Abstract
This work deals with the characterization of bone based on the microarchitecture of this tissue, aiming to provide data for the manufacture of xenogenic or biomimetic biomaterials. To carry out the studies animals of the Canchim and Nellore bovine breeds of precise and controlled origin were selected, all having the same biological and biomechanical processes from birth to slaughter that occurred before adulthood. Metatarsal bone samples were prepared and characterized by scanning electron microscopy and optical and energy dispersive spectroscopy. Subsequently, their microhardness, elastic modulus, and resistance to plastic deformation by nanoindentation were analyzed. Finally, the crystal structure of dry bone metatarsals was characterized by X-ray diffraction, obtaining grid, crystal size, and micro-formation by the Rietveld refinement method. The results showed that the bones of the two races showed differences not only visually, in the microscope images, but also statistically in the modulus of elasticity, crystallite size, and Knoop microhardness. However, they presented statistical similarities in hardnesses, calcium and phosphorus ratio, and microstructure (micro deformation and parameters of the network). From the results presented, it can be concluded that despite the breeds having the same breeding protocol, the bones presented some differences in their characterization, and, consequently, the manufacture of biomaterials from these bones must follow different protocols.
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The authors declare no conflicts of interest and the present work was carried out with the support of the Coordination of Improvement of Superior - Brazil (CAPES) - Financing Code 001.
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Erbereli, R., de Camargo, I.L., Marcondes, C.R., Tullio, R.R., Fortulan, C.A., de Almeida Rollo, J.M.D. (2023). Characterization of the Bones of Different Bovine Breeds Based on the Microarchitecture of the Bone Tissue. In: Iano, Y., Saotome, O., Kemper Vásquez, G.L., de Moraes Gomes Rosa, M.T., Arthur, R., Gomes de Oliveira, G. (eds) Proceedings of the 8th Brazilian Technology Symposium (BTSym’22). BTSym 2022. Smart Innovation, Systems and Technologies, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-031-31007-2_35
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