dwt 2018
DOI: 10.5004/dwt.2018.21841
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Kinetic study of food dyes removal from aqueous solutions by solar heterogeneous photocatalysis with artificial neural networks and phytotoxicity assessment

Abstract: a b s t r a c tEffluent treatment for food industry wastewater is a subject of growing concern among the scientific community. Synthetic dyes are a major case and their presence can disturb aquatic environments and introduce highly toxic potentials to the ecosystem, even at low concentrations. In this study, the chemical kinetics of a degradation process was studied for the treatment of a Tartrazine (E102) and Brilliant Blue (E133) solution by different methods. First, the efficiency of eight advanced oxidativ… Show more

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Cited by 10 publications
(11 citation statements)
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“…No significant degradation was achieved in any of the experiments in the dark since the free radicals are not effectively formed in the absence of radiation. Do Nascimento Júnior et al [3] and Wang et al [53] found similar results for synthetic food dyes degradation applying TiO 2 photocatalysis. The direct photolysis systems did not present adequate results because the synthetic dyes are known to be stable to light.…”
Section: Preliminary Testsmentioning
confidence: 67%
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“…No significant degradation was achieved in any of the experiments in the dark since the free radicals are not effectively formed in the absence of radiation. Do Nascimento Júnior et al [3] and Wang et al [53] found similar results for synthetic food dyes degradation applying TiO 2 photocatalysis. The direct photolysis systems did not present adequate results because the synthetic dyes are known to be stable to light.…”
Section: Preliminary Testsmentioning
confidence: 67%
“…A pseudo‐first‐order kinetic model was fitted to the degradation data for both systems. Previous reports in the literature have shown that advanced oxidation processes based on UV radiation absorption tend to follow a first‐order reaction kinetic profile . Kinetic rate constants (k/min −1 ) and half‐life reaction times (t 1/2 /min) were estimated by the modelling.…”
Section: Methodsmentioning
confidence: 99%
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