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

被引:71
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 45 条
[41]   Lipidomic differentiation between human kidney tumors and surrounding normal tissues using HILIC-HPLC/ESI-MS and multivariate data analysis [J].
Cifkova, Eva ;
Holcapek, Michal ;
Lisa, Miroslav ;
Vrana, David ;
Melichar, Bohuslav ;
Student, Vladimir .
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2015, 1000 :14-21
[42]   Characterization of α-Glucosidase Inhibitors from Psychotria malayana Jack Leaves Extract Using LC-MS-Based Multivariate Data Analysis and In-Silico Molecular Docking [J].
Nipun, Tanzina Sharmin ;
Khatib, Alfi ;
Ibrahim, Zalikha ;
Ahmed, Qamar Uddin ;
Redzwan, Irna Elina ;
Saiman, Mohd Zuwairi ;
Supandi, Farahaniza ;
Primaharinastiti, Riesta ;
El-Seedi, Hesham R. .
MOLECULES, 2020, 25 (24)
[43]   Differentiation of wines according to grape variety using multivariate analysis of comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometric detection data [J].
Welke, Juliane Elisa ;
Manfroi, Vitor ;
Zanus, Mauro ;
Lazzarotto, Marcelo ;
Zini, Claudia Alcaraz .
FOOD CHEMISTRY, 2013, 141 (04) :3897-3905
[44]   Phytochemical Screening, Antioxidant, and Enzyme Inhibitory Properties of Three Prangos Species (P. heyniae, P. meliocarpoides var. meliocarpoides, and P. uechtritzii) Depicted by Comprehensive LC-MS and Multivariate Data Analysis [J].
Dall'Acqua, Stefano ;
Sut, Stefania ;
Zengin, Gokhan ;
Peron, Gregorio ;
Elbasan, Fevzi ;
Yildiztugay, Evren ;
Sadeer, Nabeelah Bibi ;
Mahomoodally, Mohamad Fawzi .
ANTIOXIDANTS, 2022, 11 (09)
[45]   Comparison of characteristic components in tea-leaves fermented by Aspergillus pallidofulvus PT-3, Aspergillus sesamicola PT-4 and Penicillium manginii PT-5 using LC-MS metabolomics and HPLC analysis [J].
Ma, Cunqiang ;
Li, Xiaohong ;
Zheng, Chengqin ;
Zhou, Binxing ;
Xu, Chengcheng ;
Xia, Tao .
FOOD CHEMISTRY, 2021, 350