Engenharia Química

URI Permanente desta comunidade

http://repositorio.ufes.br/handle/10/17472
Programa de Pós-Graduação em Engenharia Química

Centro: CCAE
Telefone: (28) 3552 8719
URL do programa: http://www.engenhariaquimica.alegre.ufes.br/pos-graduacao/PPEQ

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Navegando Engenharia Química por Autor "Barañano, Audrei Gimenez"

Agora exibindo 1 - 3 de 3
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    Atividade nematicida do fungo Pleurotus ostreatus e de suas proteases
    (Universidade Federal do Espírito Santo, 2015-06-08) Genier, Hugo Leonardo André; Pinheiro, Iara Rebouças; Barañano, Audrei Gimenez; Soares, Filippe Elias de Freitas
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    Simulação e estimação em um processo de hipertermia com nanofluidos utilizando redes neurais informadas por física e filtro de partículas
    (Universidade Federal do Espírito Santo, 2025-02-26) Pedruzzi, Wancley Oinhos; Silva, Wellington Betencurte da ; https://orcid.org/0000-0003-2242-7825; http://lattes.cnpq.br/6900925458823632; Dutra, Julio Cesar Sampaio; https://orcid.org/0000-0001-6784-4150; http://lattes.cnpq.br/5331990513570911; https://orcid.org/0009-0008-5461-9075; http://lattes.cnpq.br/5567607430921292; Barañano, Audrei Gimenez ; https://orcid.org/0000-0002-0174-5202; http://lattes.cnpq.br/6155024776819193; Bermeo Varon, Leonardo Antonio ; https://orcid.org/0000-0002-8078-716X; http://lattes.cnpq.br/4417772166132737
    Hyperthermia is a promising technique for cancer treatment, attracting significant interest from the scientific community. The use of metallic nanoparticles enables enhanced heat deposition in tumors when exposed to external energy sources, such as lasers. However, there are still challenges in accurately modeling heat transfer and estimating state variables, such as temperature and heat sources, during treatments. This study investigates the heating of a nanofluid in a simulated experiment, where a nanofluid containing palladium-ceria oxide (PdCeO2) nanoparticles is heated by a near-infrared diode laser. The study proposes and an alyzes two complementary models to describe the heating process. The first model describes heat transfer in a two-dimensional domain and employs Physics-Informed Neural Networks (PINNs) trained under different architectures, along with the finite volume method, using an implicit formulation for temporal interpolation and central differences for spatial gradients. The results are verified using COMSOL software and validated against experimental data, ensuring the accuracy of the approach. The second model represents the transient average temperature increase and combines a PINN with a particle filter for state estimation. The PINN solves the heat transfer model and acts as the state evolution model in the particle filter. Synthetic and real temperature measurements, obtained from nanofluid heating experiments, are used to solve the state estimation problem. The results demonstrate that the PINN-based approach accurately predicts various experimental conditions. Furthermore, the combination of PINNs and particle filters emerges as a promising tool for modeling and controlling thermal processes in biomedical applications, such as cancer thermotherapy
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    Síntese e caracterização de nanopartículas de Cu-ZnO e sua utilização no revestimento de superfícies de titânio por deposição eletroforética
    (Universidade Federal do Espírito Santo, 2017-07-05) Gênier, Francielli Silva; Brito, Gilberto Augusto de Oliveira; Pinheiro, Christiano Jorge Gomes; Barañano, Audrei Gimenez; Guimarães, Damaris
    The majority of metallic implant failures is due to body rejection to the material’s surface and to postoperative infections. Therefore, preventing bacterial growth on these materials and simultaneously contributing to their body adaptation are the main goals of recent researches on nanomedicine. As a way to reach these objectives, coating metallic prosthesis with nanoparticles represents a viable alternative to traditional treatment methods such as antibiotic administration, whose efficacy decreases as antibiotic-resistant strains of bacteria rise. The present work presentes the use of cooper doped zinc oxide nanoparticles (Cu-ZnO) to coat titanium surfaces, a commonly used material in medical devices, by electrophoretic deposition. These nanoparticles were chosen due their antibacterial characteristics, as presented on recent publications. Through microscopy (SEM and TEM), spectroscopy (EDS), and X-ray diffraction (XRD), the format and composition of the nanoparticles was confirmed as well as their crystallite size (228.24 nm) and lattice parameters. This material was suspended and deposited by electrophoresis on titanium plates for 1 minute under voltages between 100 and 180 V in order to obtain the best deposition condition, which was 160 V. The pH and conductivity of the suspension was also evaluated before and after the EPD. The EDS results confirmed the presence of the nanomaterial in the deposit. SEM images confirmed the increased surface roughness after electrophoretic deposition. Hence, this work’s goal was to explore a new potencial coatings process for artificial implants, in the way of contributing to the nanotechnology research field and its applications on medicine.