数字农科院2.0

Increased Oxygen Treatment in the Fermentation Process Improves the Taste and Liquor Color Qualities of Black Tea

文献类型: 外文期刊

作者: Xinfeng Jiang;Xin Lei;Chen Li;Lixian Wang;Xiaoling Wang;Heyuan Jiang

作者机构:

关键词: black tea;fermentation;metabolomics;oxygen treatment;sensory quality

期刊名称: Foods

ISSN: 2304-8158

年卷期: 2025 年 14 卷 15 期

页码:

收录情况: SCIE(2025版)

摘要: Black tea is widely consumed worldwide, and its characteristic taste and color result from fermentation, where polyphenols are enzymatically oxidized to generate major pigments, including theaflavins (TFs), thearubigins (TRs), and theabrownins (TBs). This study investigated the effects of increased oxygen treatment during fermentation on the flavor attributes and chemical properties of Congou black tea. Fresh tea leaves (variety “Fuyun 6”) were subjected to four oxygen treatments: 0 h (CK), 1 h (TY-1h), 2 h (TY-2h), and 3 h (TY-3h), with oxygen supplied at 8.0 L/min. Sensory evaluation revealed that oxygen-treated samples exhibited tighter and deeper-colored leaves, a redder liquor, fuller taste, and a sweeter fragrance compared with CK. Chromatic analysis showed significant increases in redness (a*) and luminance (L*), alongside reduced yellowness (b*), indicating enhanced liquor color. Chemical analyses demonstrated elevated levels of TFs, TRs, and TBs in oxygen treatments, with TRs showing the most pronounced increase. Non-targeted metabolomics identified 2318 non-volatile and 761 volatile metabolites, highlighting upregulated flavonoids, phenolic acids, and lipids, and downregulated catechins and tannins, which collectively contributed to improved taste and aroma. Optimal results were achieved with 2–3 h of oxygen treatment, balancing pigment formation and sensory quality. These findings can provide a scientific basis for optimizing oxygen conditions in black tea fermentation to improve product quality.

分类号:

  • 相关文献

[1]Study of the dynamic changes in the non-volatile chemical constituents of black tea during fermentation processing by a non-targeted metabolomics approach. Tan, Junfeng,Dai, Weidong,Lv, Haipeng,Guo, Li,Zhang, Yue,Zhu, Yin,Peng, Qunhua,Lin, Zhi,Lu, Meiling.

[2]Oxygen-enriched fermentation improves the taste of black tea by reducing the bitter and astringent metabolites. Lin Chen,Fei Liu,Yunfei Yang,Zheng Tu,Jiazheng Lin,Yang Ye,Ping Xu. 2021

[3]Black tea aroma formation during the fermentation period. Qincao Chen,Yin Zhu,Yafang Liu,Yang Liu,Chunwang Dong,Zhi Lin,Jie Teng. 2022

[4]New insights into the effect of fermentation temperature and duration on catechins conversion and formation of tea pigments and theasinensins in black tea. Hua, Jinjie,Wang, Huajie,Yuan, Haibo,Yin, Peng,Wang, Jinjin,Guo, Guiyi,Jiang, Yongwen. 2021

[5]Structural insight into polyphenol oxidation during black tea fermentation. Lin Chen,Huajie Wang,Yang Ye,Yuefei Wang,Ping Xu. 2023

[6]Re-Rolling Treatment in the Fermentation Process Improves the Aroma Quality of Black Tea. Qincao Chen,Penghui Yu,Ziyi Li,Yuhang Wang,Yafang Liu,Yin Zhu,Haihui Fu. 2023

[7]Re-rolling treatment in the fermentation process improves the taste and liquor color qualities of black tea. Qincao Chen,Ying Fu,Wenting Heng,Shuai Yu,Feng Xie,Fang Dong,Zhi Lin,Weidong Dai,Haihui Fu. 2024

