Department of Chemical and Environmental Technology, ESCET, Rey Juan Carlos University, 28933 Móstoles, Madrid, Spain.
Department of Chemical and Environmental Technology, ESCET, Rey Juan Carlos University, 28933 Móstoles, Madrid, Spain.
J Hazard Mater. 2014 Jun 15;274:473-82. doi: 10.1016/j.jhazmat.2014.04.034. Epub 2014 Apr 26.
The aim of this work was to study the biological removal of pharmaceutical compounds in rotating biological contactors (RBCs) under continuous operation. A two-stage RBC was used, providing a total surface area of 1.41 m(2). Four pharmaceuticals of different therapeutic classes; caffeine, sulfamethoxazole, ranitidine and carbamazepine, were studied. Six experimental scenarios were applied to the RBC-system by varying substrates' loadings (12-54 gCOD/d), volumetric flow rate (2-5L/d), and pharmaceuticals' concentration (20-50 μg/L). The different conditions resulted to different solid retention times (SRT: 7-21 d) in each scenario. The increase of SRT due to variations of the operating conditions seemed to have a positive effect on pharmaceuticals' removal. Likewise, a negative correlation was observed between substrates' loading and pharmaceuticals' removal. An increase of initial pharmaceuticals' concentration resulted to decrease of SRT and pharmaceuticals' removal, suggesting a toxic effect to the biofilm. The maximum removals achieved were greater than 85% for all pharmaceuticals. Finally, a mathematical model which includes biofilm growth, substrates' utilization and pharmaceuticals' elimination was developed. The model predicts the contribution of sorption and biodegradation on pharmaceuticals' elimination taking into account the diffusion of pharmaceuticals inside biofilm.
本工作旨在研究旋转生物接触器(RBC)在连续操作下对药物化合物的生物去除。使用了两级 RBC,提供了 1.41 平方米的总表面积。研究了四种不同治疗类别的药物;咖啡因、磺胺甲恶唑、雷尼替丁和卡马西平。通过改变基质的负荷(12-54 gCOD/d)、体积流量(2-5L/d)和药物浓度(20-50μg/L),向 RBC 系统应用了六个实验方案。不同的条件导致每个方案中的固体停留时间(SRT:7-21d)不同。由于操作条件的变化而增加的 SRT 似乎对药物的去除有积极的影响。同样,观察到基质负荷与药物去除之间呈负相关。初始药物浓度的增加导致 SRT 和药物去除减少,表明生物膜受到毒性影响。所有药物的最大去除率均大于 85%。最后,开发了一个包括生物膜生长、基质利用和药物消除的数学模型。该模型考虑了药物在生物膜内的扩散,预测了吸附和生物降解对药物消除的贡献。