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http://dx.doi.org/10.5012/jkcs.2019.63.2.78

High-resolution 1H NMR Spectroscopy of Green and Black Teas  

Jeong, Ji-Ho (Department of Chemistry, Hankuk University of Foreign Studies)
Jang, Hyun-Jun (Department of Chemistry, Hankuk University of Foreign Studies)
Kim, Yongae (Department of Chemistry, Hankuk University of Foreign Studies)
Publication Information
Journal of the Korean Chemical Society / v.63, no.2, 2019 , pp. 78-84 More about this Journal
Abstract
High-resolution $^1H$ NMR spectroscopic technique has been widely used as one of the most powerful analytical tools in food chemistry as well as to define molecular structure. The $^1H$ NMR spectra-based metabolomics has focused on classification and chemometric analysis of complex mixtures. The principal component analysis (PCA), an unsupervised clustering method and used to reduce the dimensionality of multivariate data, facilitates direct peak quantitation and pattern recognition. Using a combination of these techniques, the various green teas and black teas brewed were investigated via metabolite profiling. These teas were characterized based on the leaf size and country of cultivation, respectively.
Keywords
Multivariate analysis; $^1H$ NMR; Green tea; Black tea; Classification;
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