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Characterization of non-linear mechanical behavior of the cornea
The objective of this study was to evaluate which hyperelastic model could best describe the non-linear mechanical behavior of the cornea, in order to characterize the capability of the non-linear model parameters to discriminate structural changes in a damaged cornea. Porcine corneas were used, est...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360609/ https://www.ncbi.nlm.nih.gov/pubmed/32665558 http://dx.doi.org/10.1038/s41598-020-68391-7 |
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author | Ashofteh Yazdi, A. Melchor, J. Torres, J. Faris, I. Callejas, A. Gonzalez-Andrades, M. Rus, G. |
author_facet | Ashofteh Yazdi, A. Melchor, J. Torres, J. Faris, I. Callejas, A. Gonzalez-Andrades, M. Rus, G. |
author_sort | Ashofteh Yazdi, A. |
collection | PubMed |
description | The objective of this study was to evaluate which hyperelastic model could best describe the non-linear mechanical behavior of the cornea, in order to characterize the capability of the non-linear model parameters to discriminate structural changes in a damaged cornea. Porcine corneas were used, establishing two different groups: control (non-treated) and NaOH-treated (damaged) corneas (n = 8). NaOH causes a chemical burn to the corneal tissue, simulating a disease associated to structural damage of the stromal layer. Quasi-static uniaxial tensile tests were performed in nasal-temporal direction immediately after preparing corneal strips from the two groups. Three non-linear hyperelastic models (i.e. Hamilton-Zabolotskaya model, Ogden model and Mooney-Rivlin model) were fitted to the stress–strain curves obtained in the tensile tests and statistically compared. The corneas from the two groups showed a non-linear mechanical behavior that was best described by the Hamilton-Zabolotskaya model, obtaining the highest coefficient of determination (R(2) > 0.95). Moreover, Hamilton-Zabolotskaya model showed the highest discriminative capability of the non-linear model parameter (Parameter A) for the tissue structural changes between the two sample groups (p = 0.0005). The present work determines the best hyperelastic model with the highest discriminative capability in description of the non-linear mechanical behavior of the cornea. |
format | Online Article Text |
id | pubmed-7360609 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73606092020-07-16 Characterization of non-linear mechanical behavior of the cornea Ashofteh Yazdi, A. Melchor, J. Torres, J. Faris, I. Callejas, A. Gonzalez-Andrades, M. Rus, G. Sci Rep Article The objective of this study was to evaluate which hyperelastic model could best describe the non-linear mechanical behavior of the cornea, in order to characterize the capability of the non-linear model parameters to discriminate structural changes in a damaged cornea. Porcine corneas were used, establishing two different groups: control (non-treated) and NaOH-treated (damaged) corneas (n = 8). NaOH causes a chemical burn to the corneal tissue, simulating a disease associated to structural damage of the stromal layer. Quasi-static uniaxial tensile tests were performed in nasal-temporal direction immediately after preparing corneal strips from the two groups. Three non-linear hyperelastic models (i.e. Hamilton-Zabolotskaya model, Ogden model and Mooney-Rivlin model) were fitted to the stress–strain curves obtained in the tensile tests and statistically compared. The corneas from the two groups showed a non-linear mechanical behavior that was best described by the Hamilton-Zabolotskaya model, obtaining the highest coefficient of determination (R(2) > 0.95). Moreover, Hamilton-Zabolotskaya model showed the highest discriminative capability of the non-linear model parameter (Parameter A) for the tissue structural changes between the two sample groups (p = 0.0005). The present work determines the best hyperelastic model with the highest discriminative capability in description of the non-linear mechanical behavior of the cornea. Nature Publishing Group UK 2020-07-14 /pmc/articles/PMC7360609/ /pubmed/32665558 http://dx.doi.org/10.1038/s41598-020-68391-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ashofteh Yazdi, A. Melchor, J. Torres, J. Faris, I. Callejas, A. Gonzalez-Andrades, M. Rus, G. Characterization of non-linear mechanical behavior of the cornea |
title | Characterization of non-linear mechanical behavior of the cornea |
title_full | Characterization of non-linear mechanical behavior of the cornea |
title_fullStr | Characterization of non-linear mechanical behavior of the cornea |
title_full_unstemmed | Characterization of non-linear mechanical behavior of the cornea |
title_short | Characterization of non-linear mechanical behavior of the cornea |
title_sort | characterization of non-linear mechanical behavior of the cornea |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360609/ https://www.ncbi.nlm.nih.gov/pubmed/32665558 http://dx.doi.org/10.1038/s41598-020-68391-7 |
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