Nanostructured adsorbent (MnO2): Synthesis and least square support vector machine modeling of dye removal

In this study, MnO2 nanoparticle was synthesized by a simple method. Dye removal ability of the synthesized nanoparticle was investigated. Basic Blue 41 (BB41), Basic Red 46 (BR46), and Basic Red 18 (BR18) were used as model compounds. The structure of the synthesized adsorbent was characterized by scanning electron microscopy and Fourier transform infrared techniques. Least square support vector machine (LSSVM) was used to model the dye removal. The graphical plots and the values of statistical parameter showed LSSVM as an intelligent model suitable for modeling of dye adsorption. The effect of adsorbent dosage and initial dye concentration on dye removal was investigated. The kinetic and isotherm of the adsorption process were studied. The studies confirmed that the adsorption of BB41, BR46, and BR18 followed the Freundlich, Langmuir, and Freundlich isotherms, respectively. Adsorption kinetic of dyes was found to conform to pseudo-second-order kinetic model.