Hybrid Homogeneous and Heterogeneous Photocatalytic Processes for Removal of Triphenylmethane Dyes: Artificial Neural Network Modeling

Abstract

Removal of two triphenylmethane dyes, Acid Fuchsin (AF) and Malachite green (MG), was studied by hybrid advanced oxidation processes of homogeneous (UV/Fe 2þ /H 2 O 2 ) and heterogeneous (UV/TiO 2 ÀSiO 2 ) photocatalysis. A comparison of various processes for removal of model pollutants was performed. The results showed that the utilizing hybrid photocatalytic processes in the presence of silica leads to rapid removal of pollutants, which may be ascribable to the synergistic influence of produced various radical species. The effects of operational variables were studied on the efficiency of the UV/Fe 2þ /H 2 O 2 /TiO 2 ÀSiO 2 hybrid process. An artificial neural network (ANN) model was intended to predict the removal efficiency of the UV/Fe 2þ /H 2 O 2 /TiO 2 ÀSiO 2 hybrid process under different operational conditions. The results indicated that there is a good concurrence between the ANN predicted values and experimental results with a correlation coefficient of 0.9873 and 0.9774 for removal of AF and MG dyes, respectively. The designed neural network model gives a dependable technique for modeling the removal efficiency of the UV/Fe 2þ /H 2 O 2 /TiO 2 ÀSiO 2 hybrid process. Moreover, the relative significance of each variable was computed based on the input-hidden and hidden-output connection weights of the neural network model. The initial concentration of dyes was the most significant variable in the removal efficiency.

Synthesis of Highly Monodispersed, Stable, and Spherical NZVI of 20–30 nm on Filter Paper for the Removal of Phosphate from Wastewater: Batch and Column Study

“…All of the used process in this paper for the preparation of NZVI on the surface of the filter paper was performed in water as the solvent instead of ethanol which already being used for synthesis of NZVI on the surface of the cellulose . In fact, by using water as the solvent the size of the monodispersed NZVI decreased to lower than 30 nm instead of ethanol which resulted in the size of the obtained NZVI above 100 nm and they were aggregated together like chain-like structure. , In order to appraise the application of this nanobiomaterial composite, NZVI stabilized on NaOH activated filter paper (FP–OH–NZVI), we tested its ability at removing phosphate ions in a batch system and a continuous fixed-bed column. The impact of variables, like pH, temperature, contact time, flow rate, bed-height, and initial concentration on the adsorption efficiency of the immobilized NZVI on the filter paper were also studied.…”

“…ANNs as a very suitable modeling techniques, are able to simulate and predict the experimental data. ANNs modeling are informative in simulating and eventually up-scaling complicated systems because it does not need the mathematical qualification of the phenomena which associated with the studied procedure. , Recently, ANNs modeling technique has been used in different fields for scientific and engineering applications . The using of an ANN technique for the modeling of adsorption process can be a suitable strategy, due to the complexity of the reactions involved in adsorption process and mechanism of the process.…”

“…20,21 Recently, ANNs modeling technique has been used in different fields for scientific and engineering applications. 19 The using of an ANN technique for the modeling of adsorption process can be a suitable strategy, due to the complexity of the reactions involved in adsorption process and mechanism of the process.…”

Development of Artificial Neural Network for Predicting The Photodegradation of Reactive Black 5 Dye

“…Therefore, predicting photodegration data through computational models would be useful. Artificial neural network (ANN) is a performance prediction tool for photocatalytic processes characterized by complex photocatalytic reactions [6]. ANN modeling had reliable, robust, and salient characteristics suitable for nonlinear relationships between the variables in a complex system [7].…”

A Biocompatible Nanodendrimer for Efficient Adsorption and Reduction of Hg(II)

“…As a suitable simulation method, artificial neural networks (ANNs) have the potential to be employed for prediction of the experimental results. ANNs simulation eliminates the need for mathematical qualification of the reactions involved in the process, and so it can be a valuable technique in both scaling up and simulating multipart systems. , Lately, ANNs simulation has been utilized in different areas of scientific research . Here, an ANN model was used to simulate the removal of Hg­(II) ion separation onto the SiO 2 /Al 2 O 3 -G2.0.…”