INRS-ETE, Université du Québec, Québec, Canada.
J Hazard Mater. 2011 May 15;189(1-2):100-7. doi: 10.1016/j.jhazmat.2011.02.004. Epub 2011 Feb 26.
In this study, the application of response surface model in predicting and optimizing the ferro-sonication pre-treatment for degradation of bisphenol A (BPA), an endocrine disrupter compound from wastewater sludge (WWS) was investigated. The ferro-sonication pre-treatment process was carried out according to central composite design (CCD) with four independent variables such as wastewater sludge solids concentration, pH, ultrasonication time and FeSO(4) concentration. The effect of ferro-sonication pre-treatment was assessed in terms of increase in sludge solids (suspended solids (SS) and volatile solids (VS)) and organic matter (chemical oxygen demand (COD) and soluble organic carbon (SOC)) solubilization and simultaneous BPA degradation from WWS. It was observed that among all the variables studied, ultrasonication time had more significantly affected the efficiency of the ferro-sonication pre-treatment process followed by FeSO(4) and solids concentration. Through this optimization process, it was found that maximum BPA degradation of 88% could be obtained with 163 min ultrasonication time, 2.71 mg/L FeSO(4) concentration, pH 2.81 with 22 g/L SS. Further, the effect of ferro-sonication pre-treatment on biodegradation of WWS was also studied. It was observed that ultrasonication time had significant effect and the higher biodegradation (32.48%) was observed at 180 min ultrasonication time.
本研究采用响应面模型，研究了铁-声处理技术在预测和优化从废水污泥（WWS）中降解双酚 A（BPA）这种内分泌干扰化合物中的应用。铁-声处理实验根据中心复合设计（CCD）进行，实验设计了四个独立变量，分别是废水污泥固体浓度、pH 值、超声时间和 FeSO4 浓度。该研究采用污泥固体（悬浮固体（SS）和挥发性固体（VS））和有机物（化学需氧量（COD）和可溶性有机碳（SOC））的增溶以及同时从 WWS 中降解 BPA 来评估铁-声处理的效果。研究结果表明，在所研究的所有变量中，超声时间对铁-声处理过程的效率影响最大，其次是 FeSO4 和固体浓度。通过该优化过程，发现超声时间为 163 min、FeSO4 浓度为 2.71 mg/L、pH 值为 2.81、SS 浓度为 22 g/L 时，BPA 的最大降解率可达到 88%。此外，还研究了铁-声处理对 WWS 生物降解的影响。研究结果表明，超声时间对生物降解有显著影响，超声时间为 180 min 时，生物降解率最高（32.48%）。
