Application of response surface methodology for optimization of azo dye removal by oxalate catalyzed photoelectro-Fenton process using carbon nanotube-PTFE cathode

Desalination ◽  
2010 ◽  
Vol 258 (1-3) ◽  
pp. 112-119 ◽  
Author(s):  
Ali R. Khataee ◽  
Mahmoud Zarei ◽  
Leila Moradkhannejhad
Keyword(s):  
Response Surface Methodology ◽  
Carbon Nanotube ◽  
Response Surface ◽  
Azo Dye ◽  
Dye Removal ◽  
Fenton Process

scholarly journals Optimization of the Fenton Oxidation of Synthetic Textile Wastewater using Response Surface Methodology

2017 ◽  
Vol 25 (0) ◽  
pp. 108-113 ◽  
Author(s):  
Maciej Thomas ◽  
Krzysztof Barbusiński ◽  
Katarzyna Kalemba ◽  
Paweł Jan Piskorz ◽  
Violetta Kozik ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Anionic Surfactant ◽  
Azo Dye ◽  
Textile Wastewater ◽  
Fenton Process ◽  
Optimal Process ◽  
Model Studies ◽  
Experimental Values

This article presents the possibility of using the classical Fenton process (Fe(II)/H2O2) to purify synthetic textile wastewater (COD=1872 mg O2/dm3, TOC=660 mg/dm3) containing azo dye Anilan Blue GRL 250% (200 mg/dm3) and Sodium Lauryl Sulphate (SLS) as anionic surfactant at a concentration of 95 mg/dm3. Model studies were carried out using RSM, obtaining a good fit of approximated values to experimental values (R2=0.9461 and R2adj=0.7379). For optimal process parameters (pH 3, Fe(II) 0.85 g/dm3, H2O2 14.5 g/dm3), complete decolourisation (<10 mg Pt/dm3) was achieved as well as a reduction in COD, TOC and SLS concentrations to 83%, 44% and 98%, respectively.

scholarly journals Intensification of Azo Dye Removal Rate in the Presence of Immobilized Nanoparticles and Inorganic Anions under UV-C Irradiation: Optimization by Response Surface Methodology

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Mohammad A. Behnajady ◽  
Mahsa Hajiahmadi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Azo Dye ◽  
Dye Removal ◽  
Removal Rate ◽  
Organic Pollutant ◽  
Inorganic Anions ◽  
Coefficient Of Determination ◽  
Synergy Effect ◽  
Uv C

Wastewaters contain inorganic anions that affect the removal rate of organic pollutants. The present study aims to optimize the effects of inorganic anions such as , Cl−, , and on the removal rate of an organic pollutant in the presence of immobilized TiO2nanoparticles using response surface methodology (RSM). C.I. Acid Red 17 (AR17) was used as a model organic pollutant. Thirty experiments were required to study the effects of anions in various concentrations. The results indicate that the addition of and ions intensifies the removal rate of AR17. The results of the analysis of variance (ANOVA) showed a high coefficient of determination value ( and ). The results indicate that RSM is a suitable method for modeling and optimizing the process. The results prove that in the presence of and and ions especially in the combination situation the removal rate of AR17 is enhanced considerably. An important synergy effect was observed in the combination of and ions, so that AR17 removal percent under the optimized RSM conditions was considerably more than the sum of removal percent when these ions are used individually.

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