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%0 Thesis
%A Marks, Caroline
%T Multi-scale analysis of liquid-based pretreatment in lignocellulosic biorefineries
%V 21 (2022)
%I Rheinisch-Westfälische Technische Hochschule Aachen
%V Dissertation
%C Aachen
%M RWTH-2022-07297
%B Aachener Verfahrenstechnik series AVT.SVT - Process systems engineering
%P 1 Online-Ressource : Illustrationen, Diagramme
%D 2021
%Z Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2022
%Z Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2021
%X To reduce CO2 emissions, fossil-carbon-based fuels and chemicals can alternatively be produced from renewable carbon sources such as lignocellulosic biomass. The material conversion of biomass requires a pretreatment to cleave the composite-like structure of biomass, often followed by enzymatic hydrolysis to make sugars available for further processing. However, the mechanisms of liquid-based pretreatment concepts are not yet completely understood. Especially the role of the various mixtures of solvents and ions that are applied as pretreatment liquids remains unclear in many cases. In this thesis, pretreatment of biomass is investigated on multiple scales: from the molecular scale with interactions between components of pretreatment liquids to the process level with the influence of sugar yield on the production pathway performance of biofuels. In combination with enzymatic hydrolysis, the ionic liquid 1-ethyl-3-methylimidazolium acetate (EMIMAc) effectively pretreats and disintegrates beech wood, but sugar yields decrease with increasing water content in EMIMAc. In this work, molecular interactions between EMIMAc and water are characterized using low-field NMR spectroscopy and deuterated solvents. Model-based evaluation of the observed hydrogen-deuterium exchange allows for the determination of the underlying kinetics. Composition-dependent changes of exchange kinetics imply that strongly associated ion networks remain active down to 30 mol 
%F PUB:(DE-HGF)11 ; PUB:(DE-HGF)3
%9 Dissertation / PhD ThesisBook
%R 10.18154/RWTH-2022-07297
%U https://publications.rwth-aachen.de/record/850162