Water-mediated aggregation of 2-butoxyethanol

文献情報

出版日 2016-08-25

DOI 10.1039/C6CP04379H

インパクトファクター 3.676

著者

Shannon R. Pattenaude, Kenji Mochizuki, Dor Ben-Amotz

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要旨

Water plays an important role in mediating hydrophobic interactions, and yet open questions remain regarding the magnitude, and even the sign, of water-mediated contributions to the potential of mean force between a pair of oily molecules dissolved in water. Here, the water-mediated interaction between 2-butoxyethanol (BE) molecules dissolved in water is quantified using Raman multivariate curve resolution (Raman-MCR), molecular dynamics (MD) simulations, and random mixing (RM) predictions. Our results indicate that the number of contacts between BE molecules at concentrations between 0.2 M and 1 M exceeds RM predictions, but is less than some MD predictions. Moreover, the potential of mean force between BE molecules in water has a well depth that is shallower than the direct interaction between 1-ethoxybutane chains in the gas phase, and thus the water-mediated contribution to BE aggregation is repulsive, as it pulls BE molecules apart rather than pushing them together.

掲載誌

Physical Chemistry Chemical Physics

CiteScore: 5.5

自己引用率: 10.3%

年間論文数: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.