Multicomponent kinetic modeling of lignocellulose deconstruction via coupling lignin dynamics with biphasic hemicellulose hydrolysis
- 1School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
- 2Corresponding authors.
Abstract
The inherent structural complexity of lignocellulosic biomass, characterized by the intricate interplay between its major constituents, has posed fundamental challenges to predictive modeling of its deconstruction processes. This work proposes a novel component-coupled model based on representative volume element analysis (RVEA) to elucidate the kinetic mechanisms of lignin and hemicellulose degradation. The foundation of this modeling was a uniquely designed densification pretreatment using H 2 SO 4 and H 2 O 2 (DLC(sa-hp)), achieving a strategic shift by transforming lignin-derived inhibitor, which was traditionally viewed as detrimental, into quantifiable, real-time tracking kinetic indicator through controlled its release. The RVEA quantitatively revealed the coupled mechanisms between lignin and hemicellulose deconstruction through acidic and oxidative catalysis governing selective bond cleavage, explaining the correlation between fast-slow phase dynamic transition of hemicellulose with lignin degradation. This integrated methodology has enabled the development of a multicomponent kinetic model featuring semi-analytical solutions, providing unprecedented computational efficiency and revealing explicit relationships between process parameters and kinetic behavior. The resulting kinetic methodology establishes a new modeling paradigm for lignocellulose biorefinery, connecting molecular scale understanding with process design through multiscale modeling. This work provides both fundamental insights into lignocellulose deconstruction and an efficient modeling tool for advancing sustainable biorefinery.
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BibTeX
@article{hu2026multicomponent,
title = {{Multicomponent kinetic modeling of lignocellulose deconstruction via coupling lignin dynamics with biphasic hemicellulose hydrolysis}},
author = {Xingye Hu and Xinchuan Yuan and Guannan Shen and Yao Chen and Mingjie Jin},
journal = {Journal of Bioresources and Bioproducts},
year = {2026},
month = oct,
doi = {10.1016/j.jobab.2026.100286},
url = {https://doi.org/10.1016/j.jobab.2026.100286},
note = {CC BY},
}
RIS
TY - JOUR
TI - Multicomponent kinetic modeling of lignocellulose deconstruction via coupling lignin dynamics with biphasic hemicellulose hydrolysis
AU - Xingye Hu
AU - Xinchuan Yuan
AU - Guannan Shen
AU - Yao Chen
AU - Mingjie Jin
PY - 2026
DA - 2026/10/25
JO - Journal of Bioresources and Bioproducts
DO - 10.1016/j.jobab.2026.100286
UR - https://doi.org/10.1016/j.jobab.2026.100286
AB - The inherent structural complexity of lignocellulosic biomass, characterized by the intricate interplay between its major constituents, has posed fundamental challenges to predictive modeling of its deconstruction processes. This work proposes a novel component-coupled model based on representative volume element analysis (RVEA) to elucidate the kinetic mechanisms of lignin and hemicellulose degradation. The foundation of this modeling was a uniquely designed densification pretreatment using H 2 SO 4 and H 2 O 2 (DLC(sa-hp)), achieving a strategic shift by transforming lignin-derived inhibitor, which was traditionally viewed as detrimental, into quantifiable, real-time tracking kinetic indicator through controlled its release. The RVEA quantitatively revealed the coupled mechanisms between lignin and hemicellulose deconstruction through acidic and oxidative catalysis governing selective bond cleavage, explaining the correlation between fast-slow phase dynamic transition of hemicellulose with lignin degradation. This integrated methodology has enabled the development of a multicomponent kinetic model featuring semi-analytical solutions, providing unprecedented computational efficiency and revealing explicit relationships between process parameters and kinetic behavior. The resulting kinetic methodology establishes a new modeling paradigm for lignocellulose biorefinery, connecting molecular scale understanding with process design through multiscale modeling. This work provides both fundamental insights into lignocellulose deconstruction and an efficient modeling tool for advancing sustainable biorefinery.
SN - 2369-9698
ER -