[8]Effect of tea green leafhopper (Empoasca onukii Matsuda) sucking on the quality of Oriental Beauty. Zeng, Lin,Liu, Yu-Yi,Wang, Fang,Jin, Shan,Chen, Lian-Shuang,Fu, Yan-Qing,Feng, Zhi-Hui,Yin, Jun-Feng,Sun, Wei-Jiang,Yu, Xiao-Min,Xu, Yong-Quan. 2024

[9]Comparison of Volatile and Nonvolatile Metabolites in Black Tea under Four Second-Drying Methods Using Widely Targeted Metabolomics. Lan T.,Zeng Q.,Chen L.,Tu Z.,Ye Y.,Liu Y.,He W.. 2024

[10]Seasonal variation in non-volatile flavor substances of fresh tea leaves (Camellia sinensis) by integrated lipidomics and metabolomics using UHPLC-Q-Exactive mass spectrometry. Chen, Le,Zhang, Shan,Feng, Yuning,Jiang, Yongwen,Yuan, Haibo,Shan, Xujiang,Zhang, Qianting,Niu, Linchi,Wang, Shengnan,Zhou, Qinghua,Li, Jia. 2024

[11]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

[12]Effect of fermentation temperature on the non-volatile components and in vitro hypoglycemic activity of Jinxuan black tea. Guangneng Li,Jianyong Zhang,Hongchun Cui,Ying Gao,Debao Niu,Junfeng Yin. 2024

[13]Integrated Metabolomics and Transcriptome Revealed the Effect of Fermented Lycium barbarum Residue Promoting Ovis aries Immunity. Yajun Zhang,Yansheng Guo,Yulong Luo,Min Du,Xin Yin,Xiaochun Xu,Guijie Zhang. 2022

[14]Metabolomics analysis of soymilk fermented by Bacillus subtilis BSNK-5 based on UHPLC-Triple-TOF-MS/MS. Yaxin Gao,Danfeng Li,Zhiliang Tian,Lizhen Hou,Jie Gao,Bei Fan,Fengzhong Wang,Shuying Li. 2022

[15]GC/QQQ coupling with metabolomics for selection of predicator of tea fermentation. Yingqing Ye,Jiazheng Lin,Junfeng Yin,Hua Feng He. 2023

[16]Untargeted metabolomics analysis of non-volatile metabolites and dynamic changes of antioxidant capacity in Douchi with edible mushroom by-products. Rong, Pei-Xiu,He, Xiao-Qin,Ayyash, Mutamed,Liu, Yi,Wu, Ding-Tao,Geng, Fang,Li, Hua-Bin,Ng, Siew Bee,Liu, Hong-Yan,Gan, Ren-You. 2024

[17]Effects of gamma-irradiation before and after cooking on bacterial population and sensory quality of Dakgalbi. Yoon, Young Min,Park, Jong-Heum,Lee, Ji-Hye,Park, Jae-Nam,Park, Jin-Kyu,Sung, Nak-Yun,Song, Beom-Seok,Kim, Jae-Hun,Lee, Ju-Woon,Yoon, Young Min,Lee, Ji-Hye,Yook, Hong-Sun,Yoon, Yohan,Gao, Meixu. 2012

[18]Effect of the type of brewing water on the chemical composition, sensory quality and antioxidant capacity of Chinese teas. Xu, Yong-Quan,Zou, Chun,Gao, Ying,Chen, Jian-Xin,Wang, Fang,Chen, Gen-Sheng,Yin, Jun-Feng.

[19]Improving the quality of fermented black tea juice with oolong tea infusion. Xu, Yong-Quan,Chen, Jian-Xin,Yin, Jun-Feng,Du, Qi-Zhen.

[20]Optimization of Process Parameters for Microwave Vacuum Drying of Apple Slices Using Response Surface Method. Han, Qing-Hua,Li, Shu-Jun,Yang, Bing-Nan,Ma, Ji-Wei,Han, Qing-Hua,Yin, Li-Jun.

作者其他论文 更多>>