C K Venil, V Mohan, P Lakshmanaperumalsamy, M B Yerima
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引用次数: 19
Abstract
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%。
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