Optimization of Heavy Metals Biosorption via Artificial Neural Network: A Case Study of Cobalt (II) Sorption by Pseudomonas alcaliphila NEWG-2

Optimization of Heavy Metals Biosorption via Artificial Neural Network: A Case Study of Cobalt (II) Sorption by Pseudomonas alcaliphila NEWG-2

The definitive screening design (DSD) and artificial neural network (ANN) were conducted for modeling the biosorption of Co(II) by Pseudomonas alcaliphila NEWG-2. Factors such as peptone, incubation time, pH, glycerol, glucose, K2HPO4, and initial cobalt had a significant effect on the biosorption p...

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Bibliographic Details
Main Authors: Ashraf Elsayed, Zeiad Moussa, Salma Saleh Alrdahe, Maha Mohammed Alharbi, Abeer A. Ghoniem, Ayman Y. El-khateeb, WesamEldin I. A. Saber
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Microbiology
Subjects:
cobalt
biosorption
Pseudomonas alcaliphila NEWG-2
definitive screening design
artificial neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.893603/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2022.893603/full

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