Structure–property relationships of cell clusters in biotissues: 2D analysis
文献情報
Erhu Zhang, Minggang Xia, Lei Zhang, Zhiqi Tian, Jianlin Liu, Shengli Zhang
Gaining insight into the relationships between the self-organized cell structures and the properties of biotissues is helpful for revealing the function of biomaterials and its designing principle. However, the traditionally used random foam model neglects several important details of the frameworks of cell clusters resulting in incomplete conclusions. Herein, we use a more complete model, the cell adhesion model, to investigate the mechanical and morphological properties of the two-dimensional (2D) dry cell foams. Since these 2D structures are formed by cell adhesion, the system can reach equilibrium through minimizing free energy. Under the equilibrium conditions without volume constraint, shape equations for highly symmetrical structures are derived, and the analytical results of the corresponding mechanical parameters, such as the Young's modulus, bulk modulus and failure strength, are obtained. Moreover, with volume constraint, numerical simulation method is applied to study the complex shapes and obtain several stable multicellular structures. Symmetry breaking caused by the volume change is also observed. Moreover, typical periodic shapes and the corresponding phase transformations are also explored. Our study provides a new potential method to bridge the microstructure and macro-mechanical parameters of biotissues. The results are also useful for understanding the formation mechanism of biotissue structures.
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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.










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