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• W4387465010 abstract "Dandelion root contains triterpenoids, polyphenols and flavonoids, dandelion leaf is rich in polyphenols, flavonoids, flavonoids glycosides, and dandelion flower mainly contains flavonoids, et al. These different substance species and content lead to specific benefits and function effects of each part. Fourier transform infrared spectroscopy, three-dimensional fluorescence spectroscopy and related multivariate statistical methods are widely used to determine sample characteristics, but limited research focuses on the substance difference and characteristics in dandelion tissues. In this paper, Fourier transform infrared spectra-principal component analysis and three-dimensional fluorescence spectroscopy-parallel factor analysis were conveyed to analyze dandelion stem, leaf, root and flower tissue extracts, for determining the substance species and content difference among dandelion tissues and evaluating the discrimination capacity of these analysis methods. The Fourier transform infrared spectroscopy of root was distinct from others, and the two principal component model could distinguish dandelion stem and flower, but failed to differentiate leaf and root; while the excitation and emission matrix showed that stem and flower, leaf and root had similar intensity bands distribution but different fluorescence intensity, and the parallel factor analysis result proved that one- and three-component model cannot differentiate the tissues of stem and flower, leaf and root, since the fluorescent compounds (polyphenol, flavonoid etc.) structure and content were similar in different tissues. These results indicated that Fourier transform infrared-principal component analysis might be a proper method when various fluorescent compounds exist." @default.
• W4387465010 created "2023-10-10" @default.
• W4387465010 creator A5020418881 @default.
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• W4387465010 date "2023-01-01" @default.
• W4387465010 modified "2023-10-11" @default.
• W4387465010 title "Discrimination capacity analysis of FTIR-PCA and EEM-PARAFAC on dandelion tissues extracts" @default.
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• W4387465010 doi "https://doi.org/10.48130/fia-2023-0026" @default.
• W4387465010 hasPublicationYear "2023" @default.
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