Role of Anions in 5-Hydroxymethylfurfural Solvation in Ionic Liquids from Molecular Dynamics Simulations

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The proper selection of solvents for biomass upgrading is a crucial task as it should carefully balance the enhancement of reactivity with a facile product recovery. A challenging case is the conversion of glucose and fructose to 5-hydroxymethylfurfural (HMF). Ionic liquids (ILs) are often employed to boost the activity and selectivity of this process, although the isolation of HMF from the medium remains a major drawback. To investigate such solvent effects in a realistic (dynamic) environment, classical molecular dynamics (MD) simulations of HMF are performed in imidazolium-based ILs with different anions. Several parameters are identified that directly control HMF–anion interactions, which may hamper product separation, as well as HMF–HMF contacts, which can promote undesired side-reactions. These computational results would guide future high-throughput screenings of new and improved IL media

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Advanced Theory and Simulations, 5 (2022). https://doi.org/10.1002/adts.202200522

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This work was funded by the Spanish Ministry of Economy and Competitiveness (under projects MAT2017-89239-C2-1-P and PID2020-119116RA-I00) and by the Xunta de Galicia (ED431D 2017/06, ED431E 2018/08, GRC ED431C 2016/001, and GRC ED431C 2020/10). All these projects were partially supported by FEDER. H.M.C. thanks the USC for his “Convocatoria de Recualificación do Sistema Universitario Español-Margarita Salas” postdoctoral grant under the “Plan de Recuperación Transformación” program funded by the Spanish Ministry of Universities with European Union's NextGenerationEU funds. T.M.M. acknowledges her contract funded by the pilot program of the USC for the recruitment of distinguished research personnel—call 2021 under the agreement between the USC and the Santander Bank for 2021–2024. M.A.O. acknowledges the Xunta Distinguished Researcher program (ED431H 2020/21), the Xunta de Galicia (Centro singular de investigación de Galicia accreditation 2019–2022, ED431G 2019/03), and the European Union (European Regional Development Fund – ERDF) for funding. He also acknowledges CESGA (“Centro de Supercomputación de Galicia”) for providing computational resources

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© 2022 The Authors. Advanced Theory and Simulations published by Wiley-VCH GmbH This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited
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