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Fixed-bed adsorption of Pb(ii) and Cu(ii) from multi-metal aqueous systems onto cellulose-g-hydroxyapatite granules: optimization using response surface methodology

We prepared cellulose microfibrils-g-hydroxyapatite (CMFs-g-HAP(N) (8%)) in a granular form. We evaluated the ability of these granules to eliminate Pb(ii) and Cu(ii) ions from aqueous solution in dynamic mode using a fixed-bed adsorption column. Several operating parameters (inlet ion concentration...

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Autores principales: Marrane, Salah Eddine, Dânoun, Karim, Essamlali, Youness, Aboulhrouz, Soumia, Sair, Said, Amadine, Othmane, Jioui, Ilham, Rhihil, Abdallah, Zahouily, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618904/
https://www.ncbi.nlm.nih.gov/pubmed/37920194
http://dx.doi.org/10.1039/d3ra04974d
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author Marrane, Salah Eddine
Dânoun, Karim
Essamlali, Youness
Aboulhrouz, Soumia
Sair, Said
Amadine, Othmane
Jioui, Ilham
Rhihil, Abdallah
Zahouily, Mohamed
author_facet Marrane, Salah Eddine
Dânoun, Karim
Essamlali, Youness
Aboulhrouz, Soumia
Sair, Said
Amadine, Othmane
Jioui, Ilham
Rhihil, Abdallah
Zahouily, Mohamed
author_sort Marrane, Salah Eddine
collection PubMed
description We prepared cellulose microfibrils-g-hydroxyapatite (CMFs-g-HAP(N) (8%)) in a granular form. We evaluated the ability of these granules to eliminate Pb(ii) and Cu(ii) ions from aqueous solution in dynamic mode using a fixed-bed adsorption column. Several operating parameters (inlet ion concentration, feed flow rate, bed height) were optimized using response surface methodology (RSM) based on a Doehlert design. Based on ANOVA and regression analyses, adsorption was found to follow the quadratic polynomial model with p < 0.005, R(2) = 0.976, and R(2) = 0.990, respectively, for Pb(ii) and Cu(ii) ions. Moreover, three kinetic models (Adams–Bohart, Thomas, Yoon–Nelson) were applied to fit our experimental data. The Thomas model and Yoon–Nelson model represented appropriately the whole breakthrough curves. The Adams–Bohart model was suitable only for fitting the initial part of the same curves. Our adsorbent exhibited high selectivity towards Pb(ii) over Cu(ii) ions in the binary metal system, with a maximum predicted adsorption capacity of 59.59 ± 3.37 and 35.66 ± 1.34 mg g(−1), respectively. Under optimal conditions, multi-cycle sorption–desorption experiments indicated that the prepared adsorbent could be regenerated and reused up to four successive cycles. The prepared CMFs-g-HAP(N) was an efficient and effective reusable adsorbent for removal of heavy metals from aqueous systems, and could be a suitable candidate for wastewater treatment on a large scale.
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spelling pubmed-106189042023-11-02 Fixed-bed adsorption of Pb(ii) and Cu(ii) from multi-metal aqueous systems onto cellulose-g-hydroxyapatite granules: optimization using response surface methodology Marrane, Salah Eddine Dânoun, Karim Essamlali, Youness Aboulhrouz, Soumia Sair, Said Amadine, Othmane Jioui, Ilham Rhihil, Abdallah Zahouily, Mohamed RSC Adv Chemistry We prepared cellulose microfibrils-g-hydroxyapatite (CMFs-g-HAP(N) (8%)) in a granular form. We evaluated the ability of these granules to eliminate Pb(ii) and Cu(ii) ions from aqueous solution in dynamic mode using a fixed-bed adsorption column. Several operating parameters (inlet ion concentration, feed flow rate, bed height) were optimized using response surface methodology (RSM) based on a Doehlert design. Based on ANOVA and regression analyses, adsorption was found to follow the quadratic polynomial model with p < 0.005, R(2) = 0.976, and R(2) = 0.990, respectively, for Pb(ii) and Cu(ii) ions. Moreover, three kinetic models (Adams–Bohart, Thomas, Yoon–Nelson) were applied to fit our experimental data. The Thomas model and Yoon–Nelson model represented appropriately the whole breakthrough curves. The Adams–Bohart model was suitable only for fitting the initial part of the same curves. Our adsorbent exhibited high selectivity towards Pb(ii) over Cu(ii) ions in the binary metal system, with a maximum predicted adsorption capacity of 59.59 ± 3.37 and 35.66 ± 1.34 mg g(−1), respectively. Under optimal conditions, multi-cycle sorption–desorption experiments indicated that the prepared adsorbent could be regenerated and reused up to four successive cycles. The prepared CMFs-g-HAP(N) was an efficient and effective reusable adsorbent for removal of heavy metals from aqueous systems, and could be a suitable candidate for wastewater treatment on a large scale. The Royal Society of Chemistry 2023-11-01 /pmc/articles/PMC10618904/ /pubmed/37920194 http://dx.doi.org/10.1039/d3ra04974d Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Marrane, Salah Eddine
Dânoun, Karim
Essamlali, Youness
Aboulhrouz, Soumia
Sair, Said
Amadine, Othmane
Jioui, Ilham
Rhihil, Abdallah
Zahouily, Mohamed
Fixed-bed adsorption of Pb(ii) and Cu(ii) from multi-metal aqueous systems onto cellulose-g-hydroxyapatite granules: optimization using response surface methodology
title Fixed-bed adsorption of Pb(ii) and Cu(ii) from multi-metal aqueous systems onto cellulose-g-hydroxyapatite granules: optimization using response surface methodology
title_full Fixed-bed adsorption of Pb(ii) and Cu(ii) from multi-metal aqueous systems onto cellulose-g-hydroxyapatite granules: optimization using response surface methodology
title_fullStr Fixed-bed adsorption of Pb(ii) and Cu(ii) from multi-metal aqueous systems onto cellulose-g-hydroxyapatite granules: optimization using response surface methodology
title_full_unstemmed Fixed-bed adsorption of Pb(ii) and Cu(ii) from multi-metal aqueous systems onto cellulose-g-hydroxyapatite granules: optimization using response surface methodology
title_short Fixed-bed adsorption of Pb(ii) and Cu(ii) from multi-metal aqueous systems onto cellulose-g-hydroxyapatite granules: optimization using response surface methodology
title_sort fixed-bed adsorption of pb(ii) and cu(ii) from multi-metal aqueous systems onto cellulose-g-hydroxyapatite granules: optimization using response surface methodology
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618904/
https://www.ncbi.nlm.nih.gov/pubmed/37920194
http://dx.doi.org/10.1039/d3ra04974d
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