Hydrophobic hydration and anomalous diffusion of elastin in an ethanolic solution

Literature Information

Publication Date 2017-05-03
DOI 10.1039/C7CP01384A
Impact Factor 3.676
Authors

Nisha Pawar, Priyanka Kaushik, H. B. Bohidar


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Abstract

Elastin is an important structural protein that confers elasticity to tissues. It is widely used in the biosynthesis of human elastic tissues and exhibits interesting properties. This study reports an insight into the unusual dispersion and anomalous diffusion of elastin in an ethanolic solution. Due to its complex hydrophobic structure, its dispersibility was found to be sensitive towards the hydrophobicity of the solvent. Electrophoresis measurements (zeta-potential data) revealed that its net polarity changed from an anionic to a cationic state with the decreasing solvent hydrophobicity (ethanol content in the solvent). An interesting transition temperature of ∼297 K was observed above which the hydrophobic interactions among the protein molecules became dominant. Double-layer repulsion between protein molecules competes with attractive hydrophobic interactions and causes molecular self-organization. A DLVO-based theoretical model showed that hydrophobic interactions were facilitated by a binary solvent (ethanol–water), and the repulsive double layer screening provided sufficient energy to overcome the interactions between hydrophobic domains in the protein molecule and allow the self-assembly to occur.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
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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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