Dyes in the textile industry are the most significant source of pollutants, which cause damaging effects to people’ s health. Reactive black 5 (RD5) is an anionic color that is currently used in the textile industry. This study is designed to provide the strategies to synthesize and characterize the new family of functionalized magnetite nanoparticles via a chemical co-precipitation method with polyaniline modification groups on the surface. The effect of various parameters including pH, the initial concentration of RD5, the mass of adsorbent, contact time, temperature and ionic strength has been studied. Under optimal conditions, 10 ml of RD5 solution with a concentration of 30 mg l-1, 20 mg of adsorbent, pH of 7 and contact time of 10 min, the color was completely removed. The results also showed that adsorption of RD5 followed Langmuir isotherm (R2 = 0. 998) and the maximum RD5 adsorption capacity was 63. 69 mg g-1. The results of kinetic studies also showed that the RD5 removal followed the pseudo-second-order equation with the correlation coefficient of R2 = 0. 9984. The Δ G° was negative at all temperatures which shows that the adsorption process was spontaneous. Conforming to our results, adsorption process by designed magnetic nano-adsorbent is an efficient and affordable method for eliminating RD5 from the textile industry.

The effective removal of heavy metals from industrial wastewater is the most important issues for many industrialized countries and it is big challenge for human being. This research focuses on understanding adsorption process and developing a cost effective technology for treatment of heavy metals-contaminated industrial wastewater. In this investigation the Fe2O3 magnetic nano adsorbents are effective and posse’s high adsorption capacity and efficient removal rate. In this research article iron oxide nano adsorbents have been employed for the removal of Cd (II) ions from aqueous solutions by batch adsorption technique. The amount of Cd (II) ions adsorbed increases as temperature increased. The optimal pH values for Cd (II) ions removal was in between 5.5 to 6.5 different other parameters are also studied such as initial concentration of metals, catalyst dose, contact time etc. The kinetic study also have been investigated for this research article and it is observed that Cd (II) ions removed by Fe2O3 magnetic nano adsorbent obey pseudo first order and pseudo second order kinetics model effectively.

Using density functional theory calculations, we investigated properties of a functionalized carbon nanotube with one mercarzole molecule as a benzimidazole fungicide. Three different configurations are possible depending on the type of functional group used in the structure of mercarzole. We investigated different electronic properties for these configurations such as adsorption energy, band gap energy and charge transfer effects. As a consequence of structural properties the adsorption height and the most stable adsorption configuration are also discussed. It has been found that a mercarzole molecule is adsorbed on the tube surface with adsorption energies in the range of −0.01 to −0.67 eV, and their relative magnitude order is found as follows: imin group > ester group > amin group. Obtained results reveal important features of the adsorption mechanism of mercarzole molecules onto the functionalized carbon nanotubes. This study can be used in farming researches in order to improving cultivation and wellbeing human.

Magnetic nano adsorbent is cost-effective and easily synthesized in the laboratory by chemical Coprecipitation method that provides not only high adsorption capacity but also rapid adsorption rate. The magnetic nano adsorbents were synthesized by Ferric and Ferrous ions precursor solution in the presence of ammonium hydroxide. In the present investigation, a magnetic nano adsorbent has been employed for the removal of Pb (II) from an aqueous solution by batch adsorption technique along with photocatalysis. The different parametric study also carried out such as initial concentration of Pb (II), adsorbent dose, contact time, and Solution pH. The Pb (II) was fast adsorption and the equilibrium was achieved within 45 minutes. The amount Pb (II) adsorbed increases as the temperature increase. The optimal pH for Pb (II) was around 5. 4 and for the removal of Pb (II) ions was up to 96. 00%. The employed adsorbents were characterized by SEM, X-ray diffraction (XRD), Vibrating spinning magnetometer (VSM), and FTIR. The Kinetic of adsorption study was examined for the pseudo-first-order model and pseudo-second-order models. This Photocatalytic adsorption study obeys Pseudo secondorder kinetic. The reusability and regeneration of magnetic nano adsorbents were studied and were recycled up to 87. 00 %.

The purpose of this study was to determine the adsorptive characteristics of a MnWO4/ZnS nanocomposite for removing Amaranth dye from aqueous solution. A simple chemical precipitation approach was used to make the MnWO4/ZnS nanocomposite. The crystal structure, morphology, and pore size of the resulting nanocomposites were evaluated by UV-vis-DRS, FT-IR, XRD, SEM, EDAX and BET. In a laboratory batch adsorption experiment, the effect of operational parameters such as adsorbent dose, starting dye concentration, agitation speed, contact time, and temperature was investigated to optimise the conditions for maximum amaranth removal. To reduce the number of trials and the associated costs, an artificial neural network (ANN) was used to forecast dye removal effectiveness. For amaranth dye, a contact time of 180 minutes, an adsorbent dosage of 0.35 g/l, and an initial dye concentration of 10 M resulted in a 96 percent dye removal. Different models were used to fit the equilibrium isotherm data. Langmuir and Temkin models have high R2 and are in good agreement with the experimental data (0.9966 and 0.9927). T and film diffusion may be involved in the sorption process, according to the kinetic analysis. When the experimental data was compared to the dye adsorption efficiency predicted by the artificial neural network model, it was discovered that this model can accurately predict the behaviour of the amaranth dye adsorption process on MnWO4/ZnS under various conditions.