Abstract
The nonviable biomass of Rhizopus sp. R-18, Penicillium candidum and Penicillium chrysogenum was studied for biosorption of methylene blue (MB). The sorption of MB was studied be performing batch kinetic experiments. Kinetic measurements showed that sorption of MB reached equilibrium in 4 hours. The batch sorption models, based on a pseudo-first, pseudo-second and pseudo-nth order were applied to predict the rate constant of sorption and the equilibrium capacity. The linear and nonlinear least-square methods were used to obtain the kinetic parameters. The best-fit model was identified using statistic analysis. The results showed that both linear and nonlinear form of pseudo- second order expression could be used to fit the experimental data but nonlinear method may be a better way to obtain the desired parameters. As well the pseudo n-th order kinetic model was successfully applied to the kinetic data. The order (n) of adsorption reaction was found for all employed biosorbents: for Rhizopus sp. R-18 it had value 3.1, P. candidum 3.0 and P. chrysogenum 3.8.
Highlights
Environmental pollution due to technological development is one of the most important problems than men have to face
Two important physico-chemical aspects for evaluation of a sorption process as a unit operation are the equilibrium of the sorption and the sorption kinetics (HO et al, 2000)
Several researchers have used different kinetic models to predict the mechanism involved in the sorption process
Summary
Environmental pollution due to technological development is one of the most important problems than men have to face. Two important physico-chemical aspects for evaluation of a sorption process as a unit operation are the equilibrium of the sorption and the sorption kinetics (HO et al, 2000). Predicting the rate at which the pollutants removal takes place in a given solid/solution system is one of the most crucial factors for the effective sorption system design. Chemical kinetics explains how fast the rate of chemical reaction occurs and the factors affecting the reaction rate. Several researchers have used different kinetic models to predict the mechanism involved in the sorption process. These models can be divided into two main types: diffusion based models and reaction based models (AL-DEGS et al, 2006; SVILOVIĆ and STIPIŠIĆ, 2009). We used reaction based models, namely Lagergren pseudo-first order kinetic model, pseudo-second order model and pseudo-nth order kinetic model for prediction of batch sorption kinetics
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