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Updated: Aug 11, 2026
Environmental Dynamic Mechanical Analysis to Predict the Softening Behavior of Neural Implants
Published on: March 1, 2019
[Metal-metal interactions in hard tissue studied with statistica neural networks]
1Katedra i Zakład Biochemii i Chemii Pomorskiej Akademii Medycznej al Powstańców Wlkp 72, Szczecin.
Purpose:
The aim of this work was to analyze interactions taking place between metals present in bone and to define conditions under which calcium atoms bound to hydroxyl groups of hydroxyapatite can exchange with other metals.
Material And Methods:
The material consisted of 59 mandibles of several deer species from Bogdaniec, Ośno Lubuskie, Rzepin, and Szczecinek. Concentrations of Ca, Cu, and Zn were measured with ASA, of Cr, Fe, Mg, and Mn with ICP. Analysis was performed with the Statistical Neural Networks and HyperChem (molecular modeling) software.
Conclusions:
The study of mineral composition of the mandibles of deer from several regions of West Pomerania is helpful in assessing the extent of environmental pollution. Calcium was the only element measured by us for which a correlation of content with age of the animals was found. The application of molecular modeling allows for a preliminary theoretical analysis of chemical compounds without the need for laboratory tests. When studying metal-metal interactions in bone the presence of other metals must be considered which are capable of significantly altering the content of the metals studied. Parametric analysis has demonstrated the influence of various environmental factors on the content of metals in bone tissue.
