Effect of Metals on Decolorization of Reactive Blue HERD by Comamonas sp. UVS

Jadhav, Umesh; Dawkar, Vishal V.; Kagalkar, Anuradha N.; Govindwar, Sanjay P.

doi:10.1007/s11270-010-0557-z

Cited by 10 publications

(7 citation statements)

References 39 publications

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“…e effluent-adapted strain of Acinetobacter has the potentiality for color removal, and strains of Acinetobacter and Pseudomonas exhibit chemical oxygen which demands removal actions [64,65]. Besides that, the Comamonas strain retains amazing reusability and endurance traits in continuous decolorization processes [66]. Additionally, the genus of Pseudomonas including Pseudomonas putida and Pseudomonas alcaligenes has a lot of metabolic diversity, many of which were capable of metabolizing different chemical contaminants [67].…”

Section: Isolation Screening and Identification Of MIX Culturementioning

confidence: 99%

Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Zin

Halmi

Gani

et al. 2020

BioMed Research International

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The release of wastewater from textile dyeing industrial sectors is a huge concern with regard to pollution as the treatment of these waters is truly a challenging process. Hence, this study investigates the triazo bond Direct Blue 71 (DB71) dye decolorization and degradation dye by a mixed bacterial culture in the deficiency source of carbon and nitrogen. The metagenomics analysis found that the microbial community consists of a major bacterial group of Acinetobacter (30%), Comamonas (11%), Aeromonadaceae (10%), Pseudomonas (10%), Flavobacterium (8%), Porphyromonadaceae (6%), and Enterobacteriaceae (4%). The richest phylum includes Proteobacteria (78.61%), followed by Bacteroidetes (14.48%) and Firmicutes (3.08%). The decolorization process optimization was effectively done by using response surface methodology (RSM) and artificial neural network (ANN). The experimental variables of dye concentration, yeast extract, and pH show a significant effect on DB71 dye decolorization percentage. Over a comparative scale, the ANN model has higher prediction and accuracy in the fitness compared to the RSM model proven by approximated R2 and AAD values. The results acquired signify an efficient decolorization of DB71 dye by a mixed bacterial culture.

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Section: Isolation Screening and Identification Of MIX Culturementioning

confidence: 99%

Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Zin

Halmi

Gani

et al. 2020

BioMed Research International

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“…Jadhav and co-workers reported that the activity of laccase, a type of copper-containing polyphenol oxidase, was observed using a cell-free extract and culture supernatant of Comamonas sp. UVS (Jadhav et al 2011). Laccase of Comamonas sp.…”

Section: Effects Of Metals On Dba Degradationmentioning

confidence: 99%

Comamonas sp. 3ah48 is a dibenz[ a,h ]anthracene‐degrading bacterium that is tolerant to heavy metals

Okai

Ohki

Yamamoto

et al. 2019

Lett Appl Microbiol

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Industrialization often causes polycyclic aromatic hydrocarbon (PAH) and heavy metal contamination of soil and water. In this study, we isolated a bacterium from bottom mud water around a park of Kawasaki Port, Japan, that degrades the 5‐ring PAH dibenz[a,h]anthracene (DBA). The strain, Comamonas sp. 3ah48, degraded 29% of DBA (30 μg ml−1) in 7 days, and the degradation level increased drastically, to 59%, by the addition of glutamate to the medium. The strain also degraded 40, 14, 15 and 19% of pyrene (Pyr), benzo[b]fluoranthene (BbF), benzo[k]fluoranthene (BkF) and benzo[g,h,i]perylene (BghiP) respectively. Benzo[a]pyrene (BaP) was degraded only when glutamate was added to the medium. Strain 3ah48 retained its degradation levels in the presence of 2 mmol l−1 Co2+, Zn2+ or Cr2+, at almost the same level as that without metal, and increased the DBA degradation level to 57% in the presence of 2 mmol l−1 Cu2+, suggesting the possibility of the presence of laccase. Significance and Impact of the Study Sixteen polycyclic aromatic hydrocarbons (PAHs) are listed as priority pollutants by the United States Environmental Protection Agency (USEPA). Information about the biodegradation of one of those PAHs, dibenz[a,h]anthracene (DBA), is limited. The present study focuses on DBA degradation by Comamonas sp. 3ah48 strain isolated around Kawasaki Port, Japan. Comamonas sp. 3ah48, cultured with the addition of glutamate to the medium, was found to increase the degradation level of DBA and to degrade DBA even in the presence of high concentrations of heavy metals.

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“…These results suggest that heavy metals addition in culture media may maintain, enhance or affect enzymatic pathways involved in the decolourization process depending on the metal nature (Jadhav et al . ). In case of Zn 2+ , decolourization of RB5 processed normally suggesting that Zn 2+ ions did not affect neither growth nor decolourization.…”

Section: Discussionmentioning

confidence: 97%

“…A number of studies suggested biotechnological approaches to overcome this threat using pure culture or consortia for single removal of dyes or heavy metals (Jadhav et al . ). Several bacterial strains such as Providencia sp ., Pseudomonas aeuroginosa, Acinetobacter junii, Enterobacter sp ., Citrobacter sp ., Brevibacillus laterosporus and Bacillus sp.…”

Section: Introductionmentioning

confidence: 97%

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

et al. 2019

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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.

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Effect of Metals on Decolorization of Reactive Blue HERD by Comamonas sp. UVS

Cited by 10 publications

References 39 publications

Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

Comamonas sp. 3ah48 is a dibenz[ a,h ]anthracene‐degrading bacterium that is tolerant to heavy metals

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

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