Literature DB >> 20303992

Theoretical modeling of fluid flow in cellular biological media: an overview.

George E Kapellos1, Terpsichori S Alexiou, Alkiviades C Payatakes.   

Abstract

Fluid-structure interactions strongly affect, in multiple ways, the structure and function of cellular biological media, such as tissues, biofilms, and cell-entrapping gels. Mathematical models and computer simulation are important tools in advancing our understanding of these interactions, interpreting experimental observations, and designing novel processes and biomaterials. In this paper, we present a comprehensive survey and highlight promising directions of future research on theoretical modeling of momentum transport in cellular biological media with focus on the formulation of governing equations and the calculation of material properties both theoretically and experimentally. With regard to the governing equations, significant work has been done with single-scale approaches (e.g. mixture theory), whereas traditional upscaling methods (e.g. homogenization, volume averaging) or multiscale equation-free approaches have received limited attention. The underlying concepts, strengths, and limitations of each approach, as well as examples of use in the field of biomaterials are presented. The current status of knowledge regarding the dependence of macroscopic material properties on the volume fractions, geometry, and intrinsic material properties of the constituent phases (cells, extracellular matrix and fluid) is also presented. The observation of conformational changes that occur at finer levels of the structural hierarchy during momentum transport, the correlation of macro-properties with geometrical and topological features of materials with heterogeneous and anisotropic microstructure, as well as the determination of dynamic material properties are among important challenges for future research. Copyright 2010 Elsevier Inc. All rights reserved.

Mesh:

Year:  2010        PMID: 20303992     DOI: 10.1016/j.mbs.2010.03.003

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  6 in total

1.  TISSUE ENGINEERING PERFUSABLE CANCER MODELS.

Authors:  E L Fong; M Santoro; M C Farach-Carson; F K Kasper; A G Mikos
Journal:  Curr Opin Chem Eng       Date:  2014-02       Impact factor: 5.163

2.  In vivo mimicking model for solid tumor towards hydromechanics of tissue deformation and creation of necrosis.

Authors:  Bibaswan Dey; G P Raja Sekhar; Sourav Kanti Mukhopadhyay
Journal:  J Biol Phys       Date:  2018-05-28       Impact factor: 1.365

3.  Biofilm imaging in porous media by laboratory X-Ray tomography: Combining a non-destructive contrast agent with propagation-based phase-contrast imaging tools.

Authors:  Maxence Carrel; Mario A Beltran; Verónica L Morales; Nicolas Derlon; Eberhard Morgenroth; Rolf Kaufmann; Markus Holzner
Journal:  PLoS One       Date:  2017-07-21       Impact factor: 3.240

4.  Cardiopulmonary responses to maximal aerobic exercise in patients with cystic fibrosis.

Authors:  Craig A Williams; Kyle C A Wedgwood; Hossein Mohammadi; Katie Prouse; Owen W Tomlinson; Krasimira Tsaneva-Atanasova
Journal:  PLoS One       Date:  2019-02-13       Impact factor: 3.752

5.  Incorporating Cellular Stochasticity in Solid-Fluid Mixture Biofilm Models.

Authors:  Ana Carpio; Elena Cebrián
Journal:  Entropy (Basel)       Date:  2020-02-06       Impact factor: 2.524

6.  Low-Field Nuclear Magnetic Resonance Characteristics of Biofilm Development Process.

Authors:  Yajun Zhang; Yusheng Lin; Xin Lv; Aoshu Xu; Caihui Feng; Jun Lin
Journal:  Microorganisms       Date:  2021-11-29
  6 in total

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