The effects of surface topography of nanostructure arrays on cell adhesion

Literature Information

Publication Date 2018-08-16
DOI 10.1039/C8CP03538E
Impact Factor 3.676
Authors

Jing Zhou, Xiaowei Zhang, Jizheng Sun, Zechun Dang, Jinqi Li, Xinlei Li, Tongsheng Chen


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Abstract

Nanostructure arrays have drawn much attention and are promising as new biomaterials in the field of biomedicine. In recent years, numerous experimental studies on the cell behavior of nanostructured arrays (NSs) have been published, describing a wide variety of experimental results. But there are only a few theoretical analyses that elucidate the mechanisms of interactions between cells and nanostructures. Here we present a quantitative thermodynamic model to elucidate the effects of surface topography of nanostructure arrays on cell adhesion. Based on the established model, we studied the equilibrium state of cell adhesion by analyzing the change in free energy during the adhesion process. Theoretical results showed that cell adhesion mode is actually determined by the balance between adhesion energy and deformation energy of the cell membrane. According to the calculated results, a phase diagram of the cell adhesion has been constructed, which can clarify the interrelated effects of the radius and surface distribution density of nanopillars. We can identify the relation between the surface topography of nanostructure arrays and the cell adhesion mode from the phase.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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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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