Rotatable central composite design versus artificial neural network for modeling biosorption of Cr6+ by the immobilized Pseudomonas alcaliphila NEWG-2

Abstract Heavy metals, including chromium, are associated with developed industrialization and technological processes, causing imbalanced ecosystems and severe health concerns. The current study is of supreme priority because there is no previous work that dealt with the modeling of the optimizatio...

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Autores principales:	WesamEldin I. A. Saber, Noura El-Ahmady El-Naggar, Mohammed S. El-Hersh, Ayman Y. El-khateeb, Ashraf Elsayed, Noha M. Eldadamony, Abeer Abdulkhalek Ghoniem
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d777bce0b18a4c0b9d340c9bac0a8e13
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spelling	oai:doaj.org-article:d777bce0b18a4c0b9d340c9bac0a8e132021-12-02T11:50:40ZRotatable central composite design versus artificial neural network for modeling biosorption of Cr6+ by the immobilized Pseudomonas alcaliphila NEWG-210.1038/s41598-021-81348-82045-2322https://doaj.org/article/d777bce0b18a4c0b9d340c9bac0a8e132021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81348-8https://doaj.org/toc/2045-2322Abstract Heavy metals, including chromium, are associated with developed industrialization and technological processes, causing imbalanced ecosystems and severe health concerns. The current study is of supreme priority because there is no previous work that dealt with the modeling of the optimization of the biosorption process by the immobilized cells. The significant parameters (immobilized bacterial cells, contact time, and initial Cr6+ concentrations), affecting Cr6+ biosorption by immobilized Pseudomonas alcaliphila, was verified, using the Plackett–Burman matrix. For modeling the maximization of Cr6+ biosorption, a comparative approach was created between rotatable central composite design (RCCD) and artificial neural network (ANN) to choose the most fitted model that accurately predicts Cr6+ removal percent by immobilized cells. Experimental data of RCCD was employed to train a feed-forward multilayered perceptron ANN algorithm. The predictive competence of the ANN model was more precise than RCCD when forecasting the best appropriate wastewater treatment. After the biosorption, a new shiny large particle on the bead surface was noticed by the scanning electron microscopy, and an additional peak of Cr6+ was appeared by the energy dispersive X-ray analysis, confirming the role of the immobilized bacteria in the biosorption of Cr6+ ions.WesamEldin I. A. SaberNoura El-Ahmady El-NaggarMohammed S. El-HershAyman Y. El-khateebAshraf ElsayedNoha M. EldadamonyAbeer Abdulkhalek GhoniemNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q WesamEldin I. A. Saber Noura El-Ahmady El-Naggar Mohammed S. El-Hersh Ayman Y. El-khateeb Ashraf Elsayed Noha M. Eldadamony Abeer Abdulkhalek Ghoniem Rotatable central composite design versus artificial neural network for modeling biosorption of Cr6+ by the immobilized Pseudomonas alcaliphila NEWG-2
description	Abstract Heavy metals, including chromium, are associated with developed industrialization and technological processes, causing imbalanced ecosystems and severe health concerns. The current study is of supreme priority because there is no previous work that dealt with the modeling of the optimization of the biosorption process by the immobilized cells. The significant parameters (immobilized bacterial cells, contact time, and initial Cr6+ concentrations), affecting Cr6+ biosorption by immobilized Pseudomonas alcaliphila, was verified, using the Plackett–Burman matrix. For modeling the maximization of Cr6+ biosorption, a comparative approach was created between rotatable central composite design (RCCD) and artificial neural network (ANN) to choose the most fitted model that accurately predicts Cr6+ removal percent by immobilized cells. Experimental data of RCCD was employed to train a feed-forward multilayered perceptron ANN algorithm. The predictive competence of the ANN model was more precise than RCCD when forecasting the best appropriate wastewater treatment. After the biosorption, a new shiny large particle on the bead surface was noticed by the scanning electron microscopy, and an additional peak of Cr6+ was appeared by the energy dispersive X-ray analysis, confirming the role of the immobilized bacteria in the biosorption of Cr6+ ions.
format	article
author	WesamEldin I. A. Saber Noura El-Ahmady El-Naggar Mohammed S. El-Hersh Ayman Y. El-khateeb Ashraf Elsayed Noha M. Eldadamony Abeer Abdulkhalek Ghoniem
author_facet	WesamEldin I. A. Saber Noura El-Ahmady El-Naggar Mohammed S. El-Hersh Ayman Y. El-khateeb Ashraf Elsayed Noha M. Eldadamony Abeer Abdulkhalek Ghoniem
author_sort	WesamEldin I. A. Saber
title	Rotatable central composite design versus artificial neural network for modeling biosorption of Cr6+ by the immobilized Pseudomonas alcaliphila NEWG-2
title_short	Rotatable central composite design versus artificial neural network for modeling biosorption of Cr6+ by the immobilized Pseudomonas alcaliphila NEWG-2
title_full	Rotatable central composite design versus artificial neural network for modeling biosorption of Cr6+ by the immobilized Pseudomonas alcaliphila NEWG-2
title_fullStr	Rotatable central composite design versus artificial neural network for modeling biosorption of Cr6+ by the immobilized Pseudomonas alcaliphila NEWG-2
title_full_unstemmed	Rotatable central composite design versus artificial neural network for modeling biosorption of Cr6+ by the immobilized Pseudomonas alcaliphila NEWG-2
title_sort	rotatable central composite design versus artificial neural network for modeling biosorption of cr6+ by the immobilized pseudomonas alcaliphila newg-2
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d777bce0b18a4c0b9d340c9bac0a8e13
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Rotatable central composite design versus artificial neural network for modeling biosorption of Cr6+ by the immobilized Pseudomonas alcaliphila NEWG-2

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