Journal: Journal of Natural Products

Article Title: Comparison of Metabolomics Approaches for Evaluating the Variability of Complex Botanical Preparations: Green Tea ( Camellia sinensis ) as a Case Study

doi: 10.1021/acs.jnatprod.6b01156

Figure Lengend Snippet: Principal component analysis (PCA) scores plot of data from 1 H NMR metabolomics analysis of green tea extracts. Representative samples are highlighted (T23, T26, T27, and T37).

Article Snippet: For NMR-based metabolomics, NMR spectra were processed using Mnova (Mestrelab Research, Santiago de Compostela, Spain) with exponential apodization (exponent 1); global phase correction; Bernstein-Polynomial baseline correction; Savitzky–Golay line smoothing; and normalization using total spectral area as provided in Mnova.

Techniques:

Journal: Journal of Natural Products

Article Title: Comparison of Metabolomics Approaches for Evaluating the Variability of Complex Botanical Preparations: Green Tea ( Camellia sinensis ) as a Case Study

doi: 10.1021/acs.jnatprod.6b01156

Figure Lengend Snippet: Heat map correlation matrix for green tea samples. Correlation was based upon the averaged metabolomic profile for each sample and calculated from the reproduced correlation coefficient matrix comprised of a four principal component model (Table S5, Supporting Information ). Darker shades represent stronger correlation between samples. # Negative control; ‡ NIST standard reference materials; § green teas with botanical additives.

Article Snippet: For NMR-based metabolomics, NMR spectra were processed using Mnova (Mestrelab Research, Santiago de Compostela, Spain) with exponential apodization (exponent 1); global phase correction; Bernstein-Polynomial baseline correction; Savitzky–Golay line smoothing; and normalization using total spectral area as provided in Mnova.

Techniques: Negative Control