Degradation study of tris(2-butoxyethyl) phosphate with TiO 2 immobilized on aluminum meshes employing artificial neural networks

• Published in: Water science and technology Vol. 80; no. 6; p. 1163
• Main Authors: Aquino, Ramon Vinícius Santos de, Barbosa, Ada Azevedo, Carvalho, Rafaela Ferreira de, Silva, Marina Gomes, Nascimento Júnior, Welenilton José do, Silva, Túlio Diego da, Silva, Josivan Pedro, Rossiter Sá da Rocha, Otidene
• Format: Journal Article
• Language: English
• Published: England 01-09-2019
• Subjects: Aluminum; Catalysis; Organophosphates; Organophosphorus Compounds; Phosphates; Titanium
• ISSN: 0273-1223

This work presents the study of tris(2-butoxyethyl) phosphate advanced oxidation in TiO
-containing systems. Titania was immobilized on aluminum surfaces from recyclable materials and the results were compared with the suspension system. The initial concentration of photocatalyst and the oxidizing agent was optimized in a 2
experimental design and a kinetic study of the reactions was performed in the selected conditions. The experimental data were fitted to the pseudo-first-order model (rate constants estimated at 0.0129 ± 0.0009 and 0.0079 ± 0.0006 min
for the systems with TiO
in suspension and immobilized, respectively). Artificial neural networks were also employed to model the experimental data and they presented correlation coefficients superior to 0.98 in all the training operations. After five cycles of degradation, the TiO
-aluminum meshes exhibited a very low decrease in photocatalytic activity (inferior to 2%). Acute phytotoxicity assays demonstrated that the byproducts of the oxidation of TBEP molecules are less toxic than the raw samples regarding lettuce seeds. For both TiO
systems, COD decreased considerably as a consequence of the degradation. The immobilized TiO
system achieved similar degradation rates when compared with the suspension system.