C K Venil, V Mohan, P Lakshmanaperumalsamy, M B Yerima
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引用次数: 19
摘要
从本地来源的电镀铬工业废水中分离出一种本地细菌REP02。采用响应面法优化了REP02芽孢杆菌对% Cr(2+)具有较高去除率的5个关键培养基参数。采用三水平Box-Behnken析因设计优化K2HPO4、酵母浸膏、MgSO4、NH4NO3和葡萄糖去除Cr(2+)的效果。决定系数(R(2))值为0.93,模型F值为3.92,其p值较低(F < 0.0008),变异系数较低(5.39),表明本研究响应面二次模型的适宜性。在K2HPO4 (0.6 g L(-1))、酵母膏(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,模型预测Cr(2+)去除率为98.86%,实验结果为99.08%。
Optimization of Chromium Removal by the Indigenous Bacterium Bacillus spp. REP02 Using the Response Surface Methodology.
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.