ABSTRACT

In the present study, removal of pollutants in greywater was investigated using a novel bacterial–fungal consortium. Response surface methodology was used for the optimization of process variables like pH, temperature, inoculum size, and Carbon/Nitrogen (C/N ratio) for degradation of pollutants. Experiments were based on Box Behnken statistical design and the results show a good fit with the quadratic model, coefficient of determination (R²) value of 0.9499. The reliability of the model was established by various statistical parameters like lack of fit, pure error, and residual sum of squares. The optimized conditions for maximum reduction in chemical oxygen demand, oil & grease and sulphate were found to be 78.7%, 82.6% and 89.7%, respectively after 96 h of incubation of the reaction mixture at pH 7; temperature 35°C; inoculum size 150 µl and C/N ratio of 1:2. Our results clearly demonstrate that the developed novel bacterial–fungal consortium can be a cost-effective, safe, and environment-friendly alternative for remediation of greywater.

摘要

在本研究中，研究了使用一种新型细菌-真菌联合体去除灰水中的污染物。响应面法用于优化过程变量，如 pH、温度、接种物大小和碳/氮（C/N 比）以降解污染物。实验基于 Box Behnken 统计设计，结果显示与二次模型的良好拟合，决定系数 ( R ²) 值为 0.9499。模型的可靠性由各种统计参数（如失拟、纯误差和残差平方和）确定。反应混合物在 pH 7 下孵育 96 小时后，最大程度降低化学需氧量、油脂和硫酸盐的优化条件分别为 78.7%、82.6% 和 89.7%；温度 35°C; 接种量为 150 µl，C/N 比为 1:2。我们的研究结果清楚地表明，开发的新型细菌-真菌联合体可以成为修复灰水的一种经济高效、安全且环保的替代方案。