The hopping charge transfer between polarons and bipolarons and metal-like band structure in polaron lattice of polyaniline makes it of high scientific worth. With above views polyaniline has been deposited on paper by a low cost chemical method to make the paper electrically conductive and functional. The prepared conductive papers were characterized using X-ray diffraction measurement, FTIR, UV–vis–NIR spectrophotometric measurement, and electrical conductivity measurement. Impressive electrical properties with good optical transparency were obtained with a highest light transmittance of 94.0% at 550 nm and electrical sheet resistance of 8.92 × 105 Ω/□. In addition, repeated cycles of deformation of the electrically conductive polyaniline incorporated flexible paper do not produce any noticeable change in its electrical conductivity and optical absorbance. The electrically conductive papers are of significant interest in preparing flexible and foldable circuits. The polyaniline-deposited conductive papers are of low cost, and these are environmentally stable.

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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.

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A B S T R A C TNanoparticles of α-Fe 2 O 3 were synthesized by simple chemical precipitation method and characterized by X-ray diffraction study, scanning electron microscopy, and Fourier transform infrared spectroscopy. Feasibility of as-synthesized nanoparticles was investigated for adsorptive removal of methyl orange (MO) dye from aqueous solution. The effects of various experimental parameters such as solution pH, initial MO concentration, contact time, and α-Fe 2 O 3 nanoparticles dose were studied in batch mode. More than 90% removal was reported at pH 2.0 with 30 mg L −1 initial MO concentration treated with 1.00 g L −1 adsorbent dose. Isotherm study reveals that Langmuir isotherm model is the most efficient one in explaining the process and maximum adsorption capacity as much as 28.90 mg g −1 is reported. Kinetic study shows that the adsorption process is best explained by second-order kinetic model confirming the dominancy of chemisorption in the process. Subsequently, the experimental data were modeled by artificial neural network to predict the removal efficiency of MO by α-Fe 2 O 3 nanoparticles following conduction of 95 experimental data points. A three-layer feed-forward back-propagation model with Levenberg-Marquardt algorithm was developed which show that the optimal network topology is 4-10-1. Model predicted data shows very good agreement with experimental data set with mean squared error and coefficient of determination (R 2 ) as 0.00152 and 0.9916, respectively.

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