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Simulation of defects, flexibility and rupture in biopolymer networks

Networks of biopolymers occur often in nature, and are vulnerable to damage over time. In this work, a coarse grained model of collagen IV molecules is applied in a 2D hexagonal network and the mechanisms by which these networks can rupture are explored. The networks are stretched linearly in order...

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Autores principales: Bailey, Matthew H. J., Wilson, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979039/
https://www.ncbi.nlm.nih.gov/pubmed/35425240
http://dx.doi.org/10.1039/d1ra07262e
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author Bailey, Matthew H. J.
Wilson, Mark
author_facet Bailey, Matthew H. J.
Wilson, Mark
author_sort Bailey, Matthew H. J.
collection PubMed
description Networks of biopolymers occur often in nature, and are vulnerable to damage over time. In this work, a coarse grained model of collagen IV molecules is applied in a 2D hexagonal network and the mechanisms by which these networks can rupture are explored. The networks are stretched linearly in order to study their structural limits and mechanism of rupture over timescale of up to 100 μs. Metrics are developed to track the damage networks suffer over time, and qualitatively analyse ruptures that occur. Further simulations repeatedly stretch the networks sinusoidally to mimic the in vivo strains. Defects of increasing levels of complexity are introduced into an ordered network, and their effect on the rupturing behaviour of the biopolymer networks studied. The effect of introducing holes of varying size in the network, as well as strips of finite width to mimic surgical damage are studied. These demonstrate the importance of the flexibility of the networks to preventing damage.
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spelling pubmed-89790392022-04-13 Simulation of defects, flexibility and rupture in biopolymer networks Bailey, Matthew H. J. Wilson, Mark RSC Adv Chemistry Networks of biopolymers occur often in nature, and are vulnerable to damage over time. In this work, a coarse grained model of collagen IV molecules is applied in a 2D hexagonal network and the mechanisms by which these networks can rupture are explored. The networks are stretched linearly in order to study their structural limits and mechanism of rupture over timescale of up to 100 μs. Metrics are developed to track the damage networks suffer over time, and qualitatively analyse ruptures that occur. Further simulations repeatedly stretch the networks sinusoidally to mimic the in vivo strains. Defects of increasing levels of complexity are introduced into an ordered network, and their effect on the rupturing behaviour of the biopolymer networks studied. The effect of introducing holes of varying size in the network, as well as strips of finite width to mimic surgical damage are studied. These demonstrate the importance of the flexibility of the networks to preventing damage. The Royal Society of Chemistry 2022-01-13 /pmc/articles/PMC8979039/ /pubmed/35425240 http://dx.doi.org/10.1039/d1ra07262e Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Bailey, Matthew H. J.
Wilson, Mark
Simulation of defects, flexibility and rupture in biopolymer networks
title Simulation of defects, flexibility and rupture in biopolymer networks
title_full Simulation of defects, flexibility and rupture in biopolymer networks
title_fullStr Simulation of defects, flexibility and rupture in biopolymer networks
title_full_unstemmed Simulation of defects, flexibility and rupture in biopolymer networks
title_short Simulation of defects, flexibility and rupture in biopolymer networks
title_sort simulation of defects, flexibility and rupture in biopolymer networks
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979039/
https://www.ncbi.nlm.nih.gov/pubmed/35425240
http://dx.doi.org/10.1039/d1ra07262e
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