Issue 19, 2023

Quantitative prediction of the solvent fractionation of lignin

Abstract

Lignin is the most abundant and sustainable source of aromatics on earth. However, its heterogeneous structure and hard-to-predict physicochemical properties complicate its valorization potential in many applications. We present a combined experimental and theoretical approach to quantify and predict the fractionation of lignin in binary solvent blends. This serves as an important way to reduce feedstock heterogeneity, obtaining lignin fractions with better defined molecular features. Our model predicts how the yield, in terms of amount of dissolved lignin, varies with the solvent composition. To explain the experimental results, it is essential that we invoke the physical and chemical polydispersity of lignin in our model. We obtain quantitative agreement with experimental results on various molecular features of the dissolved lignin fractions, including the yield, molecular mass, and the number of functional hydroxyl groups. This work shows that the amount and nature of dissolved lignin can be tuned predictably using a combination of solvents, which paves the way for a broader applicability of lignin as a bio-based material.

Graphical abstract: Quantitative prediction of the solvent fractionation of lignin

Article information

Article type
Communication
Submitted
22 Mar 2023
Accepted
09 Aug 2023
First published
19 Sep 2023
This article is Open Access
Creative Commons BY license

Green Chem., 2023,25, 7534-7540

Quantitative prediction of the solvent fractionation of lignin

S. H. M. van Leuken, D. J. G. P. van Osch, P. D. Kouris, Y. Yao, M. A. Jedrzejczyk, G. J. W. Cremers, K. V. Bernaerts, R. A. T. M. van Benthem, R. Tuinier, M. D. Boot, E. J. M. Hensen and M. Vis, Green Chem., 2023, 25, 7534 DOI: 10.1039/D3GC00948C

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