Abstract
One key challenge hindering the valorization of lignin is its structural complexity. Artificial lignin-like materials provide a stepping stone between the simplicity of model compounds and the complexity of lignin. Here, we report an optimized synthesis of an all-G β-O-4 polymer 1 designed to model softwood lignin. After acetylation, the polymer Ac-1(V) was fractionated using a protocol that involved only volatile organic solvents, which left no insoluble residue. Using diffusion ordered spectroscopy NMR in combination with gel permeation chromatography, it was revealed that this fractionated material behaved like a flexible linear polymer in solution (average α > 0.5). Acetylated kraft lignin was subsequently processed using the same fractionation protocol. By comparison with the model polymer, we propose that the acetylated kraft lignin is composed of two classes of materials that exhibit contrasting physical properties. One is comparable to the acetylated all-G β-O-4 polymer Ac-1, and the second has a significantly different macromolecular structure.
Original language | English |
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Pages (from-to) | 8466-8474 |
Journal | ACS Omega |
Volume | 2 |
Issue number | 11 |
DOIs | |
Publication status | Published - 30 Nov 2017 |
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Dive into the research topics of 'Fractionation and DOSY NMR as analytical tools: from model polymers to a technical lignin'. Together they form a unique fingerprint.Datasets
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Fractionation and DOSY NMR as Analytical Tools: from Model Polymers to a Technical Lignin
Lebl, T. (Creator), Westwood, N. J. (Creator), Bode, B. E. (Creator), Ackermann, K. (Creator), Miles-Barrett, D. (Creator), Lancefield, C. S. (Creator) & Montgomery, J. (Creator), University of St Andrews, 15 Nov 2017
DOI: 10.17630/e761d899-5cac-410f-8bf8-c912cd796031
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Insights into the Structure and Reactivity of the Biopolymer Lignin using Diffusion Ordered Spectroscopy and Synthetic Model Studies (theisis data)
Montgomery, J. (Creator), Westwood, N. J. (Supervisor) & Lebl, T. (Supervisor), University of St Andrews, 10 Mar 2025
DOI: 10.17630/471b9e95-052e-4bb0-99cb-f0ad46cc83d4, http://hdl.handle.net/10023/19585
Dataset: Thesis dataset
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