Mechanistic Insights into the Demethylation of Lignin‐Derived Structures Using Protic Ionic Liquids: A Density Functional Theory Study

溶剂化 化学 去甲基化 密度泛函理论 计算化学 木质素 二聚体 离子液体 氢键 反应性(心理学) 分子动力学 过渡状态 离子键合 隐溶剂化 溶剂效应 溶剂模型 化学物理 光化学 溶剂 分子轨道 轨道能级差 有机化学 愈创木酚 反应机理 分子间力 电子结构 组合化学
作者
Dhirendra Kumar Mishra,Kenneth L. Sale,Blake A. Simmons,Hemant Choudhary,Dhirendra Kumar Mishra,Kenneth L. Sale,Blake A. Simmons,Hemant Choudhary
出处
期刊:ChemPhysChem [Wiley]
卷期号:: e202500374-e202500374
标识
DOI:10.1002/cphc.202500374
摘要

Lignin valorization is restricted by the stability of its methoxy groups, creating a critical need for efficient demethylation strategies. Here, density functional theory (DFT) is employed to dissect the mechanistic pathways of demethylation in lignin model compounds, guaiacol and syringol, using protic ionic liquids (PILs) that act as both solvent and catalyst. Conductor‐like Screening Model for Real Solvents (COSMO‐RS) analysis identifies monoethanolammonium acetate ([MEOA][Ace]) as the most promising medium, attributed to its strong hydrogen bonding network and solvation ability. By integrating implicit and explicit solvation models, it is revealed that an acid‐catalyzed hydrolytic mechanism governs demethylation, with PILs stabilizing crucial transition states and intermediates. Complementary electronic structure evaluations, including highest occupied molecular orbital–lowest unoccupied molecular orbital (HOMO‐LUMO) gap analysis, charge distribution, and electrostatic potential mapping, demonstrate how PILs lower energetic barriers and enhance reactivity. To simulate realistic environments, this study is extended to lignin dimer complexes with varying water content, uncovering how water‐bridged solvation reverses demethylation preference from guaiacyl to syringyl units. This mechanistic shift aligns with experimental observations showing faster S‐unit reactivity in hydrated systems. Together, these findings provide atomic‐level insight into lignin demethylation dynamics and highlight how tuning acid concentration in PILs can accelerate kinetics, enabling a rational pathway toward next‐generation biomass conversion technologies.
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