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- Title
Kinetic study and modelling of cephalexin removal from aqueous solution by advanced oxidation processes through artificial neural networks.
- Authors
da Rocha, Otidene R. S.; Dantas, Renato F.; do Nascimento Júnior, Welenilton José; Fujiwara, Yuji; Menezes Bezerra Duarte, Marta Maria; Pedro da Silva, Josivan
- Abstract
The degradation of the antibiotic cephalexin (CEX) was studied by UV direct photolysis and hydrogen peroxide combined with UVC and solar radiation. A factorial plan was used to evaluate the efficiency of the processes and the influence of variables. UVC direct photolysis had a minor contribution (12%) on CEX removal during the UV/H2 O2 treatment. The best UV/H2 O2 performance from the factorial plan was able to achieve a high degradation percentage for CEX and aromaticity (83.2% and 76.2%, respectively) in 60 min, while solar photolysis was not able to achieve high degradation percentage at the applied conditions. Statistical analyses pointed to the high statistical significance of the oxidant concentration for the process and the weak dependence of the other variables. The kinetic study demonstrated that the pseudo-first-order model was the more appropriate for both direct photolysis and UV/H2 O2 treatments with rate constants of kUVC = 0.0031 min−1 and kUV/H2O2 = 0.0367 min−1. The use of artificial neural network was proven to be efficient to predict CEX removal by photolysis and photochemical treatments from aqueous solutions.
- Subjects
ARTIFICIAL neural networks; AQUEOUS solutions; OXIDATION; SOLAR radiation; SOLAR stills; HYDROGEN peroxide
- Publication
Desalination & Water Treatment, 2017, Vol 92, p72
- ISSN
1944-3994
- Publication type
Article
- DOI
10.5004/dwt.2017.21438