Modeling simultaneous removal of saffranine-o and methylviolet onto modified pine cone powder

In the present work, for the first time, the simultaneous determination of Saffranin-O (SO) and Methyl violet (MV) dyes with overlapped absorption spectra in binary mixture solution, was carreid out using the partial least squares (PLS) method. Then the pine cone powder (PCP), an abundant agricultural waste, were modified using Isopropylidene malonate in a solvent free reaction[1] and charectrized by FT-IR, X-ray diffraction (XRD), and scanning electrom microscopic (SEM) analyses. The performance of the modified PCP as a new adsorbent was investigated for the removal of Saffranin-O (SO) and Methyl violet (MV) dyes from single solution and binary mixtures. Different isotherms were used to model the equilibrium data obtained for SO and MV dyes in single and binary system using the non-linear regression in the Matlab software. Analysis data show that Langmuire isotherm can satisfactory explain the equilibrium data. Also the adsorption kinetic was successfully simulated using the pseudo-second-order kinetic model. In continuance the experimental factors such as the initial pH, adsorbent dosage, dye concentration, and contact time were used as input variables to the random forest (RF) [2], artificial neural network (ANN), and multiple linear regression (MLR) to predict the removal percentage of SO and MV in binary mixture. The validation of these models were made using the test set (do not participate in the modeling). According to the result obtained, the artificial neural network was more appropriate to describe the behavior of the sorption process under different conditions and can be applied to the development of an automated dye wastewater removal plant.