Clustering of water molecules in aqueous solutions: Effect of water–solute interaction

Literature Information

Publication Date 2004-01-23
DOI 10.1039/B314474G
Impact Factor 3.676
Authors

Alla Oleinikova


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Abstract

Clustering of water molecules in partially miscible aqueous solutions (with immiscibility gap) was studied by Monte Carlo (MC) simulations. Liquid–liquid coexistence curves were determined by MC simulations in the Gibbs ensemble. Water cluster size distributions were studied in the organic-rich one-phase region. At the coexistence curve we observe the broadest distribution of cluster sizes in agreement with the Fisher droplet model. There are no percolating water clusters in aqueous mixtures of solutions of hydrophobic particles in the studied concentration range. In contrast, in an aqueous solution of hydrophilic solutes crossing the coexistence curve approximately coincides with the 3D percolation threshold of water. An infinite water cluster (percolating cluster or droplet of the second phase) appears in an aqueous solution, when the average number of water–water H-bonds per molecule exceeds ca. 1.6.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 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.

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