Differentiation of black tea infusions according to origin, processing and botanical varieties using multivariate statistical analysis of LC-MS data

被引:68
|
作者
Shevchuk, Anastasiia [1 ]
Jayasinghe, Lalith [2 ]
Kuhnert, Nikolai [1 ]
机构
[1] Jacobs Univ Bremen, Bremen, Germany
[2] Natl Inst Fundamental Studies, Kandy, Sri Lanka
关键词
Multivariate analysis; Black tea; Polyphenols; Thearubigins; Discrimination; Origin; Fermentation; HPLC-MS; MASS-SPECTROMETRY; GREEN TEA; QUANTITATIVE-ANALYSIS; THEARUBIGIN FORMATION; CAMELLIA-SINENSIS; CLASSIFICATION; IDENTIFICATION; TANDEM; SPECTROSCOPY; CONSUMPTION;
D O I
10.1016/j.foodres.2018.03.059
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
A data. set of sixty samples of diverse black tea were collected and analysed using high-performance liquid chromatography-mass spectrometry (HPLC-MS) methods. Chemical variations of black tea infusions depending on origin, botanical variety, and processing were investigated employing various multivariate statistical techniques including principal component analysis (PCA), hierarchical cluster analysis (HCA), partial least squares discriminant analysis (PLS-DA) and analysis of variance (ANOVA). In particular, PLS-DA allowed identification of a variety of marker compounds responsible for differences among black teas of different origin, plant variety and processing methods used. Among most variable compounds are catechins, derivatives of quercetin, apigenin, quinic acid, and kaempferol. Rutin, epigallocatechin gallate (EGCG), quinic acid and theaflavin (TF) were contributing to most variances. Products of black tea fermentation (theaflavin, theasinensin, and theacitrin derivatives) contributed to PLS-DA associated to the processing of black tea.
引用
收藏
页码:387 / 402
页数:16
相关论文
共 50 条
  • [41] Rapid differentiation of Chinese hop varieties (Humulus lupulus) using volatile fingerprinting by HS-SPME-GC-MS combined with multivariate statistical analysis
    Liu, Zechang
    Wang, Liping
    Liu, Yumei
    JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2018, 98 (10) : 3758 - 3766
  • [42] Aroma Components Analysis and Origin Differentiation of Black Tea Based on ATD-GC-MS and E-Nose
    Huang, Jianfeng
    Yan, Tingyu
    Yang, Jiangfan
    Xu, Hui
    HORTICULTURAE, 2023, 9 (08)
  • [43] Potential of LC-MS phenolic profiling combined with multivariate analysis as an approach for the determination of the geographical origin of north Moroccan virgin olive oils
    Bajoub, Aadil
    Carrasco-Pancorbo, Alegria
    Ajal, El Amine
    Ouazzani, Noureddine
    Fernandez-Gutierrez, Alberto
    FOOD CHEMISTRY, 2015, 166 : 292 - 300
  • [44] Observational Study of Data on Analysis of Thyroglobulin in Autoantibody Positive Samples Using Commercial Immunoassay and LC-MS/MS Method
    Meikle, A. Wayne
    Kushnir, Mark M.
    Rockwood, Alan L.
    ENDOCRINE REVIEWS, 2014, 35 (03)
  • [45] Differential expression analysis of Escherichia coli proteins using a novel software for relative quantitation of LC-MS/MS data
    Johansson, Carolina
    Samskog, Jenny
    Sundstrom, Lars
    Wadensten, Henrik
    Bjorkesten, Lennart
    Flensburg, John
    PROTEOMICS, 2006, 6 (16) : 4475 - 4485
  • [46] Determination of the Phenol and Tocopherol Content in Italian High-Quality Extra-Virgin Olive Oils by Using LC-MS and Multivariate Data Analysis
    Dugo, Laura
    Russo, Marina
    Cacciola, Francesco
    Mandolfino, Filippo
    Salafia, Fabio
    Vilmercati, Alessandra
    Fanali, Chiara
    Casale, Monica
    De Gara, Laura
    Dugo, Paola
    Mondello, Luigi
    Rigano, Francesca
    FOOD ANALYTICAL METHODS, 2020, 13 (05) : 1027 - 1041
  • [47] Determination of the Phenol and Tocopherol Content in Italian High-Quality Extra-Virgin Olive Oils by Using LC-MS and Multivariate Data Analysis
    Laura Dugo
    Marina Russo
    Francesco Cacciola
    Filippo Mandolfino
    Fabio Salafia
    Alessandra Vilmercati
    Chiara Fanali
    Monica Casale
    Laura De Gara
    Paola Dugo
    Luigi Mondello
    Francesca Rigano
    Food Analytical Methods, 2020, 13 : 1027 - 1041
  • [48] Pesticide Multi-Residue Analysis in Tea Using d-SPE Sample Cleanup with Graphene Mixed with Primary Secondary Amine and Graphitized Carbon Black Prior to LC-MS/MS
    Liu, Xue
    Guan, Wenbi
    Hao, Xianghong
    Wu, Xiaoli
    Ma, Yongqiang
    Pan, Canping
    CHROMATOGRAPHIA, 2014, 77 (1-2) : 31 - 37
  • [49] Comparative study on chemical constituents of different medicinal parts of Lonicera japonica Thunb. Based on LC-MS combined with multivariate statistical analysis
    Zhang, Xinrui
    Yu, Xiao
    Sun, Xiaomei
    Meng, Xianbo
    Fan, Jian
    Zhang, Fang
    Zhang, Yongqing
    HELIYON, 2024, 10 (12)
  • [50] Metabonomics and biomarker discovery:: LC-MS metabolic profiling and constant neutral loss scanning combined with multivariate data analysis for mercapturic acid analysis
    Wagner, S
    Scholz, K
    Donegan, M
    Burton, L
    Wingate, J
    Völkel, W
    ANALYTICAL CHEMISTRY, 2006, 78 (04) : 1296 - 1305