Modeling of Cell-Mediated Self-Assembled Colloidal Scaffolds
authors Dias, CS; Custodio, CA; Antunes, GC; da Gama, MMT; Mano, JF; Araujo, NAM
nationality International
journal ACS APPLIED MATERIALS & INTERFACES
author keywords tissue engineering; 3D biocompatible matrices; biocompatibility; implantation; colloidal particles
keywords FIBER DIAMETER; TISSUE; DESIGN; MICROPARTICLES; BIOMATERIALS; PROLIFERATION; ADHESION
abstract A critical step in tissue engineering is the design and synthesis of 3D biocompatible matrices (scaffolds) to support and guide the proliferation of cells and tissue growth. The most existing techniques rely on the processing of scaffolds under controlled conditions and then implanting them in vivo, with questions related to biocompatibility and implantation that are still challenging. As an alternative, it was proposed to assemble the scaffolds in loco through the self-organization of colloidal particles mediated by cells. To overcome the difficulty to test experimentally all the relevant parameters, we propose the use of large-scale numerical simulation as a tool to reach useful predictive information and to interpret experimental results. Thus, in this study, we combine experiments, particle-based simulations, and mean-field calculations to show that, in general, the size of the self-assembled scaffold scales with the cell-to-particle ratio. However, we have found an optimal value of this ratio, for which the size of the scaffold is maximal when the cell-cell adhesion is suppressed. These results suggest that the size and structure of the self-assembled scaffolds may be designed by tuning the adhesion between cells in the colloidal suspension.
publisher AMER CHEMICAL SOC
issn 1944-8244
isbn 1944-8252
year published 2020
volume 12
issue 43
beginning page 48321
ending page 48328
digital object identifier (doi) 10.1021/acsami.0c13457
web of science category Nanoscience & Nanotechnology; Materials Science, Multidisciplinary
subject category Science & Technology - Other Topics; Materials Science
unique article identifier WOS:000586868400009
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journal analysis (jcr 2019):
journal impact factor 8.758
5 year journal impact factor 8.901
category normalized journal impact factor percentile 86.33
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