Mohana Sarayu, Shrivastava Shalini, Divecha Jyoti, Madamwar Datta
BRD School of Biosciences, Sardar Patel Maidan, Sardar Patel University, Vallabh Vidyanagar 388120, Gujarat, India.
Bioresour Technol. 2008 Feb;99(3):562-9. doi: 10.1016/j.biortech.2006.12.033. Epub 2007 Sep 4.
Decolorization and degradation of polyazo dye Direct Black 22 was carried out by distillery spent wash degrading mixed bacterial consortium, DMC. Response surface methodology (RSM) involving a central composite design (CCD) in four factors was successfully employed for the study and optimization of decolorization process. The hyper activities and interactions between glucose concentration, yeast extract concentration, dye concentration and inoculum size on dye decolorization were investigated and modeled. Under optimized conditions the bacterial consortium was able to decolorize the dye almost completely (>91%) within 12h. Bacterial consortium was able to decolorize 10 different azo dyes. The optimum combination of the four variables predicted through RSM was confirmed through confirmatory experiments and hence this bacterial consortium holds potential for the treatment of industrial waste water. Dye degradation products obtained during the course of decolorization were analyzed by HPTLC.
利用酿酒厂废醪液降解混合细菌群落DMC对偶氮染料直接黑22进行脱色和降解。采用包含四个因素的中心复合设计(CCD)的响应面方法(RSM)成功地用于该脱色过程的研究和优化。研究并模拟了葡萄糖浓度、酵母提取物浓度、染料浓度和接种量对染料脱色的超活性和相互作用。在优化条件下,细菌群落能够在12小时内几乎完全(>91%)脱色该染料。细菌群落能够使10种不同的偶氮染料脱色。通过RSM预测的四个变量的最佳组合通过验证性实验得到了证实,因此该细菌群落具有处理工业废水的潜力。通过高效薄层层析法(HPTLC)分析了脱色过程中获得的染料降解产物。