Statistical Optimization of Process Parameters for Dye Biosorption onto Biomass

In the present study, sorption of reactive azo dye, Blue H_3 R from aqueous solution on an efficient, economically biomass (sewage sludge) was investigate. Batch experiments have been carried out to find the effect of various parameters such as initial dye concentration, adsorbent dosage, pH , and temperature on the sorption of dye using biomass. A total of 30 sorption experimental runs were carried out employing the detailed conditions designed by response surface methodology based on the Box-Wilson design is used to optimize the bisorption of dye using Central Composite Design (CCD) model. The analysis of variance (ANOVA) depicted that the quadratic model was suitable for all the responses. The CCD model was designed for parameters using Design Expert software (Version 9.0). The optimum conditions for the sorption of dye were found to be as follows: Initial dye concentration 70 mg/l, biomass concentration 17.5 g/l, pH 3, and temperature 35℃. At these optimized conditions the maximum dye removal efficiency was found to be 91%. A coefficient of determination (R2) value of 0.8919 shows the fitness of RSM in this work.