Swain Ganesh, Sonwani R K, Giri B S, Singh R S, Jaiswal Ravi P, Rai B N
Department of Chemical Engineering & Technology IIT (BHU), Varanasi 221005, Uttar Pradesh, India.
Department of Chemical Engineering & Technology IIT (BHU), Varanasi 221005, Uttar Pradesh, India.
Bioresour Technol. 2020 Jun;306:123177. doi: 10.1016/j.biortech.2020.123177. Epub 2020 Mar 10.
The performance of a moving bed biofilm reactor (MBBR) with bio-carriers made of polypropylene-polyurethane foam (PP-PUF) was evaluated for the collective removal of phenol and ammonia. Three independent variables, including pH (5.0-8.0), retention time (2.0-12.0 h), and airflow rate (0.8-3.5 L/min) were optimized using central composite design (CCD) of response surface methodology (RSM). The maximum removal of phenol and ammonia was obtained to be 92.6, and 91.8%, respectively, in addition to the removal of 72.3% in the chemical oxygen demand (COD) level at optimum conditions. First-order and second-order kinetic models were analyzed to evaluate the pollutants removal kinetics in a MBBR. Finally, a second-order model was found to be appropriate for predicting reaction kinetics. The values of second-order rate constants were obtained to be 2.35, 0.25, and 1.85 L/gVSS gCOD h for phenol, COD, and ammonia removal, respectively.
对采用聚丙烯 - 聚氨酯泡沫（PP - PUF）制成的生物载体的移动床生物膜反应器（MBBR）去除苯酚和氨的性能进行了评估。使用响应面法（RSM）的中心复合设计（CCD）对包括pH值（5.0 - 8.0）、停留时间（2.0 - 12.0小时）和空气流速（0.8 - 3.5升/分钟）这三个独立变量进行了优化。在最佳条件下，苯酚和氨的最大去除率分别达到92.6%和91.8%，此外化学需氧量（COD）水平的去除率为72.3%。分析了一级和二级动力学模型以评估MBBR中污染物的去除动力学。最后，发现二级模型适用于预测反应动力学。苯酚、COD和氨去除二级反应速率常数分别为2.35、0.25和1.85升/克挥发性悬浮固体·克化学需氧量·小时。
