Synthesis of nanostructured adsorbent and dye adsorption modeling by an intelligent model for multicomponent systems

beta-Ni(OH)(2) nanoparticle was synthesized and used as an adsorbent. The prepared adsorbent was characterized by scanning electron microscopy (SEM), field emission scanning electron microscopy (FESEM), Fourier transform infrared (FTIR) and X-ray diffraction (XRD). Least square support vector machine (LSSVM) as an intelligent model was applied for modeling of dye removal based on experimental data obtained from laboratory. The nanostructured adsorbent was used to remove three cationic dyes (BB41: Basic blue 41, BR18: Basic Red 18 and BR46: Basic Red 46) from single and binary systems at room temperature. The kinetics and isotherm of dye adsorption was studied. The effects of adsorbent dosage and initial dye concentration were elucidated. The kinetic studies showed that the adsorption data followed pseudo-second order kinetics model. The isotherm analysis indicates that the adsorption data can be represented by Langmuir in single systems. Based on graphical plots and the values of statistical parameter, LSSVM as an intelligent model is suitable for modeling of dye adsorption from single and binary systems.