Optimization of Reactive Black 5 removal by adsorption process using Box–Behnken design

AbstractOptimization of process parameters is an important part of any process development. Maximum efficiency of any process is achievable when it runs at optimum condition. In this paper, optimization of Reactive Black 5 adsorption on TiO2 surface was carried out. Adsorption of dye depends on many process parameters like pH, adsorbent dose, initial dye concentration, and adsorption time. In this study, adsorption efficiency has been optimized based on those process parameters. Response surface methodology has been used for optimization as it has many advantages over classical optimization methods. Box–Behnken design was employed to design the experiment. For regression analysis and ANOVA study, software MINITAB 15 was used. All factors in regression equation are not equally important. Pareto analysis has been employed to find the most influential process parameters. The analysis shows that pH is the dominating factor during dye adsorption. This study confirms that more than 98% dye removal is possible a...

[1]  Nuran Deveci Aksoy,et al.  Adsorption of chromium on chitosan: Optimization, kinetics and thermodynamics , 2009 .

[2]  S. Dutta,et al.  Adsorptive removal of chromium (VI) from aqueous solution over powdered activated carbon: Optimisation through response surface methodology , 2011 .

[3]  A. Khataee,et al.  Application of response surface methodology for optimization of peroxi-coagulation of textile dye solution using carbon nanotube-PTFE cathode. , 2010, Journal of hazardous materials.

[4]  Douglas C. Montgomery,et al.  Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[5]  M. Deaton,et al.  Response Surfaces: Designs and Analyses , 1989 .

[6]  Huaili Zheng,et al.  Optimization for decolorization of azo dye acid green 20 by ultrasound and H2O2 using response surface methodology. , 2009, Journal of hazardous materials.

[7]  H. Younesi,et al.  Biosorption equilibria of binary Cd(II) and Ni(II) systems onto Saccharomyces cerevisiae and Ralstonia eutropha cells: application of response surface methodology. , 2009, Journal of hazardous materials.

[8]  Arvind Kumar,et al.  Optimization of an azo dye batch adsorption parameters using Box-Behnken design. , 2009 .

[9]  Pen-Chi Chiang,et al.  Decolorization of Wastewater , 2000 .

[10]  A. Bhatnagar,et al.  Box–Behnken design optimization of Acid Black 1 dye biosorption by different brown macroalgae , 2012 .

[11]  S. Dutta,et al.  Kinetic study of adsorption and photo-decolorization of Reactive Red 198 on TiO2 surface , 2009 .

[12]  Bo Jin,et al.  Response surface optimization of photocatalytic process for degradation of Congo Red using H-titanate nanofiber catalyst , 2010 .

[13]  Antoni W. Morawski,et al.  The pH influence on photocatalytic decomposition of organic dyes over A11 and P25 titanium dioxide , 2003 .

[14]  Marius S. Secula,et al.  Response surface optimization of the photocatalytic decolorization of a simulated dyestuff effluent , 2008 .

[15]  S. Chakraborty,et al.  Adsorption of Crystal Violet from aqueous solution onto NaOH-modified rice husk , 2011 .

[16]  G. Box,et al.  On the Experimental Attainment of Optimum Conditions , 1951 .

[17]  C. C. Tsao,et al.  Comparison between response surface methodology and radial basis function network for core-center drill in drilling composite materials , 2008 .