International Journal of Statistika and Mathematika, ISSN: 2277- 2790 E-ISSN: 2249-8605
Volume 5, Issue 1, Febraury 2013 pp 06-15
Response Surface Methodology for Optimization of Zinc Biosorption By Grewia Orbiculata L.
Rakesh Namdeti, King Pulipati
Environmental Pollution Control Engineering Laboratory, Department of Chemical Engineering, Andhra University College of Engineering, Visakhapatnam - 530003, Andhrapradesh, INDIA.
Academic Editor: Dr. Dase R.K.
Response surface methodology was used to study the effect of various parameters like initial zinc ion concentration, pH, Temperature, biosorbent dosage and to optimize process conditions for the maximum removal of zinc. Batch mode experiments were conducted to determine the isotherms (Langmuir, freundlich, temkin, dubinin radushkevich models), kinetics (Pseudo-first and pseudo second order) and thermodynamic parameters like standard Gibbs free energy (∆G0), enthalpy (∆H0), entropy (∆S0). A 24 full factorial central composite design (CCD) using response surface methodology (RSM) was employed for obtaining the mutual interaction between the variables and optimizing these variables. The most influential factor on each experimental design response was identified from the analysis of variance (ANOVA). The model was statistically tested and verified by experimentation. The response surface methodology indicated that 53.07 mg/l initial zinc concentration, 5.86 pH, 0.27 g biosorbent dosage and a temperature of 39.42 0C were optimal for biosorption of zinc by Grewia Orbiculata L., when 75.86 % of the zinc metal is removed from the solution.