Response surface methodological approach for the assessment of the photocatalytic degradation of NOM

Baycan, Neval; Demirel, Ceyda Senem Uyguner; Bekbölet, Miray

doi:10.1016/j.jphotochem.2011.09.021

Cited by 21 publications

(9 citation statements)

References 31 publications

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“…The efficiency of the developed process lies primarily in oxidizing agent strength of the hydroxyl radicals that are formed. On the other hand, the use of multivariate analysis allowed an accurate optimal response and an adequate statistical analysis to obtain the optimal response [7,20,35]. …”

Section: R Oh Roh mentioning

confidence: 99%

“…Wastewater containing dye is very difficult to treat by conventional methods due to their non-biodegradable and complex nature. Various physic-chemical and biological methods have been used in order to degrade the dyes present in wastewater [5][6][7][8][9]. These methods are efficient, however, the major constraints are the secondary pollution problem such as sludge and polluting agent transformation form one phase to another phase.…”

Section: Introductionmentioning

confidence: 99%

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Photo-degradation of the methyl blue: Optimization through response surface methodology using rotatable center composite design

Iqbal

Bhatti²,

Ahmad³

2013

International Journal of Basic and Applied Sciences

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Advanced oxidation processes (AOPs) generate in situ active hydroxyl radicals which allowed the destruction of polluting agents through mineralization. The suitable experimental design allows adjustment of factor levels to obtain an optimal response in experimental analysis. Rotatable Center Composite design and multivariate analysis were used for the optimization of the removal of methyl blue from aqueous solution, using UV (254 nm) radiation source and hydrogen peroxide as an oxidant. A factorial design (2 n ) with repeated central and axial points was used to obtain the best experimental condition to efficiently remove the dye from aqueous solution and initial dye concentration, 50-150 ppm and hydrogen peroxide 0.05-5.95 % was used as experimental variables. At optimum level up to 96.5% dye removal was recorded. Dye degradation followed the first order kinetics and dissolved oxygen and pH of the dye aqueous solution were found strongly correlated with the dye degradation.

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Section: R Oh Roh mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Photo-degradation of the methyl blue: Optimization through response surface methodology using rotatable center composite design

Iqbal

Bhatti²,

Ahmad³

2013

International Journal of Basic and Applied Sciences

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“…The tests which are designed statistically are able to significantly reduce the changes in quality specifications. Also, this technique is able to determine the levels of controllable variables that optimize the performance of the process [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Modeling the Removal of Phenol Dyes Using a Photocatalytic Reactor with SnO₂/Fe₃O₄Nanoparticles by Intelligent System

Sargolzaei

Moghaddam

Nouri

et al. 2014

Journal of Dispersion Science and Technology

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The objective of this study was to model the extent of improvement in the degradability of phenol dyes by SnO 2 /Fe 3 O 4 nanoparticles by using photo catalytic reactor.The effect of operative parameters including catalyst concentration, initial dye concentration, stirring intensity, and UV radiation intensity on the photocatalytic batch reactor during removal of phenol red was investigated.Fractional factorial design (FFD) and response surface methodology (RSM) were used to design the experiment layout.The SnO 2 /Fe 3 O 4 nanoparticles were synthesized by core-shell method. The results of XRD and TEM showed the successful synthesis of these nanoparticles. The ability of back propagation neural network (BPNN), radial basis function neural network (RBFNN), and adaptivenetwork-based fuzzy inference system (ANFIS) in predicting the performance of photo catalytic reactor was also investigated. It is found that BPNN has better ability in predicting the dye removal (%) than RBFNN, ANFIS, and regression model. The best architecture of BPNN was a network consisted of 3 hidden layers with 20-30-20 neurons.The BPNN predicted the output values with a high determination coefficient (R 2 ) value Downloaded by [University of West Florida] at 22:23 06 October 2014 ACCEPTED MANUSCRIPT ACCEPTED MANUSCRIPT 2 of 0.0.9718, while the predicting R 2 of regression model was 0.8978. And the predicting R 2 of RBFNN and ANFIS were 0.8011 and 0.9023, respectively.

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“…Titanium dioxide (TiO 2 ) is a well-known photocatalyst with a high oxidation ability and chemical stability under ultraviolet (UV) irradiation. Thus, many approaches have reported the photocatalytic degradation of humic substances, especially humic acid, using TiO 2 and TiO 2 -related materials [3][4][5][6][7][8][9][10]. However, these TiO 2 -based materials require UV irradiation because of their wide bandgaps.…”

Section: Introductionmentioning

confidence: 99%

Removal of dissolved humic acid from water by photocatalytic oxidation using a silver orthophosphate semiconductor

Hatakeyama¹,

Okuda²,

Kuki³

et al. 2012

Materials Research Bulletin

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Response surface methodological approach for the assessment of the photocatalytic degradation of NOM

Cited by 21 publications

References 31 publications

Photo-degradation of the methyl blue: Optimization through response surface methodology using rotatable center composite design

Photo-degradation of the methyl blue: Optimization through response surface methodology using rotatable center composite design

Modeling the Removal of Phenol Dyes Using a Photocatalytic Reactor with SnO₂/Fe₃O₄Nanoparticles by Intelligent System

Removal of dissolved humic acid from water by photocatalytic oxidation using a silver orthophosphate semiconductor

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Response surface methodological approach for the assessment of the photocatalytic degradation of NOM

Cited by 21 publications

References 31 publications

Photo-degradation of the methyl blue: Optimization through response surface methodology using rotatable center composite design

Photo-degradation of the methyl blue: Optimization through response surface methodology using rotatable center composite design

Modeling the Removal of Phenol Dyes Using a Photocatalytic Reactor with SnO2/Fe3O4Nanoparticles by Intelligent System

Removal of dissolved humic acid from water by photocatalytic oxidation using a silver orthophosphate semiconductor

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Product

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Modeling the Removal of Phenol Dyes Using a Photocatalytic Reactor with SnO₂/Fe₃O₄Nanoparticles by Intelligent System