Multivariate Raman mapping for phenotypic characterization in plant tissue sections

Identifying and characterizing the biochemical variation in plant tissues is an important task many research fields. Small spectral differences of cell wall that are caused by genetic or environmental influences may be superimposed individual as well a microscopic heterogeneity molecular composition structure different histological substructures. A set 56 samples from Cucumis sativus (cucumber) plants, comprising total ~168,000 spectra tissue sections leaf, stem, roots was investigated Raman microspectroscopic mapping excited at 532 nm. multivariate analysis carried out order to assess with respect origin tissue, (cell wall) substructures, possibility discriminate obtained individuals had been subjected two conditions during growth. Combining results principal component (PCA) based classification original spatial information maps 23 leaf xylem, found for four also includes discrimination grown presence absence additional silicic acid irrigation water plants. The data point contribution carotenoids, hydroxycinnamic acids spectra. give new insight into chemical useful elucidating processes associated biomineralization vibrational spectroscopy.