Process Optimization of Biosorption Hg(II), Cu(II) and Ni(II) Ions onto Dead Anaerobic Biomass using a Two-Level Full Factorial Design and Response Surface Methodology, Batch Systems

Dead anaerobic biomass prepared from drying bed wastewater treatment plant were used as adsorbents for the biosorption studies of mercury, copper and nickel ions from synthetic wastewater. The main and interactive effects on uptake of Hg(II), Cu(II) and Ni(II) in this study are investigated through...

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Main Author: Mohanad Jasim Mohammed Ridha
Format: Article
Language:English
Published: Al-Nahrain Journal for Engineering Sciences 2017-06-01
Series:مجلة النهرين للعلوم الهندسية
Subjects:
RSM
Online Access:https://nahje.com/index.php/main/article/view/198
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spelling doaj-2bf827835e064f2ba2fa4688083f0f102021-02-02T17:59:00ZengAl-Nahrain Journal for Engineering Sciencesمجلة النهرين للعلوم الهندسية2521-91542521-91622017-06-01182198Process Optimization of Biosorption Hg(II), Cu(II) and Ni(II) Ions onto Dead Anaerobic Biomass using a Two-Level Full Factorial Design and Response Surface Methodology, Batch SystemsMohanad Jasim Mohammed Ridha0Environmental Engineering Department - Baghdad University Dead anaerobic biomass prepared from drying bed wastewater treatment plant were used as adsorbents for the biosorption studies of mercury, copper and nickel ions from synthetic wastewater. The main and interactive effects on uptake of Hg(II), Cu(II) and Ni(II) in this study are investigated through the model equations designed by a two-level full factorial design. Experiments designed by central composite design were carried out and the process response was modeled. Heavy metals removal efficiency and uptake have sequence order Hg(II) > Cu(II) > Ni(II) under tested conditions, Hg(II) offers the strongest component that able to displace Cu(II) and Ni(II) from their sites, while Ni(II) ions was the weakest adsorbed component. Best removal efficiencies were 96.2, 90.3 and 82.4 when temperature 400C, pH 6, initial metal ion concentration 10 mg/l, biomass loading 6 g/l, contact time 180 min, and 200 rpm for Hg(II), Cu(II) and Ni(II) respectively. The results predicted using factorial regression model showed high values of regression coefficients (R2) 0.945 indicating good agreement with experimental data. The main biosorption mechanisms were complexation and physical adsorption onto natural active functional groups. It is observed that biosorption of these metals was a surface process. https://nahje.com/index.php/main/article/view/198BiosorptionDead Anaerobic BiomassHeavy MetalsRSM
collection DOAJ
language English
format Article
sources DOAJ
author Mohanad Jasim Mohammed Ridha
spellingShingle Mohanad Jasim Mohammed Ridha
Process Optimization of Biosorption Hg(II), Cu(II) and Ni(II) Ions onto Dead Anaerobic Biomass using a Two-Level Full Factorial Design and Response Surface Methodology, Batch Systems
مجلة النهرين للعلوم الهندسية
Biosorption
Dead Anaerobic Biomass
Heavy Metals
RSM
author_facet Mohanad Jasim Mohammed Ridha
author_sort Mohanad Jasim Mohammed Ridha
title Process Optimization of Biosorption Hg(II), Cu(II) and Ni(II) Ions onto Dead Anaerobic Biomass using a Two-Level Full Factorial Design and Response Surface Methodology, Batch Systems
title_short Process Optimization of Biosorption Hg(II), Cu(II) and Ni(II) Ions onto Dead Anaerobic Biomass using a Two-Level Full Factorial Design and Response Surface Methodology, Batch Systems
title_full Process Optimization of Biosorption Hg(II), Cu(II) and Ni(II) Ions onto Dead Anaerobic Biomass using a Two-Level Full Factorial Design and Response Surface Methodology, Batch Systems
title_fullStr Process Optimization of Biosorption Hg(II), Cu(II) and Ni(II) Ions onto Dead Anaerobic Biomass using a Two-Level Full Factorial Design and Response Surface Methodology, Batch Systems
title_full_unstemmed Process Optimization of Biosorption Hg(II), Cu(II) and Ni(II) Ions onto Dead Anaerobic Biomass using a Two-Level Full Factorial Design and Response Surface Methodology, Batch Systems
title_sort process optimization of biosorption hg(ii), cu(ii) and ni(ii) ions onto dead anaerobic biomass using a two-level full factorial design and response surface methodology, batch systems
publisher Al-Nahrain Journal for Engineering Sciences
series مجلة النهرين للعلوم الهندسية
issn 2521-9154
2521-9162
publishDate 2017-06-01
description Dead anaerobic biomass prepared from drying bed wastewater treatment plant were used as adsorbents for the biosorption studies of mercury, copper and nickel ions from synthetic wastewater. The main and interactive effects on uptake of Hg(II), Cu(II) and Ni(II) in this study are investigated through the model equations designed by a two-level full factorial design. Experiments designed by central composite design were carried out and the process response was modeled. Heavy metals removal efficiency and uptake have sequence order Hg(II) > Cu(II) > Ni(II) under tested conditions, Hg(II) offers the strongest component that able to displace Cu(II) and Ni(II) from their sites, while Ni(II) ions was the weakest adsorbed component. Best removal efficiencies were 96.2, 90.3 and 82.4 when temperature 400C, pH 6, initial metal ion concentration 10 mg/l, biomass loading 6 g/l, contact time 180 min, and 200 rpm for Hg(II), Cu(II) and Ni(II) respectively. The results predicted using factorial regression model showed high values of regression coefficients (R2) 0.945 indicating good agreement with experimental data. The main biosorption mechanisms were complexation and physical adsorption onto natural active functional groups. It is observed that biosorption of these metals was a surface process.
topic Biosorption
Dead Anaerobic Biomass
Heavy Metals
RSM
url https://nahje.com/index.php/main/article/view/198
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