A mathematical model for analyzing the elasticity, viscosity, and failure of soft tissue: comparison of native and decellularized porcine cardiac extracellular matrix for tissue engineering
The clinical success of tissue-engineered constructs commonly requires mechanical properties that closely mimic those of the human tissue. Determining the viscoelastic properties of such biomaterials and the factors governing their failure profiles, however, has proven challenging, although collecti...
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sg-ntu-dr.10356-1043832023-07-14T15:46:51Z A mathematical model for analyzing the elasticity, viscosity, and failure of soft tissue: comparison of native and decellularized porcine cardiac extracellular matrix for tissue engineering Bronshtein, Tomer Au-Yeung, Gigi Chi Ting Sarig, Udi Nguyen, Evelyne Bao-Vi Machluf, Marcelle Mhaisalkar, Priyadarshini S. Boey, Freddy Yin Chiang Venkatraman, Subbu S. School of Materials Science & Engineering DRNTU::Science::Medicine::Tissue engineering The clinical success of tissue-engineered constructs commonly requires mechanical properties that closely mimic those of the human tissue. Determining the viscoelastic properties of such biomaterials and the factors governing their failure profiles, however, has proven challenging, although collecting extensive data regarding their tensile behavior is straightforward. The easily calculated Young's modulus remains the most reported mechanical measure, regardless of its limitations, even though single-relaxation-time (SRT) models can provide much more information, which remain scarce due to a lack of manageable tools for implementing these models. We developed an easy-to-use algorithm for applying the Zener SRT model and determining the elastic moduli, viscosity, and failure profiles of materials under different mechanical tests in a user-independent manner. The algorithm was validated on the data resulting from tensile tests on native and decellularized porcine cardiac tissue, previously suggested as a promising scaffold material for cardiac tissue engineering. This analysis yields new and more accurate measurements such as the elastic moduli and viscosity, the model's relaxation time, and information on the factors governing the materials' failure profiles. These measurements indicate that the viscoelasticity and strength of the decellularized acellular extracellular matrix (ECM) are similar to those of native tissue, although its elasticity and apparent viscosity are higher. Nonetheless, reseeding and culturing the ECM with mesenchymal stem cells was shown to partially restore the mechanical properties lost after decellularization. We propose this algorithm as a platform for soft-tissue analysis that can provide comparable and unbiased measures for characterizing viscoelastic biomaterials commonly used in tissue engineering. Published Version 2013-10-30T01:33:35Z 2019-12-06T21:31:43Z 2013-10-30T01:33:35Z 2019-12-06T21:31:43Z 2013 2013 Journal Article Bronshtein, T., Au-Yeung, G. C. T., Sarig, U., Nguyen, E. B.-V., Mhaisalkar, P. S., Boey, F. Y. C., et al. (2013). A mathematical model for analyzing the elasticity, viscosity, and failure of soft tissue: comparison of native and decellularized porcine cardiac extracellular matrix for tissue engineering. Tissue engineering part C: methods, 19(8), 620-630. https://hdl.handle.net/10356/104383 http://hdl.handle.net/10220/17013 10.1089/ten.tec.2012.0387 23265414 en Tissue engineering part C: methods © 2013 Mary Ann Liebert, Inc. This paper was published in Tissue Engineering - Part A and is made available as an electronic reprint (preprint) with permission of Mary Ann Liebert, Inc. The paper can be found at the following official DOI: [http://dx.doi.org/10.1089/ten.tec.2012.0387]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
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DRNTU::Science::Medicine::Tissue engineering Bronshtein, Tomer Au-Yeung, Gigi Chi Ting Sarig, Udi Nguyen, Evelyne Bao-Vi Machluf, Marcelle Mhaisalkar, Priyadarshini S. Boey, Freddy Yin Chiang Venkatraman, Subbu S. A mathematical model for analyzing the elasticity, viscosity, and failure of soft tissue: comparison of native and decellularized porcine cardiac extracellular matrix for tissue engineering |
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The clinical success of tissue-engineered constructs commonly requires mechanical properties that closely mimic those of the human tissue. Determining the viscoelastic properties of such biomaterials and the factors governing their failure profiles, however, has proven challenging, although collecting extensive data regarding their tensile behavior is straightforward. The easily calculated Young's modulus remains the most reported mechanical measure, regardless of its limitations, even though single-relaxation-time (SRT) models can provide much more information, which remain scarce due to a lack of manageable tools for implementing these models. We developed an easy-to-use algorithm for applying the Zener SRT model and determining the elastic moduli, viscosity, and failure profiles of materials under different mechanical tests in a user-independent manner. The algorithm was validated on the data resulting from tensile tests on native and decellularized porcine cardiac tissue, previously suggested as a promising scaffold material for cardiac tissue engineering. This analysis yields new and more accurate measurements such as the elastic moduli and viscosity, the model's relaxation time, and information on the factors governing the materials' failure profiles. These measurements indicate that the viscoelasticity and strength of the decellularized acellular extracellular matrix (ECM) are similar to those of native tissue, although its elasticity and apparent viscosity are higher. Nonetheless, reseeding and culturing the ECM with mesenchymal stem cells was shown to partially restore the mechanical properties lost after decellularization. We propose this algorithm as a platform for soft-tissue analysis that can provide comparable and unbiased measures for characterizing viscoelastic biomaterials commonly used in tissue engineering. |
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School of Materials Science & Engineering |
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School of Materials Science & Engineering Bronshtein, Tomer Au-Yeung, Gigi Chi Ting Sarig, Udi Nguyen, Evelyne Bao-Vi Machluf, Marcelle Mhaisalkar, Priyadarshini S. Boey, Freddy Yin Chiang Venkatraman, Subbu S. |
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Article |
author |
Bronshtein, Tomer Au-Yeung, Gigi Chi Ting Sarig, Udi Nguyen, Evelyne Bao-Vi Machluf, Marcelle Mhaisalkar, Priyadarshini S. Boey, Freddy Yin Chiang Venkatraman, Subbu S. |
author_sort |
Bronshtein, Tomer |
title |
A mathematical model for analyzing the elasticity, viscosity, and failure of soft tissue: comparison of native and decellularized porcine cardiac extracellular matrix for tissue engineering |
title_short |
A mathematical model for analyzing the elasticity, viscosity, and failure of soft tissue: comparison of native and decellularized porcine cardiac extracellular matrix for tissue engineering |
title_full |
A mathematical model for analyzing the elasticity, viscosity, and failure of soft tissue: comparison of native and decellularized porcine cardiac extracellular matrix for tissue engineering |
title_fullStr |
A mathematical model for analyzing the elasticity, viscosity, and failure of soft tissue: comparison of native and decellularized porcine cardiac extracellular matrix for tissue engineering |
title_full_unstemmed |
A mathematical model for analyzing the elasticity, viscosity, and failure of soft tissue: comparison of native and decellularized porcine cardiac extracellular matrix for tissue engineering |
title_sort |
mathematical model for analyzing the elasticity, viscosity, and failure of soft tissue: comparison of native and decellularized porcine cardiac extracellular matrix for tissue engineering |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/104383 http://hdl.handle.net/10220/17013 |
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1772826093354483712 |