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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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| Pubblicato in: | Sci Rep |
|---|---|
| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7289884/ https://ncbi.nlm.nih.gov/pubmed/32528020 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-66101-x |
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