Process optimization for efficient dye removal by Aspergillus lentulus FJ172995.
Response surface methodology involving three variables with five level second order central composite experimental design was employed to optimize conditions for maximum dye removal by Aspergillus lentulus FJ172995. The interaction between three variables; glucose, urea and initial dye concentration was studied and modeled for two responses: dye removal and biomass production. The results indicate that urea is the main factor influencing dye removal whereas glucose plays a major role in biomass production. Also, initial dye concentration has depreciative effect on dye removal thereby suggesting that for the treatment of effluent containing higher concentrations of dye, nutrient input should be increased. A high dye removal efficiency (99.97%) and high uptake capacity (97.54 mg/g) was obtained in 24h using optimum process variables.
Kaushik
Prachi
P
Applied Microbiology Laboratory, Centre for Rural Development and Technology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
Malik
Anushree
A
D001230:Aspergillus / Q000378:metabolism*; D018533:Biomass; D004396:Coloring Agents / Q000302:isolation & purification*
D004396:Coloring Agents