title: Application of artificial neural network for modeling of phenol mineralization by photo-Fenton process using a multi-lamp reactor.
abstract: An artificial neural network (ANN) was implemented for modeling phenol mineralization in aqueous solution using the photo-Fenton process. The experiments were conducted in a photochemical multi-lamp reactor equipped with twelve fluorescent black light lamps (40 W each) irradiating UV light. A three-layer neural network was optimized in order to model the behavior of the process. The concentrations of ferrous ions and hydrogen peroxide, and the reaction time were introduced as inputs of the network and the efficiency of phenol mineralization was expressed in terms of dissolved organic carbon (DOC) as an output. Both concentrations of Fe(2+) and H2O2 were shown to be significant parameters on the phenol mineralization process. The ANN model provided the best result through the application of six neurons in the hidden layer, resulting in a high determination coefficient. The ANN model was shown to be efficient in the simulation of phenol mineralization through the photo-Fenton process using a multi-lamp reactor.
authors.affiliation: Department of Environmental Science and Technology, Federal University of Rural Semi-Arid, Mossoró, 59625-900, Brazil.
authors.forename: André L N
authors.initials: AL
authors.lastname: Mota
authors.affiliation: Department of Chemical Engineering, Federal University of Rio Grande do Norte, 59066-800, Natal, Brazil.
authors.forename: Osvaldo
authors.initials: O
authors.lastname: Chiavone-Filho
authors.affiliation: Department of Chemical Engineering, Federal University of Rio Grande do Norte, 59066-800, Natal, Brazil.
authors.forename: Syllos S
authors.initials: SS
authors.lastname: da Silva
authors.affiliation: Department of Chemical Engineering, Federal University of Santa Maria, 97105-900, Santa Maria, Brazil E-mail: efoletto@gmail.com.
authors.forename: Edson L
authors.initials: EL
authors.lastname: Foletto
authors.affiliation: Department of Exact and Earth Sciences, Federal University of São Paulo, 09972-270, São Paulo, Brazil.
authors.forename: José E F
authors.initials: JE
authors.lastname: Moraes
authors.affiliation: Department of Chemical Engineering, University of São Paulo, 05508-900, São Paulo, Brazil.
authors.forename: Cláudio A O
authors.initials: CA
authors.lastname: Nascimento
mesh_terms: D019149:Bioreactors; D008027:Light; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D019800:Phenol / Q000737:chemistry*
chemical_list: D019800:Phenol