ArticleComputers in biology and medicine2018
Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue.
Article in Computers in biology and medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- An Insight into Perfusion Anisotropy within Solid Murine Lung Cancer Tumors.Pharmaceutics · 2024Article
- Article
- Predictive Design and Analysis of Drug Transport by Multiscale Computational Models Under Uncertainty.Pharmaceutical research · 2023Review
- Numerical Analysis of the Influence of Porosity and Pore Geometry on Functionality of Scaffolds Designated for Orthopedic Regenerative Medicine.Materials (Basel, Switzerland) · 2020Article
- Correction function for accuracy improvement of the Composite Smeared Finite Element for diffusive transport in biological tissue systems.Computer methods in applied mechanics and engineering · 2018Article
- Multiscale smeared finite element model for mass transport in biological tissue: From blood vessels to cells and cellular organelles.Computers in biology and medicine · 2018Article
- A composite smeared finite element for mass transport in capillary systems and biological tissue.Computer methods in applied mechanics and engineering · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
In diffusion governed by Fick's law, the diffusion coefficient represents the phenomenological material parameter and is, in general, a constant. In certain cases of diffusion through porous media, the diffusion coefficient can be variable (i.e. non-constant) due to the complex process of solute displacements within microstructure, since these displacements depend on porosity, internal microstructural geometry, size of the transported particles, chemical nature, and physical interactions between the diffusing substance and the microstructural surroundings. In order to provide a simple and general approach of determining the diffusion coefficient for diffusion through porous media, we have introduced mass release curves as the constitutive curves of diffusion. The mass release curve for a selected direction represents cumulative mass (per surface area) passed in that direction through a small reference volume, in terms of time. We have developed a methodology, based on numerical Finite Element (FE) and Molecular Dynamics (MD) methods, to determine simple mass release curves of solutes through complex media from which we calculate the diffusion coefficient. The diffusion models take into account interactions between solute particles and microstructural surfaces, as well as hydrophobicity (partitioning). We illustrate the effectiveness of our approach on several examples of complex composite media, including an imaging-based analysis of diffusion through pancreatic cancer tissue. The presented work offers an insight into the role of mass release curves in describing diffusion through porous media in general, and further in case of complex composite media such as biological tissue.
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Registered trials
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