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Journal of Environmental Science and Technology
  Year: 2012 | Volume: 5 | Issue: 1 | Page No.: 29-41
DOI: 10.3923/jest.2012.29.41
Biodetoxification of Azo Dye Containing Textile Effluent Through Adapted Fungal Strains
R. Rajendran, S. Karthik Sundaram, B.V. Sridevi, P. Prabhavathi and V. Gopi

Abstract:
This study investigated the potential of adapted fungi isolated from textile effluent containing a mixture of azo which were used in the bioremediation analysis. Around 4 organisms with a potential for color removal was selected and were found to be Aspergillus sp., Penicillium sp., Fusarium sp. and Mucor sp. These organisms were compatible with each other hence they could both be used in bioremediation as individual pure cultures as well as a consortium. On analyzing the treatment trials with the individual cultures and consortium it was found out that the consortium was found to be effective in bioremediation when compared to individual fungal strains. The fungal consortium was able to reduce color upto 75%, organic load to 50% and total solids upto 54%. This study also presents the standardization of organic load concentration, pH, retention time, inoculum concentration and incubation temperature required to decolorize the azo textile effluent. Langmuir and Freundlich adsorption isotherms have been used to investigate with adapted fungal consortium on removal of toxic pollutants (dye), the best fitting was observed in both monolayer model (R2 about 0.98) as well as Freundlich model in an experimental data with used dye (R2 about 0.92). GCMS analysis performed for the treated effluent under optimized condition (Retention time -5 days; pH-6; Organic loading rate-100%; Incubation temperature -27°C; and Inoculum concentration-5%) confirmed that the sample treated was devoid of any toxic end products.
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How to cite this article:

R. Rajendran, S. Karthik Sundaram, B.V. Sridevi, P. Prabhavathi and V. Gopi, 2012. Biodetoxification of Azo Dye Containing Textile Effluent Through Adapted Fungal Strains. Journal of Environmental Science and Technology, 5: 29-41.

DOI: 10.3923/jest.2012.29.41

URL: http://scialert.net/abstract/?doi=jest.2012.29.41

 
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