利用响应面法优化本地细菌芽孢杆菌属REP02去除铬的研究
Optimization of Chromium Removal by the Indigenous Bacterium Bacillus spp. REP02 Using the Response Surface Methodology.
作者信息
Venil C K, Mohan V, Lakshmanaperumalsamy P, Yerima M B
机构信息
Division of Food Microbiology and Biotechnology, Department of Food Science and Technology, Pondicherry University, Pondicherry 605 014, India.
出版信息
ISRN Microbiol. 2011 Oct 19;2011:951694. doi: 10.5402/2011/951694. Print 2011.
An indigenous bacterium, Bacillus REP02, was isolated from locally sourced chromium electroplating industrial effluents. Response surface methodology was employed to optimize the five critical medium parameters responsible for higher % Cr(2+) removal by the bacterium Bacillus REP02. A three-level Box-Behnken factorial design was used to optimize K2HPO4, yeast extract, MgSO4, NH4NO3, and dextrose for Cr(2+) removal. A coefficient of determination (R (2)) value (0.93), model F-value (3.92) and its low P-value (F < 0.0008) along with lower value of coefficient of variation (5.39) indicated the fitness of response surface quadratic model during the present study. At optimum parameters of K2HPO4 (0.6 g L(-1)), yeast extract (5.5 g L(-1)), MgSO4 (0.04 g L(-1)), NH4NO3 (0.20 g L(-1)), and dextrose (12.50 g L(-1)), the model predicted 98.86% Cr(2+) removal, and experimentally, 99.08% Cr(2+) removal was found.
从当地来源的铬电镀工业废水中分离出一种本土细菌——芽孢杆菌REP02。采用响应面法优化了五个关键培养基参数，这些参数有助于芽孢杆菌REP02提高对Cr(2+)的去除率。采用三水平Box-Behnken析因设计对K2HPO4、酵母提取物、MgSO4、NH4NO3和葡萄糖进行优化以去除Cr(2+)。决定系数（R(2)）值为0.93、模型F值为3.92及其低P值（F < 0.0008）以及较低的变异系数值（5.39）表明响应面二次模型在本研究中拟合良好。在K2HPO4（0.6 g L(-1)）、酵母提取物（5.5 g L(-1)）、MgSO4（0.04 g L(-1)）、NH4NO3（0.20 g L(-1)）和葡萄糖（12.50 g L(-1)）的最佳参数下，该模型预测Cr(2+)去除率为98.86%，而实验发现Cr(2+)去除率为99.08%。
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