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Mechanical Characteristics of SPG-178 Hydrogels: Optimizing Viscoelastic Properties through Microrheology and Response Surface Methodology
BACKGROUND: SApeptides have growing applications in tissue engineering and regenerative medicine. The application of SApeptide-based hydrogels depends strongly on their viscoelastic properties. Optimizing the properties is of importance in tuning the characteristics of the hydrogels for a variety of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pasteur Institute of Iran
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6984709/ https://www.ncbi.nlm.nih.gov/pubmed/31677611 http://dx.doi.org/10.29252/ibj.24.2.110 |
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author | Seyedkarimi, Mansooreh-Sadat Mirzadeh, Hamid Mohammadi, Aliasghar Bagheri-Khoulenjani, Shadab |
author_facet | Seyedkarimi, Mansooreh-Sadat Mirzadeh, Hamid Mohammadi, Aliasghar Bagheri-Khoulenjani, Shadab |
author_sort | Seyedkarimi, Mansooreh-Sadat |
collection | PubMed |
description | BACKGROUND: SApeptides have growing applications in tissue engineering and regenerative medicine. The application of SApeptide-based hydrogels depends strongly on their viscoelastic properties. Optimizing the properties is of importance in tuning the characteristics of the hydrogels for a variety of applications. METHODS: In this study, we employed statistical modeling, conducted with the RSM and particle tracking microrheology, to investigate the effects of self-assembling SPG-178 peptide and added NaCl salt concentrations and milieu type (DI water or blood serum) on the viscoelastic properties of SPG-178 hydrogels. A central composite RSM model was employed for finding the optimum value of the parameters to achieve the highest storage modulus and the lowest tan δ. RESULTS: Viscoelastic properties of each sample, including storage modulus, loss modulus, and tan δ, were determined. Storage modulus and tan δ were modeled, accounting for the impact of the SPG-178 peptide and NaCl concentrations and milieu type on the viscoelastic properties. It was found that the SPG-178 hydrogel storage modulus was positively influenced by the SPG-178 peptide concentration and the serum. CONCLUSION: A combination of microrheology and RSM is a useful test method for statistical modeling and analysis of rheological behavior of solid-like gels, which could be applied in various biomedical applications such as hemostasis. |
format | Online Article Text |
id | pubmed-6984709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Pasteur Institute of Iran |
record_format | MEDLINE/PubMed |
spelling | pubmed-69847092020-03-01 Mechanical Characteristics of SPG-178 Hydrogels: Optimizing Viscoelastic Properties through Microrheology and Response Surface Methodology Seyedkarimi, Mansooreh-Sadat Mirzadeh, Hamid Mohammadi, Aliasghar Bagheri-Khoulenjani, Shadab Iran Biomed J Full Length BACKGROUND: SApeptides have growing applications in tissue engineering and regenerative medicine. The application of SApeptide-based hydrogels depends strongly on their viscoelastic properties. Optimizing the properties is of importance in tuning the characteristics of the hydrogels for a variety of applications. METHODS: In this study, we employed statistical modeling, conducted with the RSM and particle tracking microrheology, to investigate the effects of self-assembling SPG-178 peptide and added NaCl salt concentrations and milieu type (DI water or blood serum) on the viscoelastic properties of SPG-178 hydrogels. A central composite RSM model was employed for finding the optimum value of the parameters to achieve the highest storage modulus and the lowest tan δ. RESULTS: Viscoelastic properties of each sample, including storage modulus, loss modulus, and tan δ, were determined. Storage modulus and tan δ were modeled, accounting for the impact of the SPG-178 peptide and NaCl concentrations and milieu type on the viscoelastic properties. It was found that the SPG-178 hydrogel storage modulus was positively influenced by the SPG-178 peptide concentration and the serum. CONCLUSION: A combination of microrheology and RSM is a useful test method for statistical modeling and analysis of rheological behavior of solid-like gels, which could be applied in various biomedical applications such as hemostasis. Pasteur Institute of Iran 2020-03 2019-11-03 /pmc/articles/PMC6984709/ /pubmed/31677611 http://dx.doi.org/10.29252/ibj.24.2.110 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Length Seyedkarimi, Mansooreh-Sadat Mirzadeh, Hamid Mohammadi, Aliasghar Bagheri-Khoulenjani, Shadab Mechanical Characteristics of SPG-178 Hydrogels: Optimizing Viscoelastic Properties through Microrheology and Response Surface Methodology |
title | Mechanical Characteristics of SPG-178 Hydrogels: Optimizing Viscoelastic Properties through Microrheology and Response Surface Methodology |
title_full | Mechanical Characteristics of SPG-178 Hydrogels: Optimizing Viscoelastic Properties through Microrheology and Response Surface Methodology |
title_fullStr | Mechanical Characteristics of SPG-178 Hydrogels: Optimizing Viscoelastic Properties through Microrheology and Response Surface Methodology |
title_full_unstemmed | Mechanical Characteristics of SPG-178 Hydrogels: Optimizing Viscoelastic Properties through Microrheology and Response Surface Methodology |
title_short | Mechanical Characteristics of SPG-178 Hydrogels: Optimizing Viscoelastic Properties through Microrheology and Response Surface Methodology |
title_sort | mechanical characteristics of spg-178 hydrogels: optimizing viscoelastic properties through microrheology and response surface methodology |
topic | Full Length |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6984709/ https://www.ncbi.nlm.nih.gov/pubmed/31677611 http://dx.doi.org/10.29252/ibj.24.2.110 |
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