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ABSTRACT The feasibility of using iron-containing waste (ICW) as new low-cost heterogeneous Fenton catalyst for methyl orange (MO) degradation has been studied. Process modeling and simulation has been conducted using artificial neural... more
ABSTRACT The feasibility of using iron-containing waste (ICW) as new low-cost heterogeneous Fenton catalyst for methyl orange (MO) degradation has been studied. Process modeling and simulation has been conducted using artificial neural network (ANN). Complete degradation of MO was achieved at 0.2 g/L ICW concentration, 24 mM H2O2 dose, and pH 2 in 30 min. A three-layered back-propagation neural network with tangent sigmoid transfer function (tansig) at hidden layer and linear transfer function (purelin) at output layer was used for modeling the process performance. ANN-predicted results are very close to the experimental results with a correlation coefficient (R 2) of 0.961 and a mean squared error of 0.039. The sensitivity analysis showed that all studied variables (reaction time, ICW concentration, H2O2 dose, pH, and MO concentration) have strong effect on MO degradation. Among all studied variables, pH appeared to be the most influential input variable followed by ICW concentration.
ABSTRACT The feasibility of using iron-containing waste (ICW) as new low-cost heterogeneous Fenton catalyst for methyl orange (MO) degradation has been studied. Process modeling and simulation has been conducted using artificial neural... more
ABSTRACT The feasibility of using iron-containing waste (ICW) as new low-cost heterogeneous Fenton catalyst for methyl orange (MO) degradation has been studied. Process modeling and simulation has been conducted using artificial neural network (ANN). Complete degradation of MO was achieved at 0.2 g/L ICW concentration, 24 mM H2O2 dose, and pH 2 in 30 min. A three-layered back-propagation neural network with tangent sigmoid transfer function (tansig) at hidden layer and linear transfer function (purelin) at output layer was used for modeling the process performance. ANN-predicted results are very close to the experimental results with a correlation coefficient (R 2) of 0.961 and a mean squared error of 0.039. The sensitivity analysis showed that all studied variables (reaction time, ICW concentration, H2O2 dose, pH, and MO concentration) have strong effect on MO degradation. Among all studied variables, pH appeared to be the most influential input variable followed by ICW concentration.
... mechanism is similar to that of TiO 2 . ZnO can absorb a larger fraction of the solar spectrum than TiO 2 , and hence ZnO photocatalyst is considered more ... and pH on the treatment of antibiotic aqueous solution using Fenton,... more
... mechanism is similar to that of TiO 2 . ZnO can absorb a larger fraction of the solar spectrum than TiO 2 , and hence ZnO photocatalyst is considered more ... and pH on the treatment of antibiotic aqueous solution using Fenton, photo-Fenton, TiO 2 photocatalytic (UV/TiO 2 ...
Degradation of amoxicillin, ampicillin and cloxacillin antibiotics in aqueous solution by TiO 2 photocatalysis under UVA (365 nm) irradiation was studied. Enhancement of photocatalysis by addition of H 2 O 2 was also evaluated. The... more
Degradation of amoxicillin, ampicillin and cloxacillin antibiotics in aqueous solution by TiO 2 photocatalysis under UVA (365 nm) irradiation was studied. Enhancement of photocatalysis by addition of H 2 O 2 was also evaluated. The results showed that no significant ...