Statistical modeling-approach for optimization of Cu(2+) biosorption by Azotobacter nigricans NEWG-1; characterization and application of immobilized cells for metal removal

Heavy metals are environmental pollutants affect the integrity and distribution of living organisms in the ecosystem and also humans across the food chain. The study targeted the removal of copper (Cu(2+)) from aqueous solutions, depending on the biosorption process. The bacterial candidate was iden...

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Detalles Bibliográficos
Autores principales: Ghoniem, Abeer Abdulkhalek, El-Naggar, Noura El-Ahmady, Saber, WesamEldin I. A., El-Hersh, Mohammed S., El-khateeb, Ayman Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289884/
https://www.ncbi.nlm.nih.gov/pubmed/32528020
http://dx.doi.org/10.1038/s41598-020-66101-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289884/
https://www.ncbi.nlm.nih.gov/pubmed/32528020
http://dx.doi.org/10.1038/s41598-020-66101-x

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