Photo-Assisted Degradation, Toxicological Assessment, and Modeling Using Artificial Neural Networks of Reactive Gray BF-2R Dye

This work investigates the degradation of Reactive Gray BF-2R dye (a blend of reactive yellow 145, reactive orange 122 and reactive black 5 dyes) using UV/H 2 O 2 , Fenton, and photo-Fenton-advanced oxidative processes, with artificial sunlight and UV-C radiations. The photo-Fenton process employing...

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Veröffentlicht in:	Water, air, and soil pollution air, and soil pollution, 2018-12, Vol.229 (12), p.1-15, Article 379
Hauptverfasser:	do Nascimento, Graziele Elisandra, Napoleão, Daniella Carla, de Aguiar Silva, Polyana Karynne, da Rocha Santana, Rayany Magali, Bastos, Ana Maria Ribeiro, Zaidan, Léa Elias Mendes Carneiro, de Moura, Maiara Celine, Coelho, Luana Cassandra Breitenbach Barroso, Duarte, Marta Maria Menezes Bezerra
Format:	Artikel
Sprache:	eng
Schlagworte:	Aromatic compounds Artificial neural networks Atmospheric Protection/Air Quality Control/Air Pollution Bacteria Biodegradation Chemical oxygen demand Climate Change/Climate Change Impacts Color Colour Degradation Dyes E coli Earth and Environmental Science Environment Environmental monitoring Factorial design Hydrogen peroxide Hydrogeology Iron Mathematical models Modelling Multilayer perceptrons Neural networks Organic chemistry Peroxides Radiation Salmonella Seeds Soil Science & Conservation Toxicity Toxicity testing Toxicity tests Toxicology Ultraviolet radiation Water Quality/Water Pollution
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