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Practical guide to designing safer ionic liquids for cellulose dissolution using a tiered computational framework

机译:使用分层计算框架设计用于纤维素溶解的安全离子液体的实用指南

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The theoretical promise of ionic liquids (ILs) as 'green' designer solvents that can be tuned to facilitate key steps of lignocellulosic biomass processing has not been fully realized due to the sheer number of possible cation-anion combinations and concerns about toxicity of this class of chemicals. Although computational methods are being applied to identify ILs with specific functions, such as dissolution of cellulose, they are not used to iteratively design new ionic liquids with the goal of simultaneously optimizing multiple criteria, such as performance and environmental safety. Here we describe a tiered computational approach to develop new ILs based on mixed quantum and molecular mechanics simulations, which, combined with analysis of physicochemical properties of ILs can be used to guide structural modifications to design both better performing task-specific and safer IL analogs. The increase in computing requirements of the proposed approach over structure-based statistical models is relatively modest; yet, our approach is more robust than these models, and far less costly than highly-accurate but very demanding large-scale molecular simulations.
机译:离子液体(ILS)作为能够调整的“绿色”设计师溶剂的理论承诺,以促进木质纤维素生物量处理的关键步骤,由于可能的阳离子组合的纯粹数量和对本类毒性的毒性令人担忧,尚未完全实现化学品。尽管正在应用计算方法以鉴定具有特定功能的ILS,例如纤维素溶解,但它们不用于迭代地设计新的离子液体,其目的是同时优化多个标准,例如性能和环境安全。在这里,我们描述了一种基于混合量子和分子力学模拟开发新ILS的分层计算方法,即与ILS的物理化学性质的分析相结合,可用于引导结构修改,以设计更好的表现特定的特定任务和更安全的IL类似物。在基于结构的统计模型上提出的方法的计算要求的增加相对谦虚;然而,我们的方法比这些模型更强大,而且比高度准确但非常苛刻的大规模分子模拟更昂贵。

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