Volatile profile characterization during the drying process of black tea by integrated volatolomics analysis

被引:17
|
作者
Wang, Lilei [1 ,2 ]
Xie, Jialing [1 ]
Deng, Yuliang [1 ]
Jiang, Yongwen [1 ]
Tong, Huarong [2 ]
Yuan, Haibo [1 ]
Yang, Yanqin [1 ]
机构
[1] Chinese Acad Agr Sci, Tea Res Inst, Key Lab Tea Biol & Resources Utilizat, Minist Agr, Hangzhou 310008, Peoples R China
[2] Southwest Univ, Coll Food Sci, Chongqing 400715, Peoples R China
关键词
Drying; Black tea; Volatolomics; Multivariate statistical analysis; ELECTRONIC NOSE; QUALITY; IDENTIFICATION;
D O I
10.1016/j.lwt.2023.115039
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Drying plays an important role in the development of high-quality aroma black tea. In this study, changes in the volatile profiles of Congou black tea samples subjected to different drying times were comprehensively char-acterized via gas chromatography-electronic nose, gas chromatography-mass spectroscopy, and gas chromatography-ion mobility spectroscopy (GC-IMS) analyses. Different drying times generated different aroma types (e.g., floral and sweet aromas, etc.). Forty-five minutes of drying treatment was identified as a critical time point for the formation of tea aroma quality, since at this point additional drying caused a decline in aroma quality. Here we identified a total of 90 volatile organic compounds, mainly alcohols and aldehydes, using GC-IMS. Based on the volatile fingerprints generated by GC-IMS, an authentic orthogonal partial least squares discriminant analysis model with credible parameters ((RY)-Y-2 = 0.921, Q(2) = 0.817) was established. Moreover, using variable importance in projection > 1.35 and p < 0.05 as filtering criteria, six variables including four identified key differential components were screened out. This study provides a new perspective for under-standing the dynamic changes occurring during drying and lays a theoretical foundation for precise and quality -oriented processing of Congou black tea.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Chrysanthemum morifolium Ramat. as a traditional tea material: Unraveling the influence of kill-green process on drying characteristics, phytochemical compounds, and volatile profile
    Xu, Huihuang
    Wu, Min
    Wei, Wenguang
    Ren, Weike
    Zheng, Zhian
    FOOD RESEARCH INTERNATIONAL, 2025, 200
  • [32] Analysis of results of a parabolic concentrator's pipe receiver to heat air for drying process of black tea in Cusco, Peru
    Vergara, Sandra
    Hadzich, Miguel
    PROCEEDINGS OF THE 11TH ISES EUROSUN 2016 CONFERENCE, 2017, : 438 - 446
  • [33] Optimization of the Loose Tea Blooming Process for Guizhou Green Tea and Analysis of Characteristic Volatile Compounds
    散茶发花发酵贵州绿茶的工艺优化及其特征挥发性化合物解析
    Xu, Su (xs8515@126.com), 2025, 46 (01) : 33 - 44
  • [34] An Exergoeconomic Analysis of a Gas-Type Industrial Drying System of Black Tea
    Zeng, Zhiheng
    Li, Bin
    Han, Chongyang
    Wu, Weibin
    Wang, Xiaoming
    Xu, Jian
    Zheng, Zefeng
    Ma, Baoqi
    Hu, Zhibiao
    ENTROPY, 2022, 24 (05)
  • [35] Comparison of volatile compounds of Iranian black teas during process
    Azin, Nasrollah Zadeh
    Parviz, Aberoomand Azar
    Kambiz, Larijani
    Shiva, Roofigari Haghighat
    ASIAN JOURNAL OF CHEMISTRY, 2006, 18 (03) : 2249 - 2260
  • [36] Effects of second-drying process parameters on the hot-air drying characteristics and quality of congou black tea
    Wang J.
    Yuan H.
    Hua J.
    Jiang Y.
    Dong C.
    Deng Y.
    Yang Y.
    Yuan, Haibo (192168092@tricaas.com), 1600, Chinese Society of Agricultural Engineering (36): : 287 - 296
  • [37] Identification of volatile components and analysis of aroma characteristics of Jiangxi Congou black tea
    Yue, Cuinan
    Yang, Puxiang
    Qin, Dandan
    Cai, Hailan
    Wang, Zhihui
    Li, Chen
    Wu, Hualing
    INTERNATIONAL JOURNAL OF FOOD PROPERTIES, 2020, 23 (01) : 2160 - 2173
  • [38] Profiling of dynamic changes in non-volatile metabolites of shaken black tea during the manufacturing process using targeted and non-targeted metabolomics analysis
    Xue, Jinjin
    Liu, Panpan
    Guo, Guiyi
    Wang, Weiwei
    Zhang, Jianyong
    Wang, Wei
    Le, Ting
    Yin, Junfeng
    Ni, Dejiang
    Jiang, Heyuan
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2022, 156
  • [39] Profiling of dynamic changes in non-volatile metabolites of shaken black tea during the manufacturing process using targeted and non-targeted metabolomics analysis
    Xue, Jinjin
    Liu, Panpan
    Guo, Guiyi
    Wang, Weiwei
    Zhang, Jianyong
    Wang, Wei
    Le, Ting
    Yin, Junfeng
    Ni, Dejiang
    Jiang, Heyuan
    LWT, 2022, 156
  • [40] Changes in nutritional constituents, anthocyanins, and volatile compounds during the processing of black rice tea
    Li Wu
    Meijing Zhai
    Yang Yao
    Chuan Dong
    Shaomin Shuang
    Guixing Ren
    Food Science and Biotechnology, 2013, 22 : 917 - 923