Application of Response Surface Methodology to Optimise C.I. Acid Orange 7 Azo Dye Mineralization by UV/H2O2 Process

2008 ◽  
Vol 11 (3) ◽  
Author(s):  
Mohammad E. Olya ◽  
Masoud B. Kasiri ◽  
Hamid Aleboyeh ◽  
Azam Aleboyeh
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Azo Dye ◽  
Treatment Process ◽  
Advanced Oxidation Process ◽  
Oxidation Process ◽  
Operating Conditions ◽  
Acid Orange 7 ◽  
Acid Orange ◽  
Independent Parameters

AbstractThe mineralization of C.I. Acid Orange 7 (AO7) azo dye by UV/H2O2 Advanced Oxidation Process was studied in a flux through annular photoreactor. An experimental design based on Response Surface Methodology (RSM) was applied to evaluate the simple and combined effects of influencing independent parameters on mineralization efficiency and optimising the operating conditions of the treatment process. A 2

scholarly journals Removing The Acid Orange 12 Azo Dye from Aqueous Solution Using Sodium Hypochlorite, A Kinetic and Thermodynamic Study

2022 ◽  
Vol 961 (1) ◽  
pp. 012056
Author(s):  
A. B. Hameed ◽  
A. B. Dekhyl ◽  
W. M. Sh. Alabdraba
Keyword(s):  
Removal Efficiency ◽  
Sodium Hypochlorite ◽  
Azo Dye ◽  
Advanced Oxidation Process ◽  
Oxidation Process ◽  
Batch Reactor ◽  
Solution Temperature ◽  
Acid Orange ◽  
Initial Ph ◽  
Time Required

Abstract This study investigated the feasibility of using sodium hypochlorite as an advanced oxidation process to remove Acid Orange 12 azo dye from wastewater. For this purpose, batch reactor experiments were done. Several variables to address the efficiency of using this process were considered. These variables are initial pH (5, 7, and 9), the concentration of hypochlorite (50 – 250 mg/l), temperature (20-50) degrees Celsius, and time of electrolysis (1-75) min. also investigate the effects of UV on the process was done. Experimental results showed that the color removal efficiency using NaOCl with UV is more effective than NaOCl alone. The highest removal efficiency was obtained by increasing the concentration of NaOCl from (50-250mg/l) at PH=5. When the solution temperature was increased from (20-50) °C, the removal efficiency increased, and at the same time, the time required was reduced from (20-5) minutes to obtain the highest removal efficiency. The kinetic study also showed that the oxidation process follows a second-order reaction. The thermodynamic functions indicate that the response is spontaneous, endothermic, and increases randomness.

Response Surface Methodology for Optimization and Modeling of Photo-Degradation of Alizarin Cyanine Green and Acid Orange 7 Dyes Using UV/TiO2 Process

2016 ◽  
Vol 855 ◽  
pp. 94-104 ◽  
Author(s):  
Ridham Patel ◽  
Tushar Bhingradiya ◽  
Avinash Deshmukh ◽  
Vimal Gandhi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Statistical Technique ◽  
Acid Orange 7 ◽  
Operational Parameters ◽  
Acid Orange ◽  
First Order Kinetics ◽  
Optimum Parameters ◽  
Degradation Of Dyes ◽  
Face Centered

Textile and dyes industries are generating huge amount of waste water contains significant amount of dyes which are toxic and hazardous for the environment. Recently, advanced oxidation processes (AOPs) have considerable attention because it offers an attractive method for degradation of organic compounds and color from wastewater. The present work is focused on the heterogeneous photocatalytic degradation of Alizarin Cyanine Green and Acid Orange 7 dye using UV/TiO2 process. The degradation of dyes is strongly dependent on the various operational parameters like initial concentration of dye, pH and loading of TiO2. The kinetics of degradation of dye in the solutions was found to pseudo first order kinetics. A statistical technique response surface methodology was employed to study the influence of various operational parameters on degradation efficiency. Three-factor-three-level Face Centered Design was used for design of experiments. For 100 mg/L concentration of Alizarin Cyanine Green and Acid Orange 7 dyes, the optimum parameters were found to be 1.2 gm/L and 1.4 gm/L TiO2 loading for maximum degradation of 97% and 65% respectively.

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