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ZnO/Mg-Al Layered Double Hydroxides as a Photocatalytic Bleaching of Methylene Orange - A Black Box Modeling by Artificial Neural Network

Department of Applied Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran, Islamic Republic of

Received: 28 Jun 2016; Published: 11 Oct 2016.
Editor(s): Istadi Istadi
Open Access Copyright (c) 2016 by Authors, Published by BCREC Group under

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The paper reports the development of ZnO-MgAl layered double hydroxides as an adsorbent-photo catalyst to remove the dye pollutants from aqueous solution and the experiments of a photocatalytic study were designed and modeled by response surface methodology (RSM) and artificial neural network (ANN). The co-precipitation and urea methods were used to synthesize the ZnO-MgAl layered double hydroxides and FT-IR, XRD and SEM analysis were done for characterization of the catalyst.The performance of the ANN model was determined and showed the efficiency of the model in comparison to the RSM method to predict the percentage of dye removal accurately with a determination coefficient (R2) of 0.968. The optimized conditions were obtained as follows: 600 oC, 120 min, 0.05 g and 20 ppm for the calcination temperature, irradiation time, catalyst amount and dye pollutant concentration, respectively. 

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Keywords: layered double hydroxide; photo catalyst; artificial neural network; response surface methodology; nano composite

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