Victor Ruan Nascimento
Research areas: Environmental Science · Environmental Engineering · Anaerobic Digestion and Biogas Production · Microbial Fuel Cells and Bioremediation · Environmental remediation with nanomaterials
0000-0002-1150-332X
About
PhD and an MSc in Process Engineering from Universidade Tiradentes (PEP/ITP), and is a qualified Petroleum Engineer and Mathematics educator. He is currently a researcher in the Department of Chemical Engineering at the Federal University of São Carlos (DEQ/UFSCar).He possesses expertise at the interface of non-thermal plasma technology and heterogeneous catalysis, focusing on the development and optimization of Dielectric Barrier Discharge (DBD) reactors for greenhouse gas conversion and the energy transition, with a particular emphasis on Dry Reforming of Methane (DRM). Research focuses primarily on the following areas:Synthesis of Structured Catalysts: Development of catalytic materials based on various metal oxides (Ni, Cu, Fe, Mg, Ce, Co, and bimetallic systems) on porous supports.Plasma-Catalysis Reactor Engineering: Electrical diagnostics of microdischarges (Lissajous figure analysis) and packed-bed dynamics.Characterization and Surface Phenomena: Investigation of morphology and textural properties; techniques include XRD, BET, thermogravimetry, Raman spectroscopy, and electron microscopy; study of catalytic deactivation mechanisms involving carbon deposition.Also possesses experience in the application of artificial intelligence to process engineering, modeling/simulation, and wastewater treatment.
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Publications (11)
- Converting brewery wastewater into Bioenergy: Anaerobic digestion performance and digestate suitability by ecotoxicological assessment Save
- Optimized solar desalination: integrating nanofluids, TiO2-coated basins, and neural network prediction Save
- Blood cell alterations in Colossoma macropomum juveniles caused by silver nanoparticles Save
- CO2 Photoreduction Product Selectivity with TiO2-Cu Nanocatalysts under Different Reaction Media Save
- Empirical modeling, experimental optimization, and artificial intelligence (ANN-GA) as a tool for the efficient dye remediation by the biosilica extracted from sugarcane bagasse ash Save
- Evaluation of artificial neural network models for predictive monitoring of biogas production from cassava wastewater: A training algorithms approach Save
- Bioremediation potential of Dicentrarchus labrax fish scales for dye-based emerging contaminants by ANN-GA hybrid modeling Save
- Efficacy of Terminalia catappa-AgNP nanocomposite towards Saprolegnia parasitica infection in angelfish (Pterophyllum scalare) eggs Save
- Hyper-production optimization of fungal oxidative green enzymes using citrus low-cost byproduct Save
- Simulation and optimization of mineralization of urine by electrooxidation process using artificial neural network and genetic algorithm Save
- Fungal biosynthesis of lignin-modifying enzymes from pulp wash and Luffa cylindrica for azo dye RB5 biodecolorization using modeling by response surface methodology and artificial neural network Save