Age Differences with Glutaraldehyde Treatment in Collagen Fibril Orientation of Bovine Pericardium
Glutaraldehyde treatment of bovine pericardium produces a more isotropic structure with less oriented collagen fibrils. Skin from old animals has more natural cross linking than skin from young animals and structural differences exist between old and young tissue. However, it was not known whether structural changes resulting from glutaraldehyde treatment (considered to be cross linking) are affected by tissue age. Bovine neonatal and adult pericardia were treated with glutaraldehyde and the collagen fibril orientation measured for both using synchrotron based small angle X-ray scattering (SAXS). Neonatal pericardium is more oriented than adult with a higher orientation index (OI) of 0.40 compared to an OI of 0.19 for adult pericardium (with X-rays normal to the surface). With glutaraldehyde treatment the OI decreased for both tissue types by similar amounts to give an OI of 0.23 for neonatal and 0.12 for adult pericardium, so a 41% and 39% decrease for neonatal and adult pericardium respectively. While there are differences in structure of bovine pericardium with age, the age of the pericardium does not alter relative structural changes that take place on glutaraldehyde treatment. Therefore, the propensity to develop more isotropic structures by glutaraldehyde cross linking is similar for neonatal and adult tissue.
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Document Type: Research Article
Publication date: 2016-12-01
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- Journal of Biomaterials and Tissue Engineering (JBT) is an international peer-reviewed journal that covers all aspects of biomaterials, tissue engineering and regenerative medicine. The journal focuses on the broad spectrum of research topics including all types of biomaterials, their properties, bioimplants and medical devices, biofilms, bioimaging, BioMEMS/NEMS, biosensors, fibers, tissue scaffolds, tissue engineering and modeling, artificial organs, tissue interfaces, interactions between biomaterials, blood, cells, tissues, and organs, regenerative medicine and clinical performance.
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