Modelling of Reactive Black 5 decolourization in the presence of heavy metals by the newly isolated Pseudomonas aeruginosa strain Gb30

Ibtihel Louati, Bilel Hadrich, Moncef Nasri, Lassaad Belbahri, Stephen Woodward, Tahar Mechichi (Corresponding Author)

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Abstract

Aim

The effect of heavy metals presence on the decolourization of Reactive Black 5 by Pseudomonas aeruginosa was evaluated.

Methods and Results

In the current study, a newly isolated strain identified as P. aeruginosa strain Gb 30 was selected for its ability to remove high concentration of Reactive Black 5 and resistance to several heavy metals (Cu2+>Zn2+>Cd2+>Cr6+). Strain Gb30 was used to assess the effect of heavy metals presence on RB5 decolourization. The strain growth exhibited different responses at a fixed concentration of EC50 (10 h) for each heavy metal. The addition of Zn2+and Cd2+ had no effect on decolourization yield after 24 h of incubation, whereas Cr6+ and Cu2+ ions reduced decolourization up to 17%. In order to understand the relationship between heavy metals contamination and decolourization, experimental data relating the initial decolourization rate of RB5 to the concentrations of single and associated heavy metals were fitted to three different inhibition kinetic models.

Conclusions

In this study, we showed that P. aeruginosa strain Gb30 could be used for dye removal even at high concentrations of heavy metals. The developed models could provide basic information that may help for the best management of the bacteria‐mediated decolourization process at the industrial scale.

Significance and Impact of the Study

This study opens new directions for the management of textile industry wastewaters containing dyes and heavy metals using bioaugmentation by P. aeruginosa strain Gb30.

Original languageEnglish
Pages (from-to)1761-1771
Number of pages11
JournalJournal of Applied Microbiology
Volume126
Issue number6
Early online date29 Apr 2019
DOIs
Publication statusPublished - 1 Jun 2019

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Keywords

  • decolorization
  • heavy metals
  • bacteria
  • modeling
  • textile effluent

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