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Research Article Open access CC BY 4.0

Non-targeted Metabolomic Profiling of Maize Landraces (Zea mays L.) Combined with Chemometric Tools

Virgílio Gavicho Uarrota, Miguel Rocha, Marcelo Maraschin

International Journal of Biochemistry Research & Review · pp. 1–9 · Published 11 Nov 2017

10.9734/IJBCRR/2017/35832

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.

Chemical composition FTIR maize landraces Non-supervised techniques R software

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