Optimization of adsorption parameters for Fe (III) ions removal from aqueous solutions by transition metal oxide nanocomposite

Manganese oxide nanocomposite (Mn2O3/Mn3O4) was prepared by sol-gel technique and used as an adsorbent. Fourier Transform Infrared (FTIR) spectroscopy, X-ray diffraction (XRD), and Field Emission Scanning Electron Microscopy (FE-SEM) were used to characterize the adsorbent. The response surface meth...

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Main Authors: Narges Samadani Langeroodi, Zhaleh Farhadravesh, Aliakbar Dehno Khalaji
Format: Article
Language:English
Published: Taylor & Francis Group 2018-10-01
Series:Green Chemistry Letters and Reviews
Subjects:
Online Access:http://dx.doi.org/10.1080/17518253.2018.1526329
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spelling doaj-712d638d27ac4a11b8a34b7d15a03a1c2020-11-24T21:53:58ZengTaylor & Francis GroupGreen Chemistry Letters and Reviews1751-82531751-71922018-10-0111440441310.1080/17518253.2018.15263291526329Optimization of adsorption parameters for Fe (III) ions removal from aqueous solutions by transition metal oxide nanocompositeNarges Samadani Langeroodi0Zhaleh Farhadravesh1Aliakbar Dehno Khalaji2Golestan UniversityGolestan UniversityGolestan UniversityManganese oxide nanocomposite (Mn2O3/Mn3O4) was prepared by sol-gel technique and used as an adsorbent. Fourier Transform Infrared (FTIR) spectroscopy, X-ray diffraction (XRD), and Field Emission Scanning Electron Microscopy (FE-SEM) were used to characterize the adsorbent. The response surface methodology (RSM) was employed to evaluate the effects of solution pH, initial Fe (III) ions concentration, adsorbent weight, and contact time on the removal ratio of the Fe (III) ions. A total of 27 adsorption experimental runs were carried out employing the detailed conditions designed based on the Box-Behnken design (BBD). Results showed that the pH of the solution and initial Fe (III) ions concentration were the most significant parameters for Fe (III) ions removal. In process optimization, the maximal value of the removal ratio of Fe (III) was achieved as 95.80%. Moreover, the corresponding optimal parameters of adsorption process were as: contact time = 62.5 min, initial Fe (III) concentration = 50 mg/L, adsorbent weight = 0.5 g, and pH = 5. The experimental confirmation tests showed a strong correlation between the predicted and experimental responses (R2 = 0.9803). The fitness of equilibrium data to common isotherm equations such as Langmuir, Freundlich, and Temkin were also tested. The sorption isotherm of adsorbent was best described by the Langmuir model. The kinetic data were analyzed using pseudo-first-order, pseudo-second-order, intraparticle diffusion, and Elovich kinetic models. The adsorption kinetics of Fe (III) ions were well fitted with the pseudo-second-order kinetic model.http://dx.doi.org/10.1080/17518253.2018.1526329Nanocompositeadsorptionresponse surfaceequilibrium isothermskinetics
collection DOAJ
language English
format Article
sources DOAJ
author Narges Samadani Langeroodi
Zhaleh Farhadravesh
Aliakbar Dehno Khalaji
spellingShingle Narges Samadani Langeroodi
Zhaleh Farhadravesh
Aliakbar Dehno Khalaji
Optimization of adsorption parameters for Fe (III) ions removal from aqueous solutions by transition metal oxide nanocomposite
Green Chemistry Letters and Reviews
Nanocomposite
adsorption
response surface
equilibrium isotherms
kinetics
author_facet Narges Samadani Langeroodi
Zhaleh Farhadravesh
Aliakbar Dehno Khalaji
author_sort Narges Samadani Langeroodi
title Optimization of adsorption parameters for Fe (III) ions removal from aqueous solutions by transition metal oxide nanocomposite
title_short Optimization of adsorption parameters for Fe (III) ions removal from aqueous solutions by transition metal oxide nanocomposite
title_full Optimization of adsorption parameters for Fe (III) ions removal from aqueous solutions by transition metal oxide nanocomposite
title_fullStr Optimization of adsorption parameters for Fe (III) ions removal from aqueous solutions by transition metal oxide nanocomposite
title_full_unstemmed Optimization of adsorption parameters for Fe (III) ions removal from aqueous solutions by transition metal oxide nanocomposite
title_sort optimization of adsorption parameters for fe (iii) ions removal from aqueous solutions by transition metal oxide nanocomposite
publisher Taylor & Francis Group
series Green Chemistry Letters and Reviews
issn 1751-8253
1751-7192
publishDate 2018-10-01
description Manganese oxide nanocomposite (Mn2O3/Mn3O4) was prepared by sol-gel technique and used as an adsorbent. Fourier Transform Infrared (FTIR) spectroscopy, X-ray diffraction (XRD), and Field Emission Scanning Electron Microscopy (FE-SEM) were used to characterize the adsorbent. The response surface methodology (RSM) was employed to evaluate the effects of solution pH, initial Fe (III) ions concentration, adsorbent weight, and contact time on the removal ratio of the Fe (III) ions. A total of 27 adsorption experimental runs were carried out employing the detailed conditions designed based on the Box-Behnken design (BBD). Results showed that the pH of the solution and initial Fe (III) ions concentration were the most significant parameters for Fe (III) ions removal. In process optimization, the maximal value of the removal ratio of Fe (III) was achieved as 95.80%. Moreover, the corresponding optimal parameters of adsorption process were as: contact time = 62.5 min, initial Fe (III) concentration = 50 mg/L, adsorbent weight = 0.5 g, and pH = 5. The experimental confirmation tests showed a strong correlation between the predicted and experimental responses (R2 = 0.9803). The fitness of equilibrium data to common isotherm equations such as Langmuir, Freundlich, and Temkin were also tested. The sorption isotherm of adsorbent was best described by the Langmuir model. The kinetic data were analyzed using pseudo-first-order, pseudo-second-order, intraparticle diffusion, and Elovich kinetic models. The adsorption kinetics of Fe (III) ions were well fitted with the pseudo-second-order kinetic model.
topic Nanocomposite
adsorption
response surface
equilibrium isotherms
kinetics
url http://dx.doi.org/10.1080/17518253.2018.1526329
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