4.4 Article

Adsorption Performance of Zeolite for the Removal of Congo Red Dye: Factorial Design Experiments, Kinetic, and Equilibrium Studies

Journal

SEPARATIONS
Volume 10, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/separations10010057

Keywords

Congo red dye; adsorption; batch mode; zeolite; kinetics; isotherm; full factorial design experiments

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In this research, zeolite was used to remove toxic Congo red dye from water solution. The effects of different operating conditions on the adsorption of Congo red were investigated, and it was found that the initial pH had a significant impact on the adsorption process, with acidic conditions improving the adsorption efficiency.
In the present research, zeolite is used for the removal of toxic Congo red dye from water solution. The effects of different operating conditions such as hydrogen potential (pH), contact time (time), zeolite dose (D), initial dye concentration (C-0), and ionic strength (I) are investigated for Congo red adsorption under batch mode. It was found that the adsorption process was greatly affected by the initial pH of the dye solution. The removal efficiency decreased from 97.68 to 5.22% when the pH varied from 3 to 5; thus, acidic conditions clearly improve Congo red adsorption on zeolite. At pH 3, an increase in C-0 and I and decrease in D resulted in an increase in the adsorption capacity q(e). The effects of these three parameters and their interactions were also investigated using the 2(3) full factorial design experiments approach where q(e) was chosen as the response. The results obtained from this method followed by the analysis of variance and the Student's t-test show that, the influence of these parameters on dye adsorption process are in the order I < C-0 < D. The kinetic studies revealed that adsorption follows a pseudo-second-order kinetic model. The adsorption isotherms experimental data were analyzed using the Langmuir, Freundlich, and Temkin isotherms models. The Freundlich isotherm was the best-fit model to the experimental data. The fitting of kinetics and isotherm models was evaluated by using non-linear modeling, R-2, MSE, and RMSE.

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