Batch Adsorption Studies for the Removal of Cu (II) Ions by ZeoliteNaX from Aqueous Stream
Pankaj Kumar Pandey, Surinder Singh Sambi, Sangeeta Sharma, Surinder Singh
Abstract
Pankaj Kumar Pandey, Surinder Singh Sambi, Sangeeta Sharma, Surinder Singh
Abstract
The critical parameters affecting the adsorption of Cu (II) ions are investigated by utilizing ZeoliteNaX as the potential adsorbent. The adsorption of Cu(II) is strongly dependent on pH, temperature, contact time and initial adsorbate concentration. The equilibrium sorption isotherms are analyzed by the Langmuir and the Freundlich isotherms. The pH is varied from 3 to 8 and the optimum pH for Cu(II) removal is found out to be 6.0. The removal of Cu(II) ions increases with time and attains saturation in about 60-120 min. The equilibrium data shows the endothermic nature of adsorption. The thermodynamic parameters are obtained from the equilibrium data. Kinetics data show that at higher temperatures, the rate of adsorption is higher for ZeoliteNaX. Kinetics studies show that Lagergren equation successfully describes the adsorption process.
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The critical parameters affecting the adsorption of Cu (II) ions are investigated by utilizing ZeoliteNaX as the potential adsorbent. The adsorption of Cu(II) is strongly dependent on pH, temperature, contact time and initial adsorbate concentration. The equilibrium sorption isotherms are analyzed by the Langmuir and the Freundlich isotherms. The pH is varied from 3 to 8 and the optimum pH for Cu(II) removal is found out to be 6.0. The removal of Cu(II) ions increases with time and attains saturation in about 60-120 min. The equilibrium data shows the endothermic nature of adsorption. The thermodynamic parameters are obtained from the equilibrium data. Kinetics data show that at higher temperatures, the rate of adsorption is higher for ZeoliteNaX. Kinetics studies show that Lagergren equation successfully describes the adsorption process.
Key concepts: Adsorption, Endothermic process, Chemistry, Aqueous solution, Sorption, Freundlich equation, Langmuir, Saturation (graph theory)