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基于选择性模型,通过COSMO-RS筛选用于溶解半纤维素的离子液体。

Screening ionic liquids for dissolving hemicellulose by COSMO-RS based on the selective model.

作者信息

Zhao Jinzheng, Zhou Guohui, Fang Timing, Ying Shengzhe, Liu Xiaomin

机构信息

School of Chemistry and Chemical Engineering, Qingdao University 308 Ningxia Road Shinan District Qingdao Shandong 266071 P. R. China

出版信息

RSC Adv. 2022 Jun 6;12(26):16517-16529. doi: 10.1039/d2ra02001g. eCollection 2022 Jun 1.

Abstract

The utilization of biomass resources has attracted more and more attention due to the consumption of non-renewable resources. Compared with cellulose and lignin, hemicellulose has been less studied. Some ionic liquids (ILs) have been proved to be excellent solvents for lignocellulosic pretreatment. However, screening of more efficient ILs is difficult due to numerous possible ILs. Computational chemistry has been proved effective in solvent screening, but a precise model is indispensable. In this work, we focused on building several appropriate models and selected the most suitable one. According to the structure of hemicellulose, six hemicellulose models were constructed and the mid-dimer of the xylan chain hemicellulose (MDXC) model was proved to be the best compared with the reported experimental results. Based on the MDXC model, 1368 ILs were screened to evaluate their ability to dissolve hemicellulose by Conductor-like Screening Model for Real Solvents (COSMO-RS). The activity coefficient (γ), excess enthalpy (H), and σ-profile indicated that the hydrogen-bond (H-bond) played a vital role in the dissolution of hemicellulose. Anions played a more critical role than cations, where small anions with H-bond acceptor groups could enhance the molecular interactions with hemicellulose. This work provided a thermodynamic understanding of hemicellulose and IL solvent systems. It highlights the importance of building appropriate solute models, which may be necessary to predict of the other thermodynamic properties in the future.

摘要

由于不可再生资源的消耗,生物质资源的利用已引起越来越多的关注。与纤维素和木质素相比,半纤维素的研究较少。一些离子液体已被证明是用于木质纤维素预处理的优良溶剂。然而,由于可能的离子液体数量众多,筛选更高效的离子液体具有一定难度。计算化学已被证明在溶剂筛选中有效,但精确的模型必不可少。在这项工作中,我们专注于构建几个合适的模型并选择最合适的一个。根据半纤维素的结构,构建了六个半纤维素模型,与已报道的实验结果相比,木聚糖链半纤维素的中二聚体(MDXC)模型被证明是最佳的。基于MDXC模型,通过真实溶剂的导体类筛选模型(COSMO-RS)筛选了1368种离子液体,以评估它们溶解半纤维素的能力。活度系数(γ)、超额焓(H)和σ-分布表明,氢键在半纤维素的溶解中起着至关重要的作用。阴离子比阳离子起着更关键的作用,带有氢键受体基团的小阴离子可以增强与半纤维素的分子相互作用。这项工作提供了对半纤维素和离子液体溶剂体系的热力学理解。它突出了构建合适溶质模型的重要性,这可能是未来预测其他热力学性质所必需的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f0b/9169070/ec488b03fa5b/d2ra02001g-f1.jpg

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