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Article . 2016
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Decolorization Of Selective Textile Dyes Using Waterborne Pathogenic Bacterial Strains

Authors: Ranjana Das*, Arunima De, Sayan Poddar, Chiranjib Bhattacharjee;

Decolorization Of Selective Textile Dyes Using Waterborne Pathogenic Bacterial Strains

Abstract

Dyes are serious pollutants, causing environmental and health problems to human being and aquatic animals. Textile wastewater with dye contaminants presents a severe environmental peril because of persistent nature and allied toxicity along with bioaccumulation propensity. Therefore, treatment of dye effluents has become utmost important criterion prior discharged into the environment. In present study three different textile dyes namely, methylene blue, rhodamine B and reactive green 19, were selected for decolorization study using three types of water borne pathogens explicitly Bacillus subtilis, Staphylococcus aureus and Pseudomonas aeruginosa). Effect of major operational process parameters like, initial dye concentration, temperature and pH were investigated for decolorization of textile dyes and present study confirms the ability of Pseudomonas aeruginosa and Bacillus subtilis as potential decolorizing bacterial with efficiency of 97.28% for methylene blue and 98.73% for Reactive Green 19. Significantly high decolorization level and simplistic process conditions illustrate the potential for these bacterial strains to be used in the biological treatment of dyeing mill effluents.

Keywords

Bacterial culture, textile dye, decolorization, methylene blue, rhodamine B, reactive green 19.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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