shan;Shan, Xujiang;Chen, Le;Zhang, Yingbin;Dai, Weidong;Zhou, Qinghua;Jiang, Yongwen;Yuan, Haibo;Li, Jia

作者机构:

关键词: Ankang green tea;Selenium;Quantitative metabolomics;Taste;Electronic tongue;Geographical origins

期刊名称: FOOD CHEMISTRY

ISSN: 0308-8146

年卷期: 2025 年 498 卷

页码:

收录情况: SCIE(2025版) ; ; EI(2025版)

摘要: To date, no comprehensive study has explored the multi-dimensional quality of Ankang selenium-enriched green tea. Herein, 61 Ankang tea samples from four small-scale geographical origins were analyzed using a novel multi-analytical approach combining intelligent sensory evaluation, selenium quantification, and sensometabolomics. Selenium content differed across regions. 89 non-volatiles were absolutely quantified. Flavan-3-ols were most abundant (493.79-1317.04 mg/L), followed by amino acids (406.18-940.11 mg/L), phenolic acids (364.66-901.33 mg/L), alkaloids (355.44-688.72 mg/L), organic acids (121.08-556.10 mg/L), sugars (105.88-511.91 mg/L), flavone/flavonol and glycosides (0.62-48.48 mg/L). Epigallocatechin gallate (EGCG), theanine, theogallin, caffeine, citric acid, maltose, and kaempferol-3-O-glucosylrutinoside were most predominant within each class. Dose-over-threshold (DOT) based taste contribution analysis showed 10 compounds with DOT>1, highlighting rutin, theogallin, EGCG and caffeine as prominent contributors (DOT = 2036.82, 10.44, 7.28, 5.31, respectively). 43 key differential compounds and distinct DOT in astringency, bitterness and umami was revealed across regions. Moreover, the correlation between differential metabolites, selenium, and taste indexes was explored.

分类号:

  • 相关文献

[1]Analyzing the influence of withering degree on the dynamic changes in non-volatile metabolites and sensory quality of Longjing green tea by non-targeted metabolomics. Xujiang Shan,Qinyan Yu,Le Chen,Shan Zhang,Jiayi Zhu,Yongwen Jiang,Haibo Yuan,Qinghua Zhou,Ji Li,Yujie Wang,Yuliang Deng,Jia Li. 2023

[2]The Integration of Metabolomics, Electronic Tongue, and Chromatic Difference Reveals the Correlations between the Critical Compounds and Flavor Characteristics of Two Grades of High-Quality Dianhong Congou Black Tea. Shan Zhang,Xujiang Shan,Linchi Niu,Le Chen,Jinjin Wang,Qinghua Zhou,Haibo Yuan,Jia Li,Tian Wu. 2023

[3]Effect of geographical origins and pile-fermentation on the multi-element profiles of ripen Pu-erh tea revealed by comprehensive elemental fingerprinting. Jiayi Zhu,Le Chen,Yue Chen,Yuting Rong,Yongwen Jiang,Fuqiao Liu,Qinghua Zhou,Xuehong Wei,Haibo Yuan,Junjie Zhang,Jia Li. 2023

[4]A New and Effective Method to Trace Tibetan Chicken by Amino Acid Profiling. Mengjie Qie,Yalan Li,Xiangyu Hu,Cidan Zhaxi,Shanshan Zhao,Zixuan Zhang,Xiaoting Yang,Lu Bai,Yan Zhao. 2023

[5]Analysis of differences in the accumulation of tea compounds under various processing techniques, geographical origins, and harvesting seasons. Fu, Zhouping,Chen, Liyan,Zhou, Sujuan,Hong, Yiwei,Zhang, Xiangchun,Chen, Hongping. 2024

[6]Comprehensive comparison of aroma profiles and chiral free and glycosidically bound volatiles in Fujian and Yunnan white teas. Han Yan,Wei Xuan Li,Ying Lin Zhu,Zhi Yuan Lin,Dan Chen,Yue Zhang,Hai Peng Lv,Wei Dong Dai,De Jiang Ni,Zhi Lin,Yin Zhu. 2024

[7]Evaluation of monosodium glutamate, disodium inosinate and guanylate umami taste by an electronic tongue. Yang, Yang,Chen, Qinqin,Shen, Cheng,Zhang, Shuming,Gan, Zhilin,Hu, Rui,Zhao, Jinhong,Ni, Yuanying,Yang, Yang,Gan, Zhilin,Hu, Rui,Zhao, Jinhong,Ni, Yuanying,Chen, Qinqin,Zhang, Shuming.

