Chemometric classification of Vietnamese green tea (Camellia sinensis) varieties and origins using elemental profiling and FTIR spectroscopy

被引:0
|
作者
Minh, Truong Ngoc [1 ]
Thinh, Pham Van [2 ]
Anh, Hoang Le Tuan [1 ]
Anh, Le Viet [1 ]
Khanh, Nguyen Hoang [1 ]
Nhan, Le Van [1 ]
Trung, Nguyen Quang [3 ]
Dat, Nguyen Tien [1 ]
机构
[1] Vietnam Acad Sci & Technol, Ctr High Technol Res & Dev, 18 Hoang Quoc Viet St, Hanoi 100000, Vietnam
[2] Ho Chi Minh City Univ Ind & Trade, Fac Food Sci & Technol, Ho Chi Minh 70000, Vietnam
[3] Inst Environm Sci & Publ Hlth, 18 Hoang Quoc Viet St, Hanoi 100000, Vietnam
关键词
Camellia sinensis; classification; FT-IR; ICP-MS; principal component analysis; AUTHENTICATION; DISCRIMINATION; QUALITY; TRENDS; PLANT;
D O I
10.1111/ijfs.17538
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The objective of this study was to employ multi-elemental analysis and chemometric multivariate data analysis for identifying the geographical origin of Camellia sinensis cultivated in Vietnam's northeastern region. Ninety-two tea leaf samples encompassing four distinct varieties were sourced from Bac Can and Thai Nguyen provinces. These samples underwent analysis through Fourier transform infrared (FTIR) spectroscopy and chemometrics, while elemental quantification was achieved via inductively coupled plasma mass spectrometry (ICP-MS), utilising mixed standards for 26 elements. The FTIR spectra exhibited characteristic peaks, denoting the functional groups of the potential compounds present. ICP/MS analysis identified the presence of 14 elements in the tea samples, revealing significant variations in content across the four varieties. principal component analysis (PCA) of the FTIR data illustrated that the initial two principal components accounted for 91.26% of the total variance, effectively segregating the four green tea varieties into distinct clusters. Conversely, PCA of the ICP-MS spectra also distinguished the four varieties, albeit Trung Du and Hybrid F1 exhibited a proximate distribution. This closeness may be incidental and not indicative of correlation, considering the limited variable set. Our findings ascertain that ICP/MS and FTIR, augmented by chemometric software, serve as efficacious tools for ascertaining the geographical origins of tea.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Metabolite profiling using 1H NMR spectroscopy for quality assessment of green tea, Camellia sinensis (L.)
    Le Gall, G
    Colquhoun, IJ
    Defernez, M
    [J]. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2004, 52 (04) : 692 - 700
  • [2] Biosynthesis of Silver Nanoparticles by Using Green Tea ( Camellia sinensis ) Extracts
    Salih, Hawazen H.
    [J]. BAGHDAD SCIENCE JOURNAL, 2024, 21 (05) : 1470 - 1482
  • [3] Physicochemical analysis of Ugandan tea (Camellia sinensis) germplasm reveals potential commercial green and black tea varieties
    Nalugo, Racheal Grace
    Kaweesi, Tadeo
    Kawooya, Ronald
    Nuwamanya, Ephraim
    Mugisa, Charles
    Namutebi, Vivian
    Tumwine, Venansio
    Turyahebwa, Vereriano
    Tumuhimbise, Robooni
    [J]. JOURNAL OF CROP IMPROVEMENT, 2023, 37 (03) : 341 - 360
  • [4] Nondestructive Identification of Tea (Camellia sinensis L.) Varieties using FT-NIR Spectroscopy and Pattern Recognition
    Chen, Quansheng
    Zhao, Jiewen
    Liu, Muhua
    Cai, Jianrong
    [J]. CZECH JOURNAL OF FOOD SCIENCES, 2008, 26 (05) : 360 - 367
  • [5] Chemometric Models for the Quantitative Descriptive Sensory Properties of Green Tea (Camellia sinensis L.) Using Fourier Transform Near Infrared (FT-NIR) Spectroscopy
    Hui Jiang
    Quansheng Chen
    [J]. Food Analytical Methods, 2015, 8 : 954 - 962
  • [6] Chemometric Models for the Quantitative Descriptive Sensory Properties of Green Tea (Camellia sinensis L.) Using Fourier Transform Near Infrared (FT-NIR) Spectroscopy
    Jiang, Hui
    Chen, Quansheng
    [J]. FOOD ANALYTICAL METHODS, 2015, 8 (04) : 954 - 962
  • [7] Classification of the green tea varieties based on Support Vector Machines using Terahertz Spectroscopy
    Chen Xi-Ai
    Zhang Guang-Xin
    Huang Ping-Jie
    Hou Di-Bo
    Kang Xu-Sheng
    Zhou Ze-Kui
    [J]. 2011 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2011, : 905 - 909
  • [8] NMR Metabolic profiling of green tea (Camellia sinensis L.) leaves grown at Kemuning, Indonesia
    Wahyuni, D. S. C.
    Kristanti, M. W.
    Putri, R. K.
    Rinanto, Y.
    [J]. INTERNATIONAL CONFERENCE ON SCIENCE AND APPLIED SCIENCE (ENGINEERING AND EDUCATIONAL SCIENCE) 2016, 2017, 795
  • [9] Chemometric methods for classification of clonal varieties of green coffee using Raman spectroscopy and direct sample analysis
    Luna, Aderval S.
    da Silva, Arnaldo P.
    da Silva, Camila S.
    Lima, Igor C. A.
    de Gois, Jefferson S.
    [J]. JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2019, 76 : 44 - 50
  • [10] Classification and Origins of Cultivated Tea [Camellia sinensis (L.) O. Kuntze] Based on SNP Analysis
    Borthakur, Devajit
    Tan, Hua-Wei
    Meinhardt, Lyndel
    Wang, Boyi
    Zhou, Lin
    Fang, Wanping
    Zhang, Dapeng
    [J]. HORTSCIENCE, 2018, 53 (09) : S60 - S61