Projects per year
Abstract
Selective processing of the β-O-4 unit in lignin is essential for the efficient depolymerisation of this biopolymer and therefore its successful integration into a biorefinery set-up. An approach is described in which this unit is modified to incorporate a carboxylic ester with the goal of enabling the use of mild depolymerisation conditions. Inspired by preliminary results using a Cu/TEMPO/O2 system, a protocol was developed that gave the desired β-O-4-containing ester in high yield using certain dimeric model compounds. The optimised reaction conditions were then applied to an oligomeric lignin model system. Extensive 2D NMR analysis demonstrated that analogous chemistry could be achieved with the oligomeric substrate. Mild depolymerisation of the ester-containing oligomer delivered the expected aryl acid monomer.
Original language | English |
---|---|
Pages (from-to) | 12397-12402 |
Number of pages | 7 |
Journal | Chemistry - A European Journal |
Volume | 26 |
Issue number | 54 |
Early online date | 3 Sept 2020 |
DOIs | |
Publication status | Published - 25 Sept 2020 |
Keywords
- Biomass
- Lignin
- Mild depolymerization
- TEMPO oxidation
- Copper
Fingerprint
Dive into the research topics of 'Copper-mediated conversion of complex ethers to esters: enabling biopolymer depolymerisation under mild conditions'. Together they form a unique fingerprint.Projects
- 2 Finished
-
Unravelling the chemistry: Unravelling the chemistry that drives lignocellulose degradation in nature
Lancefield, C. S. (PI)
1/09/18 → 31/08/21
Project: Fellowship
-
CRITICAT CDT: Critical Resource Catalysis - CRITICAT
Smith, A. D. (PI), Nolan, S. P. (CoI) & Westwood, N. J. (CoI)
1/05/14 → 31/10/22
Project: Standard
Datasets
-
Copper-mediated conversion of complex ethers to esters: enabling biopolymer depolymerisation under mild conditions (dataset)
Westwood, N. J. (Creator), Xiao, G. (Creator), Montgomery, J. (Creator), Lancefield, C. S. (Creator) & Panovic, I. (Creator), Figshare, 2020
DOI: 10.6084/m9.figshare.12795062
Dataset