Multivariate Optimization of Pb<sup>2+</sup> Adsorption onto Ethiopian Low-Cost Odaracha Soil Using Response Surface Methodology
Lead pollution is a severe health concern for humankind. Utilizing water contaminated with lead can cause musculoskeletal, renal, neurological, and fertility impairments. Therefore, to remove lead ions, proficient, and cost-effective methods are imperative. In this study, the Odaracha soil which is...
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oai:doaj.org-article:cd431e7019b94cacaa48bdb8e872ce5a2021-11-11T18:28:58ZMultivariate Optimization of Pb<sup>2+</sup> Adsorption onto Ethiopian Low-Cost Odaracha Soil Using Response Surface Methodology10.3390/molecules262164771420-3049https://doaj.org/article/cd431e7019b94cacaa48bdb8e872ce5a2021-10-01T00:00:00Zhttps://www.mdpi.com/1420-3049/26/21/6477https://doaj.org/toc/1420-3049Lead pollution is a severe health concern for humankind. Utilizing water contaminated with lead can cause musculoskeletal, renal, neurological, and fertility impairments. Therefore, to remove lead ions, proficient, and cost-effective methods are imperative. In this study, the Odaracha soil which is traditionally used by the local community of the Saketa District was used as a novel low-cost technology to adsorb lead ions. Odaracha adsorbent was characterized by scanning electron microscopy and Fourier transform infrared spectroscopy. The adsorption process followed the batch adsorption experiment. The response surface method was implemented to derive the operating variables’ binary interaction effect and optimize the process. According to the study’s experimental result, at optimum experimental conditions Odaracha adsorbent removes 98.17% of lead ions. Based on the result of the central composite design model, the Pb<sup>2+</sup> ion removal efficiency of Odaracha was 97.193%, indicating an insignificant dissimilarity of the actual and predicted results. The coefficient of determination (R<sup>2</sup>) for Pb<sup>2+</sup> was 0.9454. According to the factors’ influence indicated in the results of the central composite design model, all individual factors and the interaction effect between contact time and pH has a significant positive effect on lead adsorption. However, other interaction effects (contact time with dose and pH with dose) did not significantly influence the removal efficiency of lead ions. The adsorption kinetics were perfectly fitted with a pseudo-second-order model, and the adsorption isotherm was well fitted with the Freundlich isotherm model. In general, this study suggested that Odaracha adsorbent can be considered a potential adsorbent to remove Pb<sup>2+</sup> ions and it is conceivable to raise its effectiveness by extracting its constituents at the industrial level.Yohanis BirhanuSeyoum LetaMDPI AGarticleodarachawastewaterleadadsorptionresponse surface methodOrganic chemistryQD241-441ENMolecules, Vol 26, Iss 6477, p 6477 (2021) |
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odaracha wastewater lead adsorption response surface method Organic chemistry QD241-441 |
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odaracha wastewater lead adsorption response surface method Organic chemistry QD241-441 Yohanis Birhanu Seyoum Leta Multivariate Optimization of Pb<sup>2+</sup> Adsorption onto Ethiopian Low-Cost Odaracha Soil Using Response Surface Methodology |
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Lead pollution is a severe health concern for humankind. Utilizing water contaminated with lead can cause musculoskeletal, renal, neurological, and fertility impairments. Therefore, to remove lead ions, proficient, and cost-effective methods are imperative. In this study, the Odaracha soil which is traditionally used by the local community of the Saketa District was used as a novel low-cost technology to adsorb lead ions. Odaracha adsorbent was characterized by scanning electron microscopy and Fourier transform infrared spectroscopy. The adsorption process followed the batch adsorption experiment. The response surface method was implemented to derive the operating variables’ binary interaction effect and optimize the process. According to the study’s experimental result, at optimum experimental conditions Odaracha adsorbent removes 98.17% of lead ions. Based on the result of the central composite design model, the Pb<sup>2+</sup> ion removal efficiency of Odaracha was 97.193%, indicating an insignificant dissimilarity of the actual and predicted results. The coefficient of determination (R<sup>2</sup>) for Pb<sup>2+</sup> was 0.9454. According to the factors’ influence indicated in the results of the central composite design model, all individual factors and the interaction effect between contact time and pH has a significant positive effect on lead adsorption. However, other interaction effects (contact time with dose and pH with dose) did not significantly influence the removal efficiency of lead ions. The adsorption kinetics were perfectly fitted with a pseudo-second-order model, and the adsorption isotherm was well fitted with the Freundlich isotherm model. In general, this study suggested that Odaracha adsorbent can be considered a potential adsorbent to remove Pb<sup>2+</sup> ions and it is conceivable to raise its effectiveness by extracting its constituents at the industrial level. |
format |
article |
author |
Yohanis Birhanu Seyoum Leta |
author_facet |
Yohanis Birhanu Seyoum Leta |
author_sort |
Yohanis Birhanu |
title |
Multivariate Optimization of Pb<sup>2+</sup> Adsorption onto Ethiopian Low-Cost Odaracha Soil Using Response Surface Methodology |
title_short |
Multivariate Optimization of Pb<sup>2+</sup> Adsorption onto Ethiopian Low-Cost Odaracha Soil Using Response Surface Methodology |
title_full |
Multivariate Optimization of Pb<sup>2+</sup> Adsorption onto Ethiopian Low-Cost Odaracha Soil Using Response Surface Methodology |
title_fullStr |
Multivariate Optimization of Pb<sup>2+</sup> Adsorption onto Ethiopian Low-Cost Odaracha Soil Using Response Surface Methodology |
title_full_unstemmed |
Multivariate Optimization of Pb<sup>2+</sup> Adsorption onto Ethiopian Low-Cost Odaracha Soil Using Response Surface Methodology |
title_sort |
multivariate optimization of pb<sup>2+</sup> adsorption onto ethiopian low-cost odaracha soil using response surface methodology |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/cd431e7019b94cacaa48bdb8e872ce5a |
work_keys_str_mv |
AT yohanisbirhanu multivariateoptimizationofpbsup2supadsorptionontoethiopianlowcostodarachasoilusingresponsesurfacemethodology AT seyoumleta multivariateoptimizationofpbsup2supadsorptionontoethiopianlowcostodarachasoilusingresponsesurfacemethodology |
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1718431850694705152 |