Polyphenol-based nuclear magnetic resonance non-targeted metabolomics of temperature- and time-controlled blue and red maize sprouting

Abstract Zea mays L corps apport to human consumption, complex matrices of compounds such as free and bounded phenolics, flavonoids anthocyanins with high nutritional values proved health benefits, which are dynamically synthesized since sprouting grains. This study presents for the first time a Nuclear Magnetic Resonance (NMR) non-targeted metabolomics aqueous methanolic extracts Mexican native blue red L. sprouts, produced specific germination scheme, at three different controlled temperatures. The proposed model comprises rationalization (poly)-phenolics metabolism dynamics function temperature, can be identified by more than thirty 1 H NMR discriminant resonances chemical shift range between 7.7 6.3 ppm -mostly comprising typical hydroxyphenyl polyphenolic frequencies- obtained multivariate statistical analysis. Both principal component (PCA) orthogonal projections latent structures analysis (OPLS-DA) reveal unique maize strain-, temperature- time-dependent mapping machinery during that might serve optimizing schemes. Strengths limitations PCA OPLS-DA data matrix from sprouts’ discussed. Furthermore, clear inverse correlation signal intensity modulation phenolic water line widths half height is observed, suggesting mechanism how solvent could participate within metabolomic formation germination. Finally, contrasted total contents standard quantitative methods.