Preparation and Application of Graphene Oxide Modified with Lauric Acid to Copper Removal from Aqueous Solution: Modeling, Kinetics, Isotherm and Thermodynamics Adsorption

Increasing environmental pollution caused by the discharge of wastewater caused serious problems because of the effect on health, especially the brain and liver and biological accumulation of it. The aim of this study was to assess the efficacy of magnetic graphene oxide as a sorbent for the removal of copper from aqueous solutions in the laboratory.
Physical characteristics and morphology of synthesized adsorbent wereanalyzed using FT-IR, SEM, XRD, EDX, VSM, BET and TEM techniques. In this study, the effects of impact, including the effect of time (30-180), temperature (20-60), concentration (60-500) and pH (1-5) for the removal of copper with design of experiments have been optimized. For this purpose, 30 experiment and response surface method using a central composite design software Design Expert 7.0.0 Trial was developed on five levels.
The Langmuir and Freundlich isotherm were absorbed. The results showed that Langmuir and Freundlich isotherm data was fitted with both models. By utilizing the model Langmuir maximum adsorption capacity was 99 mg g-1. Pseudo-first-order and pseudo-second order kinetic data were used to describe the pseudo-second order model was the result of fitted. Thermodynamic parameters indicated that the adsorption process of Cu2 ions was spontaneous, feasible, endothermic and physical in nature.
The present study concludes that the magnetic graphene oxide could be employed as low-cost adsorbent for the removal of Cu2 ions from aqueous solutions due to fast kinetics, high adsorption capacity.