Compositional analysis of pretreated (beech) wood using differential scanning calorimetry and multivariate data analysis

  • The composition of plant biomass varies depending on the feedstock and pre-treatment conditions and influences its processing in biorefineries. In order to ensure optimal process conditions, the quantitative proportion of the main polymeric components of the pre-treated biomass has to be determined. Current standard procedures for biomass compositional analysis are complex, the measurements are afflicted with errors and therefore often not comparable. Hence, new powerful analytical methods are urgently required to characterize biomass. In this contribution, Differential Scanning Calorimetry (DSC) was applied in combination with multivariate data analysis (MVA) to detect the cellulose content of the plant biomass pretreated by Liquid Hot Water (LHW) and Organosolv processes under various conditions. Unlike conventional techniques, the developed analytic method enables the accurate quantification of monosaccharide content of the plant biomass without any previous sample preparation. It is easy to handle and avoids errors in sample preparation.

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Metadaten
Author:Helene Wulfhorst, Anna-Maria Duwe, Johannes Merseburg, Nils Tippkötter
DOI:http://dx.doi.org/10.1016/j.tet.2016.04.029
Parent Title (English):Tetrahedron
Document Type:Article
Language:English
Year of Completion:2016
Date of the Publication (Server):2017/08/17
Volume:72
Issue:46
First Page:7329
Last Page:7334
Link:http://www.sciencedirect.com/science/article/pii/S0040402016302915
Zugriffsart:bezahl
Institutes:FH Aachen / Fachbereich Chemie und Biotechnologie

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