Journal article
A tracer metric numerical model for predicting tortuosity factors in three-dimensional porous tissue scaffolds
Computer methods and programs in biomedicine, Vol.87(1), pp.21-27
2007
PMID: 17532090
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
One of the critical functions of a tissue-engineered construct is to be able to provide adequate nutrient and oxygen supply into the interior of the construct. An insufficient supply will lead to slower cellular proliferation rates and eventual apoptosis. The supply of the nutrients is largely governed by the transport properties of the construct which in turn is dependent on the porosity, tortuosity and surface chemistry of the tissue construct. The design and fabrication of scaffolds with tailored properties is thus a crucial step in the growth of tissue within their host environment. This paper discusses the development of a numerical characterization technique to measure the three-dimensional tortuosity factors for any given interconnected porous design. Tortuosity factors are obtained in the three orthogonal principal directions for several candidate unit cell architectures. The proposed numerical technique has been validated with models of known tortuosity. The developed technique will provide a basis for the study of transport properties of the designed scaffold and its effect on cellular function and response through the development of dynamic culture bioreactors.
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Details
- Title
- A tracer metric numerical model for predicting tortuosity factors in three-dimensional porous tissue scaffolds
- Creators
- B. Starly - University of OklahomaE. Yildirim - Drexel UniversityW. Sun - Drexel University
- Publication Details
- Computer methods and programs in biomedicine, Vol.87(1), pp.21-27
- Publisher
- Elsevier Ireland Ltd
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Identifiers
- 991019167699804721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods
- Engineering, Biomedical
- Medical Informatics