Degradation of C.I. Direct Red 23 (DR23) was investigated by photoelectro-Fenton (PEF) process in the presence of citrate
catalyst under visible light irradiation of 6W. Multi walled carbon nanotubes (CNTs) were characterized by transmission electron microscopy
(TEM), which had approximately internal and external diameters of 6 nm and 22 nm, respectively. CNTs were stabilized on carbon
paper utilizing polytetrafluoroethylene (PTFE) and stabilization was confirmed by scanning electron microscopy (SEM). Results revealed
that the degradation efficiency followed the order of PEF/citrate > PEF > EF at the same operational conditions after 90 min treatment of
20 mg/L DR23. The effect of some operational parameters such as applied current, initial pH, initial dye concentration and Fe(III) to citrate
ratio on PEF/citrate process was studied. Artificial neural network (ANN) was applied not only to develop a model to predict the
degradation efficiency with reasonable performance (R2= 0.988), but also to determine the relative importance of operational parameters
for PEF/citrate process.
Keywords: Advanced oxidation processes, artificial neural network, azo dye, carbon nanotubes, electrochemical treatment, visible light.
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