Applied Microbiology Laboratory, Centre for Rural Development and Technology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
J Hazard Mater. 2011 Jan 30;185(2-3):837-43. doi: 10.1016/j.jhazmat.2010.09.096. Epub 2010 Oct 7.
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.
采用三变量五水平二阶中心组合实验设计的响应面法优化了aspergillus lentulus FJ172995 对最大染料去除的条件。研究并建立了三个变量（葡萄糖、尿素和初始染料浓度）之间的相互作用模型，用于两个响应：染料去除和生物量生产。结果表明，尿素是影响染料去除的主要因素，而葡萄糖在生物量生产中起主要作用。此外，初始染料浓度对染料去除有不利影响，这表明对于处理含有较高浓度染料的废水，应该增加营养物质的投入。在最佳工艺条件下，24 小时内获得了 99.97%的高染料去除效率和 97.54mg/g 的高吸附容量。
