Mixed phase Fe₂O₃/Mn₃O₄ magnetic nanocomposite for enhanced adsorption of methyl orange dye: Neural network modeling and response surface methodology optimization

Abstract

In this research, a novel magnetic mesoporous adsorbent with mixed phase of Fe2O3/Mn3O4 nanocomposite was prepared by a facile precipitating method and characterized extensively. The prepared nanocomposite was used as adsorbent for toxic methyl orange (MO) dye removal from aqua matrix considering its high surface area (178.27 m2/g) with high saturation magnetization (23.07 emu/g). Maximum dye adsorption occurs at solution pH 2.0 and the electrostatic attraction between anionic form of MO dye molecules and the positively charged nanocomposite surface is the main driving force behind this adsorption. Response surface methodology (RSM) was used for optimizing the process variables and maximum MO removal of 97.67% is obtained at optimum experimental condition with contact time, adsorbent dose and initial MO dye concentration of 45 min, 0.87 g/l and 116 mg/l, respectively. Artificial neural network (ANN) model with optimum topology of 3–5–1 was developed for predicting the MO removal (%), which has shown higher predictive ability than RSM model. Maximum adsorption capacity of this nanocomposite was found to be 322.58 mg/g from Langmuir isotherm model. Kinetic studies reveal the applicability of second‐order kinetic model with contribution of intra‐particle diffusion in this process.

Synthesis of sewage sludge‐based carbon/TiO2/ZnO nanocomposite adsorbent for the removal of Ni(II), Cu(II), and chemical oxygen demands from aqueous solutions and industrial wastewater

“…To investigate the simultaneous effect of parameters on the response and optimization of parameters, the response surface methodology (RSM) is a useful statistical technique by reducing the number of experiments (Aliabadi, Irani, Ismaeili, & Najafzadeh, 2014;Karri, Tanzifi, et al, 2018;Tripathy, Ramesh, Debnath, & Kumar, 2019). Among RSM approaches, the central composite design (CCD) (Zare-Dorabei, Ferdowsi, Barzin, & Tadjarodi, 2016;Zolgharnein, Shahmoradi, & Ghasemi, 2013) and Box-Behnken design (BBD) (Bhowmik, Deb, Debnath, & Saha, 2018;Deb, Kanmani, Debnath, Bhowmik, & Saha, 2019;Ebrahimzadeh, Behbahani, Yamini, Adlnasab, & Asgharinezhad, 2013) have RESEARCH ARTICLE been extensively used for optimization of adsorption process. Among these methods, CCD has better prediction compared with BBD method (Zolgharnein et al, 2013).…”

Fabrication of mixed phase calcium ferrite and zirconia nanocomposite for abatement of methyl orange dye from aqua matrix: Optimization of process parameters

“…The most common quadratic regression model used in RSM under optimum condition can be expressed as follows: where y represents the system response (output), k is the number of independent variables, i and j are index numbers for independent variables, β 0 ,β i ,β ii ,β ij are regression coefficients for intercept, linear, quadratic and interaction coefficients respectively, X i ........X k are coded independent variables . The central composite design (CCD) is the most popularly used second order RSM design in order to generate a model equation which optimizes the system response . In this study, a five level four factor, thirty experimental run CCD was used to maximize the MO dye removal (%) by evaluating the effects of four independent variables such as initial MO concentration (X 1 ), adsorbent dose (X 2 ), contact time (X 3 ), and reaction temperature (X 4 ) .…”

Ammonium nitrogen adsorption from aqueous solution by poly(sodium acrylate)s: Effect on the amount of crosslinker and initiator

“…This is because of the complicated adsorption force derived from covalent bonding, electrostatic interactions, or even physical interactions that lead to good absorption efficiency in the short time and regeneration without the need for large amounts of chemicals. [25][26][27] With these characteristics, the polymer hydrogels are widely used in drug delivery and removal dye, organic, heavy metal pollutants from aqueous solution. [28][29][30][31][32] To date, however, only a few polymer hydrogels for ammonium nitrogen removal have been reported, and most of them are prepared from poly(acrylic acid) (PAA) and their organic/inorganic composites.…”