Новая модель доказала, что лигнин в биорефинах не является статичным препятствием, а ускоряет гидролиз целлюлозы

For decades, kinetic models in biorefinery research have treated cellulose, hemicellulose, and lignin as if they react in isolation. A study published in the Journal of Bioresources and Bioproducts contends that this independence assumption is precisely why conventional predictions frequently drift away from reality. The researchers began with a densification pretreatment that compresses corn stover while infusing sulfuric acid and hydrogen peroxide. Where traditional dilute-acid methods unleash inhibitors in an unquantifiable burst, this technique releases phenolic compounds and acetic acid gradually. That controlled kinetics turned lignin-derived inhibitors—normally a hindrance—into measurable proxies for tracking bond cleavage. Through representative volume element analysis, the team demonstrated that lignin is not a static obstacle. As it depolymerizes, it progressively unshields hemicellulose, converting material from a recalcitrant slow phase into a readily hydrolysable fast phase. They encoded this behavior in a lignin relative degradation function and coupled it to hemicellulose hydrolysis kinetics, explicitly accounting for xylo-oligosaccharide intermediates that earlier models often ignored. Fitted via the Levenberg-Marquardt algorithm, the model yielded coefficients of determination between 0.90 and 0.99 across temperatures from 25°C to 75°C. Beyond tighter predictions, it offered mechanistic explanations for two long-standing observations: the sharp surge in hydrolysis efficiency after delignification and the divergent rates seen in high-lignin versus low-lignin feedstocks. Because the governing equations carry semi-analytical solutions, the framework avoids the truncation errors and heavy computational costs of pure numerical integration. Encapsulated in a MATLAB-based visualization platform, the model translates molecular-scale mechanisms into quantitative design rules for pretreatment optimization. See the article: DOI https://doi.org/10.1016/j.jobab.2026.100286 Original Source URL https://www.sciencedirect.com/science/article/pii/S2369969826000587 Journal Journal of Bioresources and Bioproducts