Response surface methodological approach for the decolorization of simulated dye effluent using Aspergillus fumigatus fresenius

Sharma, Preeti; Singh, Lakhvinder; Dilbaghi, Neeraj

doi:10.1016/j.jhazmat.2008.04.085

Cited by 66 publications

(21 citation statements)

References 25 publications

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“…During preliminary dye decolorization studies system, variables and their levels were identified. To accomplish a more realistic model, prior knowledge gained from previous studies for understanding the process and the process variables under investigation is necessary for the RSM optimization method (Sharma et al 2009a). Each run was performed in triplicate and mean values for % decolorization was putted in the software.…”

Section: Dye Decolorizationmentioning

confidence: 99%

Response surface methodology mediated optimization of Remazol Orange decolorization in plain distilled water by Pseudomonas aeruginosa BCH

Jadhav

Surwase

Phugare

et al. 2012

Int. J. Environ. Sci. Technol.

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The bacterium Pseudomonas aeruginosa BCH decolorized and degraded the sulphonated azo dye Remazol Orange in plain distilled water. The effects of different parameters, i.e. pH, temperature and cell mass concentration on the biodegradation of dye in aqueous phase was evaluated using response surface methodology. Optimization was carried out using three-level BoxBehnken design. Predicted values were found to be in good agreement with experimental values (R 2 0.9997 and pred R 2 0.9984), which indicated suitability of the employed model and the success of response surface methodology. Optimum dye decolorization was maximized and the favourable conditions were pH 7.43, temperature 29.39°C and cell mass concentration 2.88 g l -1 , which resulted in 96.01 % decolorization within 5 h. It was validated from the predicted response (97.37 %). According to the analysis of variance results, the proposed model can be used to navigate the design space. 3D plot analysis disclosed the significant interaction between all three tested factors on decolorization process. The combinations of the three variables predicted during response surface methodology were confirmed through confirmatory experiments. Observations indicated that higher cell mass accelerated the decolorization process. Degradation of the dye was verified through high performance liquid chromatography analysis. Phytotoxicity studies carried out with dye and dye metabolites using Phaseolus mungo, Triticum aestivum and Sorghum vulgare indicated the detoxification of dye.

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Section: Dye Decolorizationmentioning

confidence: 99%

Response surface methodology mediated optimization of Remazol Orange decolorization in plain distilled water by Pseudomonas aeruginosa BCH

Jadhav

Surwase

Phugare

et al. 2012

Int. J. Environ. Sci. Technol.

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“…Initial pH and growth temperature were two important factors that affected bacteria growth and degradation activity for special compounds (Sharma et al, 2009). Fig.2 shows the growth and degradation characteristics with (Song, 2003), with temperature slightly lower than the strain HJ1.…”

Section: ) Effect Of Ph and Temperaturementioning

confidence: 99%

Degradation of o-xylene by a novel strain, Zoogloearesiniphila HJ1: Identification, kinetics and metabolic pathway

2017

Issue 2

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“…A number of microorganisms display a remarkable ability to degrade a range of industrial contaminants (bioremediation) and to restore natural environmental conditions. Brown rot fungi for example have been successfully utilized to decolorize industrial dyes (Sumathi and Manju 2000;Dong et al 2001;Jin et al 2007;Sharma et al 2009). Despite the large number of fungal isolates analyzed, little is known about the precise decolorization mechanisms involved.…”

Section: Introductionmentioning

confidence: 99%

Isolation, identification, and biochemical characterization of a brown rot fungus capable of textile dye decolorization

Gomaa

Momtaz

Kareem

et al. 2010

World J Microbiol Biotechnol

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Twenty-two local brown rot fungal isolates were obtained from 5 different environmental sources. Fourteen isolates were presumptively identified as Aspergillus sp. and eight as Penicillium sp. using mycelium and spore morphology. All the fungal isolates were screened for their ability to decolorize Isolan Red and colored waste water and to produce oxidase activity. Aspergillus isolate 2 was chosen for further study because it could decolorize both dyes and produce oxidase. A 400 bp fragment of the 18S rRNA gene from isolate 2 was analyzed by nucleotide sequence analysis. Blastn analysis of sequence data demonstrated 100% identity to Aspergillus sp. and isolate 2 was assigned the strain designation Aspergillus sp. EL-2 (Accession number: HM140797). EL-2 could remove up to 80% of Disperse Blue in waste water effluent within 48 h in submerged shake culture. The decolorization process was energy dependent, growth related, and required viable biomass. EL-2 was able to grow and decolorize waste water over a broad pH range. Addition of inducers and inhibitors of specific enzymes or families of enzymes demonstrated the involvement of phenol oxidase (laccase), cytochrome p-450 oxygenase and hydroxyl radicals in the decolorization process. The data also suggest that it may be practical to enhance decolorizing activity of Aspergillus sp. EL-2 through the metabolic control of fungal degradative pathways by altering media composition.

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Response surface methodological approach for the decolorization of simulated dye effluent using Aspergillus fumigatus fresenius

Cited by 66 publications

References 25 publications

Response surface methodology mediated optimization of Remazol Orange decolorization in plain distilled water by Pseudomonas aeruginosa BCH

Response surface methodology mediated optimization of Remazol Orange decolorization in plain distilled water by Pseudomonas aeruginosa BCH

Degradation of o-xylene by a novel strain, Zoogloearesiniphila HJ1: Identification, kinetics and metabolic pathway

Isolation, identification, and biochemical characterization of a brown rot fungus capable of textile dye decolorization

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