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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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 |
work_keys_str_mv |
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