Non-targeted Metabolomic Profiling of Maize Landraces (Zea mays L.) Combined with Chemometric Tools
Journal Title: International Journal of Biochemistry Research & Review - Year 2017, Vol 20, Issue 1
Abstract
Grain samples of maize landraces were collected and subjected to Fourier Transform Infrared spectroscopy (FTIR) analysis combined with chemometric tools in other to discriminate them regarding the chemical composition. Principal component analysis (PCA) and hierarchical clustering (HCA) were applied on selected peaks of the spectral data. The most important chemical groups found in all maize landrace samples were monoterpenes, sesquiterpenes, tetraterpenes, aminoacids, polysaccharides, lipids and proteins. Trace signals of secondary metabolites were also found in cultivars according to year of harvest.
Authors and Affiliations
Virgílio Gavicho Uarrota, Miguel Rocha, Marcelo Maraschin
Keywords
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- EP ID EP316947
- DOI 10.9734/IJBCRR/2017/35832
- Views 199
- Downloads 0
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