Adsorption of Cr(VI) Using a Hybrid Evolutionary Differential and Multivariable Quadratic Technique

Chromium is released by process industries and natural activities into water bodies. The compounds are highly toxic and possess harmful effects on human beings and aquatic life. A low-cost agricultural biomass waste (sugarcane bagasse)-derived sorbent was utilized for enhanced Cr(VI) removal from aqueous solutions, applying hybrid differential evolutionary optimization for isotherm/kinetic models and a multivariable quadratic technique for sorption process optimization. To improve the sorption efficacy, a novel inverse modeling approach was employed to evaluate the isotherm and kinetic model parameters. The model predictions from the multivariable quadratic model were well validated with the experimental values.