Decoupling solid recovery, delignification, and sugar yield in LCB pretreatment using explainable machine learning and TOPSIS

Puntos clave

• Sugar yield increases significantly with optimized delignification strategies, leading to better overall recovery.
• TOPSIS methodology reveals optimal processing parameters within lignocellulosic biomass pathways, enhancing efficiency.
• Analysis employs explainable machine learning to unravel complex interactions between variables affecting sugar production.
• Highlights the potential for more sustainable and cost-effective bioprocessing to harness lignocellulosic resources.