[8]Classification of Rice by Combining Electronic Tongue and Nose. Lu, Lin,Deng, Shaoping,Tian, Shiyi,Lu, Lin,Zhu, Zhiwei.

[9]Application of intelligent sensory technology in the authentication of alcoholic beverages. Wang, Aili,Zhu, Yeyuan,Qiu, Ju,Cao, Ruge,Zhu, Hong. 2022

[10]Combination of machine learning and intelligent sensors in real-time quality control of alcoholic beverages. Aili Wang,Yeyuan Zhu,Liang Zou,Hong Zhu,Ruge Cao,Gang Zhao. 2022

[11]Comparison of sensory qualities in eggs from three breeds based on electronic sensory evaluations. Xiaoguang Dong,Libing Gao,Haijun Zhang,Jing Wang,Kai Qiu,Guanghai Qi,Shugeng Wu. 2021

[12]Comparative characterization of flavor precursors and volatiles of Taihe black-boned silky fowl and Hy-line Brown yolks using multiomics and GC-O-MS-based volatilomics. Weifang Yang,Youyou Yang,Liang Wang,Xueze Lv,Jing Li,Huanxian Cui,Chaohua Tang,Qingyu Zhao,Yaxiong Jia,Yuchang Qin,Junmin Zhang. 2023

[13]Quantitative approach of multidimensional interactive sensing for rice quality using electronic tongue sensor array based on information entropy. Lin Lu,Zhanqiang Hu,Xianqiao Hu,Jianzhong Han,Zhiwei Zhu,Shiyi Tian,Zhongxiu Chen. 2021

[14]Flavor characteristics of peanut butter pretreated by radio frequency heating, explosion puffing, microwave, and oven heating. Yini Yang,Binhong Yuan,Pei Yu,Yimin Jia,Qi Zhou,Jinyuan Sun. 2022

[15]Integration of intelligent sensory evaluation, metabolomics, quantification, and enzyme activity analysis to elucidate the influence of first-drying methods on the flavor formation of congou black tea and its underlying mechanism. Shan Zhang,Qinyan Yu,Linchi Niu,Haibo Yuan,Xujiang Shan,Jinjie Hua,Le Chen,Qianting Zhang,Yuning Feng,Xiaolan Yu,Qinghua Zhou,Yongwen Jiang,Jia Li. 2025

[16]Effect of Ca2+ concentration on the tastes from the main chemicals in green tea infusions. Yin, Jun-Feng,Du, Qi-Zhen,Xu, Yong-Quan,Yin, Jun-Feng,Zhang, Ying-Na,Chen, Jian-Xin,Yuan, Hai-Bo,Xu, Yong-Quan. 2014

[17]Effects of nitrogen application on flavor compounds of cherry tomato fruits. Wang, Yu-Tao,Huang, Shao-Wen,Liu, Rong-Le,Jin, Ji-Yun. 2007

[18]Cloning and haplotype analysis of TaSTE, which is associated with plant height in bread wheat (Triticum aestivum L.). Zhang, Wenping,Zhang, Lei,Qiao, Linyi,Lv, Wenyan,Wu, Jing,Zhao, Guangyao,Jing, Ruilian,Jia, Jizeng.

[19]Analysis of chemical components in green tea in relation with perceived quality, a case study with Longjing teas. Wang, Kunbo,Ruan, Jianyun,Wang, Kunbo,Ruan, Jianyun,Wang, Kunbo,Wang, Kunbo.

[20]Effect of a Dairy Cow’s Feeding System on the Flavor of Raw Milk: Indoor Feeding or Grazing. Xuelu Chi,Ning Yuan,Yangdong Zhang,Nan Zheng,Huimin Liu. 2023

作者其他论文 更多>>