Multicomponent kinetic modeling of lignocellulose deconstruction via coupling lignin dynamics with biphasic hemicellulose hydrolysis

Xingye Hu; Xinchuan Yuan; Guannan Shen; Yao Chen; Mingjie Jin

doi:10.1016/j.jobab.2026.100286

Volume 11 Issue 5

Oct. 2026

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Xingye Hu, Xinchuan Yuan, Guannan Shen, Yao Chen, Mingjie Jin. Multicomponent kinetic modeling of lignocellulose deconstruction via coupling lignin dynamics with biphasic hemicellulose hydrolysis[J]. Journal of Bioresources and Bioproducts, 2026, 11(5): 100286. doi: 10.1016/j.jobab.2026.100286

Citation:

Xingye Hu, Xinchuan Yuan, Guannan Shen, Yao Chen, Mingjie Jin. Multicomponent kinetic modeling of lignocellulose deconstruction via coupling lignin dynamics with biphasic hemicellulose hydrolysis[J]. Journal of Bioresources and Bioproducts, 2026, 11(5): 100286. doi: 10.1016/j.jobab.2026.100286

Citation:

Xingye Hu, Xinchuan Yuan, Guannan Shen, Yao Chen, Mingjie Jin. Multicomponent kinetic modeling of lignocellulose deconstruction via coupling lignin dynamics with biphasic hemicellulose hydrolysis[J]. Journal of Bioresources and Bioproducts, 2026, 11(5): 100286. doi: 10.1016/j.jobab.2026.100286

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Multicomponent kinetic modeling of lignocellulose deconstruction via coupling lignin dynamics with biphasic hemicellulose hydrolysis

doi: 10.1016/j.jobab.2026.100286

School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Funds:

This work was supported by National Natural Science Foundation of China (No. 22408173), Jiangsu Funding Program for Excellent Postdoctoral Talent (No. 2024ZB657) and China Postdoctoral Science Foundation (No. 2025M774263).

Received Date: 2026-03-23
Accepted Date: 2026-07-30
Rev Recd Date: 2026-06-29

Available Online: 2026-11-03

Publish Date: 2026-08-20

Abstract

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 H₂SO₄ and H₂O₂ (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.
- Multicomponent coupling kinetic model,
- Catalytic mechanism,
- Lignocellulosic biorefinery,
- Representative volume element analysis,
- Rational design

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References(52)

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