Multivariate unmixing approaches on Raman images of plant cell walls: new insights or overinterpretation of results?

ABSTRACT:

Background

Plant cell walls are nanocomposites based on cellulose microfibrils embedded in a matrix of polysaccharides and aromatic polymers. They are optimized for different functions (e.g. mechanical stability) by changing cell form, cell wall thickness and composition. To reveal the composition of plant tissues in a non-destructive way on the microscale, Raman imaging has become an important tool. Thousands of Raman spectra are acquired, each one being a spatially resolved molecular fingerprint of the plant cell wall. Nevertheless, due to the multicomponent nature of plant cell walls, many bands are overlapping and classical band integration approaches often not suitable for imaging. Multivariate data analysing approaches have a high potential as the whole wavenumber region of a

SUBMITTER: Prats-Mateu B 

PROVIDER: S-EPMC6031114 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature