Abstract
With lignin-first biorefineries likely to become a reality, controlled depolymerization of high-quality lignin streams to high value products has become a priority. Using bisulfite chemistry, access to a high-β-O-4 content water-soluble lignosulfonate has been achieved, allowing follow-on procedures in water to be conducted. We show that phenolic β-O-4 units preferential-ly react under acidic bisulfite conditions, whilst non-phenolic β-O-4 units react much more slowly. Exploiting this improved chemical understanding and inherent selectivity, a softwood lignosulfonate has been prepared in which phenolic β-O-4 α-sulfonation has occurred leaving significant native β-O-4 content. Use of an O-benzoylation protocol with lignin coupled with advanced 2D NMR methods has allowed detailed analysis of this and other commercial and industrial lignosulfonates. Conversion of the native β-O-4 to benzylic- oxidized β-O-4 units was followed by a selective reductive cleavage to give a premium aromatic monomer in pure form.
Original language | English |
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Pages (from-to) | 1831-1839 |
Number of pages | 9 |
Journal | ACS Sustainable Chemistry & Engineering |
Volume | 5 |
Issue number | 2 |
Early online date | 18 Jan 2017 |
DOIs | |
Publication status | Published - 6 Feb 2017 |
Keywords
- Biorefineries
- Controlled depolymerization
- Bisulfite chemistry
- O-Benzoylation
- Chemical feedstocks
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Datasets
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Exploiting Site-Selective Reactivity in the Processing of Lignin (thesis data)
Miles-Barrett, D. (Creator) & Westwood, N. J. (Supervisor), University of St Andrews, 8 Jan 2027
DOI: 10.17630/a8836033-528d-4547-9fb6-28bccaa5209b, http://hdl.handle.net/10023/17056
Dataset: Thesis dataset
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Use of bisulfite processing to generate high-β-O-4 content water-soluble lignosulfonates (dataset)
Miles-Barrett, D. (Creator), Montgomery, J. (Creator), Lancefield, C. S. (Creator), Cordes, D. B. (Creator), Slawin, A. M. Z. (Creator), Lebl, T. (Creator), Carr, R. (Creator) & Westwood, N. J. (Creator), Cambridge Crystallographic Data Centre, 29 Sept 2016
http://dx.doi.org/10.1021/acssuschemeng.6b02566
Dataset