Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite

In this work, the adsorption process of methyl orange (MO) removal by a magnetic chitosan with an Al2O3/Fe3O4 core was optimized using the experimental design method in order to maximize the removal efficiency. Response surface methodology (RSM) based on central composite design (CCD) was performed...

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Main Authors: Ali Ayati, Ali Zeraatkar Moghaddam, Bahareh Tanhaei, Fatemeh Deymeh, Mika Sillanpaa
Format: Article
Language:English
Published: Society of Chemists and Technologists of Macedonia 2017-05-01
Series:Macedonian Journal of Chemistry and Chemical Engineering
Subjects:
Online Access:https://mjcce.org.mk/index.php/MJCCE/article/view/991
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spelling doaj-36b36d635c7244b7a60c2885a03553222021-02-25T08:35:54ZengSociety of Chemists and Technologists of MacedoniaMacedonian Journal of Chemistry and Chemical Engineering1857-55521857-56252017-05-0136114315110.20450/mjcce.2017.991322Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocompositeAli Ayati0Ali Zeraatkar MoghaddamBahareh TanhaeiFatemeh DeymehMika SillanpaaDepartment of Chemical Engineering, Quchan University of Advanced Technology, Quchan, Iran.In this work, the adsorption process of methyl orange (MO) removal by a magnetic chitosan with an Al2O3/Fe3O4 core was optimized using the experimental design method in order to maximize the removal efficiency. Response surface methodology (RSM) based on central composite design (CCD) was performed to find the relationship between the effective adsorption parameters on the MO removal efficiency as the response. The statistical parameters of the derived model were acquired: R2 = 0.9799 and F value = 47.07. Finally, non-linear optimization was carried out and values of 6.5, 0.70 g l–1, 30 ppm, and 60 min were obtained as the optimum values for pH, adsorbent dosage, initial concentration, and contact time, respectively, while the predicted MO removal efficiency was found to be 96.8 ± 2.2% (with a 95% confidence level). This was in agreement with the experimental response of 96.5 ± 1.4%.https://mjcce.org.mk/index.php/MJCCE/article/view/991adsorptionoptimizationchitosanmagneticresponse surface methodology.
collection DOAJ
language English
format Article
sources DOAJ
author Ali Ayati
Ali Zeraatkar Moghaddam
Bahareh Tanhaei
Fatemeh Deymeh
Mika Sillanpaa
spellingShingle Ali Ayati
Ali Zeraatkar Moghaddam
Bahareh Tanhaei
Fatemeh Deymeh
Mika Sillanpaa
Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite
Macedonian Journal of Chemistry and Chemical Engineering
adsorption
optimization
chitosan
magnetic
response surface methodology.
author_facet Ali Ayati
Ali Zeraatkar Moghaddam
Bahareh Tanhaei
Fatemeh Deymeh
Mika Sillanpaa
author_sort Ali Ayati
title Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite
title_short Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite
title_full Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite
title_fullStr Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite
title_full_unstemmed Response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite
title_sort response surface methodology approach for optimization of methyl orange adsorptive removal by magnetic chitosan nanocomposite
publisher Society of Chemists and Technologists of Macedonia
series Macedonian Journal of Chemistry and Chemical Engineering
issn 1857-5552
1857-5625
publishDate 2017-05-01
description In this work, the adsorption process of methyl orange (MO) removal by a magnetic chitosan with an Al2O3/Fe3O4 core was optimized using the experimental design method in order to maximize the removal efficiency. Response surface methodology (RSM) based on central composite design (CCD) was performed to find the relationship between the effective adsorption parameters on the MO removal efficiency as the response. The statistical parameters of the derived model were acquired: R2 = 0.9799 and F value = 47.07. Finally, non-linear optimization was carried out and values of 6.5, 0.70 g l–1, 30 ppm, and 60 min were obtained as the optimum values for pH, adsorbent dosage, initial concentration, and contact time, respectively, while the predicted MO removal efficiency was found to be 96.8 ± 2.2% (with a 95% confidence level). This was in agreement with the experimental response of 96.5 ± 1.4%.
topic adsorption
optimization
chitosan
magnetic
response surface methodology.
url https://mjcce.org.mk/index.php/MJCCE/article/view/991
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AT baharehtanhaei responsesurfacemethodologyapproachforoptimizationofmethylorangeadsorptiveremovalbymagneticchitosannanocomposite
AT fatemehdeymeh responsesurfacemethodologyapproachforoptimizationofmethylorangeadsorptiveremovalbymagneticchitosannanocomposite
AT mikasillanpaa responsesurfacemethodologyapproachforoptimizationofmethylorangeadsorptiveremovalbymagneticchitosannanocomposite
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