A computational model for biomass growth simulation in tissue engineering

被引:3
|
作者
Causin, Paola [1 ]
Sacco, Riccardo [2 ]
机构
[1] Univ Milan, Dipartimento Matemat F Enrigues, Milan, Italy
[2] Politecn Milan, Dipartimento Matemat F Brioschi, Milan, Italy
关键词
Tissue engineering; artificial cartilage; computational model; multi-physics and multi-scale problems; interstitial perfusion; bioreactor; fluid dynamics; mass transport; numerical simulation; finite element; method;
D O I
10.1685/journal.caim.370
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This article deals with computational modeling of tissue growth under interstitial perfusion inside a polymeric scaffold-based bioreactor. The mathematical model is the result of the application of the volume averaging technique to the fluid, nutrient and cellular subsystems, and is capable to account for the temporal evolution of local matrix porosity, as the sum of a time-invariant component (the porosity of the uncellularized polymer scaffold) and a time-dependent component (due to the growing biomass). The solution algorithm is based on a block Gauss-Seidel iteration procedure that allows to reduce each time level of the simulated culture period into the successive solution of linearized subproblems, whose numerical approximation is carried out using stable and convergent finite elements. Numerical simulations are carried out to investigate the role of the design porosity of the scaffold on nutrient delivery and biomass production
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Computational simulation of a magnetic microactuator for tissue engineering applications
    Keyes, Joseph
    Junkin, Michael
    Wong, Pak Kin
    Geest, Jonathan P. Vande
    BIOMEDICAL MICRODEVICES, 2009, 11 (06) : 1259 - 1267
  • [2] Computational simulation of a magnetic microactuator for tissue engineering applications
    Joseph Keyes
    Michael Junkin
    Pak Kin Wong
    Jonathan P. Vande Geest
    Biomedical Microdevices, 2009, 11 : 1259 - 1267
  • [3] Computational Modelling and Simulation of Scaffolds for Bone Tissue Engineering
    N. Musthafa, Haja-Sherief
    Walker, Jason
    Domagala, Mariusz
    COMPUTATION, 2024, 12 (04)
  • [4] A poroelastic mixture model of mechanobiological processes in biomass growth: theory and application to tissue engineering
    Riccardo Sacco
    Paola Causin
    Chiara Lelli
    Manuela T. Raimondi
    Meccanica, 2017, 52 : 3273 - 3297
  • [5] A poroelastic mixture model of mechanobiological processes in biomass growth: theory and application to tissue engineering
    Sacco, Riccardo
    Causin, Paola
    Lelli, Chiara
    Raimondi, Manuela T.
    MECCANICA, 2017, 52 (14) : 3273 - 3297
  • [6] Applications of Computational Modelling and Simulation of Porous Medium in Tissue Engineering
    German, Carrie L.
    Madihally, Sundararajan V.
    COMPUTATION, 2016, 4 (01):
  • [7] Simulation of Cell Growth and Diffusion in Tissue Engineering Scaffolds
    Ho, Szu-Ying
    Yu, Ming-Han
    Chung, C. A.
    13TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, VOLS 1-3, 2009, 23 (1-3): : 1745 - 1748
  • [8] COMPUTATIONAL SIMULATION OF A MEMS-BASED MICROACTUATOR FOR TISSUE ENGINEERING APPLICATIONS
    Keyes, Joseph
    Junkin, Michael
    Wong, Pak Kin
    Geest, Jonathan P. Vande
    PROCEEDINGS OF THE ASME SUMMER BIOENGINEERING CONFERENCE 2008, PTS A AND B, 2009, : 571 - 572
  • [9] Computational technologies in tissue engineering
    Almeida, H. A.
    Bartolo, P. J.
    MODELLING IN MEDICINE AND BIOLOGY X, 2013, 17 : 117 - 129
  • [10] Parallelization of a Bio-Inspired Computational Model for the Simulation of 3-D Multicellular Tissue Growth
    Ben Youssef, Belgacem
    COMPLEX ADAPTIVE SYSTEMS: EMERGING TECHNOLOGIES FOR EVOLVING SYSTEMS: SOCIO-TECHNICAL, CYBER AND BIG DATA, 2013, 20 : 391 - 398