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Related Experiment Videos

Modeling evaluation of the fluid-dynamic microenvironment in tissue-engineered constructs: a micro-CT based model.

Margherita Cioffi1, Federica Boschetti, Manuela Teresa Raimondi

  • 1Laboratory of Biological Structure Mechanics, Dipartimento di Bioingegneria, Politecnico di Milano, Italy. margherita.cioffi@biomed.polimi.it

Biotechnology and Bioengineering
|October 15, 2005
PubMed
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This study models fluid flow in engineered cartilage scaffolds to understand how mechanical shear affects cell growth. Quantifying shear stress is key to improving tissue-engineered cartilage in vitro.

Area of Science:

  • Biomaterials Engineering
  • Tissue Engineering
  • Computational Fluid Dynamics

Background:

  • Cartilage naturally remodels in response to mechanical stress.
  • Mechanical stimulation, particularly fluid shear, can enhance chondrogenesis in engineered cartilage.
  • Quantifying the hydrodynamic environment is crucial for studying cellular responses to shear in 3D engineered systems.

Purpose of the Study:

  • To develop and validate a computational model for simulating culture medium flow through porous scaffolds.
  • To quantify the shear stress experienced by cells within tissue-engineered cartilage constructs.
  • To compare computational fluid dynamics (CFD) results with simplified and analytical models.

Main Methods:

  • Reconstruction of scaffold micro-geometry from 250 micro-computed tomography (micro-CT) images.

Related Experiment Videos

  • Development of a computational model for fluid flow simulation through the 3D scaffold microstructure.
  • Analysis of fluid dynamic simulations in central portions of the scaffold to determine shear stress values.

    • Main Results:

    • Calculated average, median, and mode shear stress values at scaffold walls: 3.48, 2.90, and 2.45 mPa, respectively.
    • Simulations were performed at a flow rate of 0.5 cm³/min through a 15 mm diameter scaffold with an inlet fluid velocity of 53 µm/s.
    • Comparison of CT-based model predictions with simplified micro-scale and analytical macro-scale porous models.

    Conclusions:

    • The CT-based computational model provides quantitative insights into the hydrodynamic environment of engineered cartilage.
    • These findings aid in understanding the effects of fluid-dynamic shear on cartilage growth modulation.
    • The model serves as a tool to optimize bioreactor conditions for enhanced in vitro tissue growth.