Adsorption Studies of Nickel(II) Metal Ions Uptake Using Fe3O4 Magnetic Nanoadsorbent

Authors

  • Layth Imad Abd Ali Separation Science and Technology Group (SepSTec), Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Malaysia
  • Wan Aini Wan Ibrahima Separation Science and Technology Group (SepSTec), Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Malaysia
  • Azli Sulaiman Separation Science and Technology Group (SepSTec), Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Malaysia
  • Mohd Marsin Sanagi Nanotechnology Research Alliance, Universiti Teknologi Malaysia, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor Malaysia

DOI:

https://doi.org/10.11113/jt.v71.3864

Keywords:

Fe3O4 magnetic nanoparticles, adsorption, nickel (ii) ions, langmuir and freundlich models

Abstract

In the present study, Fe3O4 magnetic nanoparticles (MNPs) synthesized in-housed using co-precipitation method was applied for the treatment of aqueous solutions contaminated by Ni(II) ions. Experimental results indicated that at 25ºC, the optimum pH value for Ni(II) removal was pH 6.0 and an adsorbent dose of 60.0 mg.  The adsorption capacity of Fe3O4 nanoparticles for Ni(II) is 20.54 mg g−1. Adsorption kinetic rates were found to be fast; total equilibrium was achieved after 180 min. Kinetic experimental data fitted very well the pseudo-second order equation and the value of adsorption rate constants was calculated to be 0.004 and 0.0008 g mg−1 min at 5 and 40 mg L−1 initial Ni(II) concentrations, respectively. The equilibrium isotherms were evaluated in terms of maximum adsorption capacity and adsorption affinity by the application of Langmuir and Freundlich equations. The maximum monolayer capacity obtained from the Langmuir isotherm was 24.57 mg g−1 for Ni(II). Results indicate that the Langmuir model fits adsorption isotherm data better than the Freundlich model.

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Published

2014-12-30