nir spectroscopy and chemometrics for ionic liquids : lignocellulosic biomass dissolution
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NIR spectroscopy and chemometrics for ionic liquids : lignocellulosic biomass dissolution. Bettina Liebmann, Joana Rodrigues, Anton Friedl, Kurt Varmuza [email protected]. Introduction. - PowerPoint PPT PresentationTRANSCRIPT
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Bettina Liebmann, Joana Rodrigues,
Anton Friedl, Kurt Varmuza
NIR spectroscopy and chemometrics for ionic liquids: lignocellulosic biomass dissolution
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Thermal Process Engineering
The dissolution in ionic liquids (IL) is a new, alternative technology to disrupt the complex fibre network of lignocellulosic biomass at comparatively mild conditions.
Its three main compounds – cellulose, hemicelluloses, and lignin – are interesting renewable sources for biofuels, chemicals, and biomaterials.
Once dissolved in the IL, they can be separated by simple addition of an anti-solvent; e.g., the addition of water immediately precipitates amorphous cellulose from the IL.
In this preliminary study we investigate the applicability of NIR spectroscopy and chemometrics for quantifying the three main compounds of lignocelluloses in IL.
Introduction
Straw composition, schematically
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consist entirely of ions (salts) melting point < 100°C (liquid at room T!) negligible vapour pressure excellent thermal stability up to 400°C non flammable electrically conducting, magnetic many interesting applications! “design” properties by ion combination
Ionic Liquids
Molecular structure of the ionic liquid EMIM-Oac (1-ethyl-methyl-imidazolium
acetate)
After mixing the pure cellulose with EMIM-Oac, particles and
agglomerations are dissolved by ultrasound and temperatures 40-
60 °C for 7-24 hours to obtain clear solutions.
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NIR spectrometer (Brimrose Luminar 5030, AOTF)
Near-infrared spectroscopy (NIR)
NIR spectrum of the used IL; NIR spectra of pure solid
cellulose, lignin, and xylan.
NIR transflectance probe with variable pathlength for liquid samples (left); NIR diffuse reflectance probe for solid samples (right).
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NIR spectra and predicted concentration by PLS regression model
Cellulose + IL Lignin + IL Xylan + IL
SEPCV, standard error of prediction from leave-one-out cross validation; aCV, number of PLS componentsPLS-models with leave-one-out CV in software Unscrambler.
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Empirical models for the concentration of cellulose, lignin, and xylan in ionic liquid EMIM-OAc result in good prediction performance.
In the next step, experiments will focus on multi-component mixtures of cellulose, lignin, and xylan in the ionic liquid.
Good reference values for actually dissolved straw components in the IL is a limiting factor in PLS model building for industrial application.
Summary and Outlook