Quantitative prediction of the solvent fractionation of lignin

Stijn van Leuken, Dannie J.G.P. van Osch, Panos D. Kouris, Yawen Yao, Monika A. Jedrzejczyk, Geert J.W. Cremers, Katrien V. Bernaerts, Rolf A.T.M. van Benthem, Remco Tuinier, Michael D. Boot, Emiel J.M. Hensen (Corresponding author), Mark Vis (Corresponding author)

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

1 Citaat (Scopus)
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Samenvatting

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.
Originele taal-2Engels
Pagina's (van-tot)7534-7540
Aantal pagina's7
TijdschriftGreen Chemistry
Volume25
Nummer van het tijdschrift19
DOI's
StatusGepubliceerd - 7 okt. 2023

Financiering

FinanciersFinanciernummer
Technische Universiteit Eindhoven
European Regional Development Fund

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