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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 5/2022

21.04.2021 | Research Article-Chemical Engineering

Response Surface Modeling and Optimization of Ni(II) and Cu(II) Ions Competitive Adsorption Capacity by Sewage Sludge Activated Carbon

verfasst von: Omar Khelifi, Abed M. Affoune, Mouna Nacef, Mohamed L. Chelaghmia, Hamza Laksaci

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 5/2022

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Abstract

In this study, response surface methodology (RSM) was used to evaluate the experimental parameter’s effect in the competitive adsorption capacity of Ni(II) and Cu(II) ions using activated carbon prepared from sewage sludge. The metal removal efficiency was optimized toward various parameters using central composite design (CCD) under RSM. The model’s predictions are in good agreement with experimental results (R2 = 0.986, 0.974 and Adj-R2 = 0.960, 0.950 for Ni(II) and Cu(II) ions, respectively). ANOVA results showed that the process was mainly influenced by the Ni(II) concentration and adsorbent dose, whereas the other factors showed lower effects. The optimum Ni(II) concentration, Cu(II) concentration, adsorbent dose, contact time and temperature were found to be 40 mg/L, 40 mg/L, 4 g/L, 100 min and 30 °C. Under optimal conditions, maximum adsorption capacity of both metals (7.48 and 4.04 mg/g, respectively for Ni(II) and Cu(II) ions) was obtained.
Vorheriger Artikel Designing a Feasible Phenol Destruction Process Using LaM1−xCuxO3 (M = Co, Cr, Fe) Perovskites as Heterogeneous Fenton-Like Catalysts
Nächster Artikel Determination of Methanol Loss Due to Vaporization in Gas Hydrate Inhibition Process Using Intelligent Connectionist Paradigms

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Metadaten
Titel
Response Surface Modeling and Optimization of Ni(II) and Cu(II) Ions Competitive Adsorption Capacity by Sewage Sludge Activated Carbon
verfasst von
Omar Khelifi
Abed M. Affoune
Mouna Nacef
Mohamed L. Chelaghmia
Hamza Laksaci
Publikationsdatum
21.04.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 5/2022
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-05534-6

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