RESUMO
The use of titanium as a biomaterial for the treatment of dental implants has been successful and has become the most viable and common option. However, in the last three decades, new alternatives have emerged, such as polymers that could replace metallic materials. The aim of this research work is to demonstrate the structural effects caused by the fatigue phenomenon and the comparison with polymeric materials that may be biomechanically viable by reducing the stress shielding effect at the bone-implant interface. A numerical simulation was performed using the finite element method. Variables such as Young's modulus, Poisson's coefficient, density, yield strength, ultimate strength, and the S-N curve were included. Prior to the simulation, a representative digital model of both a dental implant and the bone was developed. A maximum load of 550 N was applied, and the analysis was considered linear, homogeneous, and isotropic. The results obtained allowed us to observe the mechanical behavior of the dental implant by means of displacements and von Mises forces. They also show the critical areas where the implant tends to fail due to fatigue. Finally, this type of non-destructive analysis proves to be versatile, avoids experimentation on people and/or animals, and reduces costs, and the iteration is unlimited in evaluating various structural parameters (geometry, materials, properties, etc.).
RESUMO
En este trabajo se procedió al reconocimiento de lipopolisacáridos de diferentes serotipos de Pseusodomas aeruginosa por sueros humanos. Los lipopolisacáridos fueron aislados por el método Wespthal y Jann. Se utilizaron un total de 104 sueros de pacientes infectados y donantes voluntarios, provenientes de instalaciones hospitalarias y del Banco de Sangre, para el reconocimiento de antígenos lipopolisacarídicos, mediante el ensayo de Dott Blot. Los resultados mostraron que los serotipos de mayor reconocimiento, por los sueros testados, fueron el O11, O13, O16 y el O15, existiendo diferencias significativas entre ellos (p< 0,05)(AU)
