| Issue |
E3S Web Conf.
Volume 709, 2026
2026 12th International Conference on Environment and Renewable Energy (ICERE 2026)
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 10 | |
| Section | Waste Valorization and Green Biorefinery | |
| DOI | https://doi.org/10.1051/e3sconf/202670903005 | |
| Published online | 07 May 2026 | |
Process Optimization for Deep Eutectic Solvent Pretreatment of Water Hyacinth for Efficient Enzymatic Saccharification
Biorefinery and Process Automation Engineering Center, Department of Chemical Engineering and Management, The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Water hyacinth is an invasive aquatic species that causes severe ecological disruption but can serve as a promising lignocellulosic feedstock for bioenergy production. In this study, a deep eutectic solvent (DES) system based on choline chloride and formic acid (ChCl/FA) was applied to improve pretreatment efficiency and enhance enzymatic saccharification. Process variables were optimized using response surface methodology (RSM) coupled with a Box–Behnken design (BBD), considering temperature, reaction time, and solid-to-liquid ratio. A quadratic regression model adequately described the relationship between these variables and reducing sugar yield, exhibiting a high coefficient of determination. Optimal conditions were identified at approximately 91.85 °C, 60.70 min, and an S/L ratio of 1:5.07, corresponding to a predicted sugar yield of 0.21 g/g. Experimental validation showed good agreement with model predictions. The findings confirm that ChCl/FA is an effective and environmentally benign solvent for biomass pretreatment and highlight its potential application in sustainable biorefinery processes.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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