1Shahzad Anwer, 2*Neeraj Tandan and 3Poonam Rani
1Department of Microbiology, ShShri Jagdish Prasad Jhabarmal Tibrewala University, Vidyanagari, Jhunjhunu, Rajasthan 333001, India.
2Department of Biotechnology, Chaudhary, Charan SinghUniversity, Meerut-200005, India.
3Environmental, Endocrinology and Biomedical Research Unit, Department of Zoology, Meerut College, Meerut 250003, India.
Decolorization of pulp effluent was optimized by bacterial consortium using response surface methodology. The degree of significance of the proposed design was evaluate using p-value, F-value, R2 and adjusted R2. According to design, the predicted results were close resembled to the expected experimental values under optimum conditions (Carbon source 2%, agitation speed 200 rpm and pH 8.0), which indicated good quality evaluation of experimental data. The analysis of effluent after bacterial treatment compared to its control indicated that the consortium utilized the constituents of pulp paper effluent rather than biotransformation. In the knowledge of author’s, this study reveals a great use of statistical optimization for effective bacterial treatment of pulp paper effluent (in terms of saving time, manual efforts) for environmental safety point of view.
Keywords: Statistical optimization, bacteria, RSM, pulp paper effluent, GC-MS