Connectivity and plasticity determine collagen network fracture

Journal Article (2020)
Author(s)

Federica Burla (AMOLF Institute for Atomic and Molecular Physics)

Simone Dussi (Wageningen University & Research)

Cristina Martinez-Torres (TU Delft - BN/Gijsje Koenderink Lab, Kavli institute of nanoscience Delft)

Justin Tauber (Wageningen University & Research)

Jasper van der Gucht (Wageningen University & Research)

G.H. Koenderink (TU Delft - BN/Gijsje Koenderink Lab, AMOLF Institute for Atomic and Molecular Physics, Kavli institute of nanoscience Delft)

Research Group
BN/Gijsje Koenderink Lab
DOI related publication
https://doi.org/10.1073/pnas.1920062117
More Info
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Publication Year
2020
Language
English
Research Group
BN/Gijsje Koenderink Lab
Issue number
15
Volume number
117
Pages (from-to)
8326-8334

Abstract

Collagen forms the structural scaffold of connective tissues in all mammals. Tissues are remarkably resistant against mechanical deformations because collagen molecules hierarchically self-assemble in fibrous networks that stiffen with increasing strain. Nevertheless, collagen networks do fracture when tissues are overloaded or subject to pathological conditions such as aneurysms. Prior studies of the role of collagen in tissue fracture have mainly focused on tendons, which contain highly aligned bundles of collagen. By contrast, little is known about fracture of the orientationally more disordered collagen networks present in many other tissues such as skin and cartilage. Here, we combine shear rheology of reconstituted collagen networks with computer simulations to investigate the primary determinants of fracture in disordered collagen networks. We show that the fracture strain is controlled by the coordination number of the network junctions, with less connected networks fracturing at larger strains. The hierarchical structure of collagen fine-tunes the fracture strain by providing structural plasticity at the network and fiber level. Our findings imply that low connectivity and plasticity provide protective mechanisms against network fracture that can optimize the strength of biological tissues.

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