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Tuning Water Networks via Ionic Liquid/Water Mixtures

Georgia Institute of Technology, School of Chemistry and Biochemistry, Atlanta 30332-0400, Georgia
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(2), 403;
Received: 18 November 2019 / Revised: 19 December 2019 / Accepted: 3 January 2020 / Published: 8 January 2020
Water in nanoconfinement is ubiquitous in biological systems and membrane materials, with altered properties that significantly influence the surrounding system. In this work, we show how ionic liquid (IL)/water mixtures can be tuned to create water environments that resemble nanoconfined systems. We utilize molecular dynamics simulations employing ab initio force fields to extensively characterize the water structure within five different IL/water mixtures: [BMIM + ][BF 4 ], [BMIM + ][PF 6 ], [BMIM + ][OTf ], [BMIM + ][NO 3 ] and [BMIM + ][TFSI ] ILs at varying water fraction. We characterize water clustering, hydrogen bonding, water orientation, pairwise correlation functions and percolation networks as a function of water content and IL type. The nature of the water nanostructure is significantly tuned by changing the hydrophobicity of the IL and sensitively depends on water content. In hydrophobic ILs such as [BMIM + ][PF 6 ], significant water clustering leads to dynamic formation of water pockets that can appear similar to those formed within reverse micelles. Furthermore, rotational relaxation times of water molecules in supersaturated hydrophobic IL/water mixtures indicate the close-connection with nanoconfined systems, as they are quantitatively similar to water relaxation in previously characterized lyotropic liquid crystals. We expect that this physical insight will lead to better design principles for incorporation of ILs into membrane materials to tune water nanostructure. View Full-Text
Keywords: ionic liquids; molecular dynamics; percolation network; ab initio force fields; water mixtures; nanoconfinement ionic liquids; molecular dynamics; percolation network; ab initio force fields; water mixtures; nanoconfinement
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Verma, A.; Stoppelman, J.P.; McDaniel, J.G. Tuning Water Networks via Ionic Liquid/Water Mixtures. Int. J. Mol. Sci. 2020, 21, 403.

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