Thermophysical properties of glyceline–water mixtures investigated by molecular modelling
文献信息
Jörg Baz, Christoph Held, Jürgen Pleiss, Niels Hansen
The effect of water content on the static and dynamic properties of the deep eutectic solvent glyceline is studied using molecular dynamics (MD) simulations. Static properties are additionally calculated using the PC-SAFT equation of state. Force fields calibrated on water-free glyceline show predictive power for density and water activity over the entire composition range. In contrast, the PC-SAFT approach using pseudo one-component or two-component modelling strategies performed better for the density or the water activity, respectively. The MD simulations show that at low water content, the hydrogen-bond network between glycerol molecules as well as between glycerol and the cholinium cation is hardly affected by the water molecules while at higher water content, glycerol–glycerol hydrogen bonds are replaced by glycerol–water hydrogen bonds indicating the formation of an aqueous solution accompanied by a strong decrease of the shear viscosity. At the same time, the thermodynamic activity of water increases such that the MD simulations are able to guide the optimal composition with respect to requirements in biocatalytic applications such as low viscosity and low water activity. The combined application of PC-SAFT to efficiently predict static properties and molecular dynamics simulations to predict static and dynamic properties offers a powerful framework in solvent design applications.
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Physical Chemistry Chemical Physics

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.














