| Journal of the Korean Chemical Society | |
| High-resolution 1 H NMR Spectroscopy of Green and Black Teas | |
| article | |
| Ji Ho Jeong1  Hyun Jun Jang1  Yongae Kim1  | |
| [1] Department of Chemistry, Hankuk University of Foreign Studies | |
| 关键词: Multivariate analysis; 1 H NMR; Green tea; Black tea; Classification; | |
| DOI : 10.5012/jkcs.2019.63.2.78 | |
| 学科分类:化学(综合) | |
| 来源: Korean Chemical Society | |
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【 摘 要 】
High-resolution 1 H 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 1 H 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.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202108140000045ZK.pdf | 883KB |
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