A sensitivity analysis for tissue development by varying model parameters and input variables

被引:0
作者
Paim, Agata [1 ]
Tessaro, Isabel C. [1 ]
Pranke, Patricia [2 ,3 ]
Cardozo, Nilo S. M. [1 ]
机构
[1] Univ Fed Rio Grande do Sul, Dept Chem Engn, R Engn Luis Englert S-N, BR-90040040 Porto Alegre, RS, Brazil
[2] Univ Fed Rio Grande do Sul, Fac Pharm, Av Ipiranga 2752, BR-90610000 Porto Alegre, RS, Brazil
[3] Stem Cell Res Inst, Porto Alegre, RS, Brazil
关键词
computational model; tissue engineering; sensitivity analysis; mass transport; cell growth; CELL-GROWTH; RISK-ASSESSMENT; STEM-CELLS; PERFUSION; SCAFFOLD; FLOW; TRANSPORT; OXYGEN; DIFFERENTIATION; PROLIFERATION;
D O I
10.1002/cjce.23171
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Phenomenological models can help in the study of the relation between mass transport and cell growth in three-dimensional porous scaffolds, which is one of the main challenges of tissue engineering. Thus, using a model for cell proliferation and glucose diffusion and consumption, the dimensionless parameters and input variables were varied to determinate those which affect the model output the most. The simulations were performed with the software OpenFOAM, and the results were compared through a sensitivity analysis for the parameters. It was observed that the model is more sensitive to the dimensionless parameters related to cell proliferation, death, and nutrient uptake, and that dimensionless initial glucose concentration and scaffold porosity had a higher impact on cell volume fraction and on dimensionless glucose concentration. When compared to data from experimental studies, the computational results showed that the studied model is capable of representing the phenomena involved in tissue development in vitro.
引用
收藏
页码:2334 / 2341
页数:8
相关论文
共 56 条
[51]   Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates [J].
Sobol, IM .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2001, 55 (1-3) :271-280
[52]   A thin-walled polydimethylsiloxane bioreactor for high-density hepatocyte sandwich culture [J].
Tan, Guo-Dong Sean ;
Toh, Guoyang William ;
Birgersson, Erik ;
Robens, Jeffrey ;
van Noort, Danny ;
Leo, Hwa Liang .
BIOTECHNOLOGY AND BIOENGINEERING, 2013, 110 (06) :1663-1673
[53]   Computational Modeling of 3D Tumor Growth and Angiogenesis for Chemotherapy Evaluation [J].
Tang, Lei ;
van de Ven, Anne L. ;
Guo, Dongmin ;
Andasari, Vivi ;
Cristini, Vittorio ;
Li, King C. ;
Zhou, Xiaobo .
PLOS ONE, 2014, 9 (01)
[54]   Computational modeling of flow-induced shear stresses within 3D salt-leached porous scaffolds imaged via micro-CT [J].
Voronov, Roman ;
VanGordon, Samuel ;
Sikavitsas, Vassilios I. ;
Papavassiliou, Dimitrios V. .
JOURNAL OF BIOMECHANICS, 2010, 43 (07) :1279-1286
[55]   Calculation of effective diffusivities for biofilms and tissues [J].
Wood, BD ;
Quintard, M ;
Whitaker, S .
BIOTECHNOLOGY AND BIOENGINEERING, 2002, 77 (05) :495-516
[56]   On the sensitivity of entropy weight to sample statistics in assessing water quality: statistical analysis based on large stochastic samples [J].
Wu, Jianhua ;
Li, Peiyue ;
Qian, Hui ;
Chen, Jie .
ENVIRONMENTAL EARTH SCIENCES, 2015, 74 (03) :2185-2195