Optimization of C.I. Acid Red 14 azo dye removal by electrocoagulation batch process with response surface methodology

2008 ◽  
Vol 47 (5) ◽  
pp. 827-832 ◽  
Author(s):  
A. Aleboyeh ◽  
N. Daneshvar ◽  
M.B. Kasiri
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Azo Dye ◽  
Dye Removal ◽  
Batch Process

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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