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Optimization of softwood pretreatment by microwave-assisted deep eutectic solvents at high solids loading
Regan Ceaser1, Silvia Rosa1, Daniel Montané1
1Departament d'Enginyeria Química, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
Bioresource Technology
|December 12, 2022
Summary
Microwave-assisted deep eutectic solvent pretreatment efficiently fractionates softwood. This method achieves high glucan retention and purity while removing lignin and hemicelluloses, recovering valuable lignin.
Area of Science:
- Biomass Pretreatment
- Green Chemistry
- Lignocellulose Fractionation
Background:
- Deep eutectic solvents (DES) are emerging as efficient pretreatment agents for lignocellulose.
- Microwave-assisted DES pretreatment offers rapid and effective biomass fractionation.
Purpose of the Study:
- To optimize microwave-assisted deep eutectic solvent (DES) pretreatment using choline chloride:formic acid (ChCl:FA) for milled softwood mixture (MSM) fractionation.
- To achieve high glucan retention and purity in the residue while maximizing lignin and hemicellulose removal.
Main Methods:
- Fractionation of milled softwood mixture (MSM) using choline chloride:formic acid (ChCl:FA) deep eutectic solvent.
- Application of microwave irradiation to accelerate the pretreatment process.
- Optimization of key parameters including ChCl:FA ratio, temperature, time, microwave power, and solid loading.
Main Results:
- Optimal conditions (ChCl:FA 1:4, 140°C, 14 min, 800 W, 15% solid loading) yielded 96.2% hemicellulose removal, 90.1% delignification, and 93.5% glucan retention.
- Approximately 85% of lignin was recovered with 95% purity at 10-20% solid loading.
- High solid loading was demonstrated to be feasible for efficient fractionation.
Conclusions:
- Microwave-assisted ChCl:FA pretreatment is a highly effective and rapid method for lignocellulose fractionation.
- This approach enables the recovery of high-purity glucan-rich residues and valuable lignin.
- The optimized method shows significant potential for industrial applications in biomass valorization.

