Department of Green Chemistry, School of Engineering Science, Lappeenranta University of Technology, Sammonkatu 12, FI-50130 Mikkeli, Finland.
Department of Green Chemistry, School of Engineering Science, Lappeenranta University of Technology, Sammonkatu 12, FI-50130 Mikkeli, Finland.
Sci Total Environ. 2018 Dec 15;645:573-584. doi: 10.1016/j.scitotenv.2018.07.125. Epub 2018 Jul 19.
This study reveals the optimization of ultrasonic-Fenton process for the treatment of sludge taken from a local municipal wastewater treatment plant after anaerobic digestion. Box-Behnken design (BBD), a common approach of response surface methodology (RSM), was applied to evaluate and optimize the individual and interactive effects of three process variables, namely Fe dose, HO amount and sonication time for Fenton-ultrasonication method. Five dependent parameters including total organic carbon (TOC), extracellular polymeric substances (EPS), as LB-EPS and TB-EPS, and metals such as Zn and Cu were considered as the responses to investigate. According to the results of analysis of variances (ANOVA), five modelling equations are proposed that can be used to operate the design space with high regression coefficient R. Modelling results suggest that Fenton parameters, such as: HO and Fe dosage had the significant effects on the overall removal of TOC; whereas, sonication improved the metal removal from the sludge sample. Based on response surface methodology, best performance is achievable under the following conditions: 36 mM of Fe, 320 mM HO with 30 min of sonication respectively for all of the responses.
本研究揭示了超声-Fenton 工艺在处理经厌氧消化后的城市污水处理厂剩余污泥中的优化。响应面法（RSM）中的 Box-Behnken 设计（BBD）被应用于评估和优化三个工艺变量（Fe 剂量、HO 量和超声时间）的单独和交互作用，这些变量对于 Fenton-超声方法至关重要。五个依赖参数，包括总有机碳（TOC）、胞外聚合物物质（EPS），如 LB-EPS 和 TB-EPS，以及 Zn 和 Cu 等金属，被视为响应，以研究其去除效果。根据方差分析（ANOVA）的结果，提出了五个建模方程，可以用于在高回归系数 R 的设计空间中进行操作。建模结果表明，Fenton 参数（如 HO 和 Fe 剂量）对 TOC 的整体去除具有显著影响；而超声则提高了污泥样品中金属的去除率。根据响应面法，在以下条件下可以达到最佳性能：Fe 为 36mM，HO 为 320mM，超声时间为 30 分钟，这些条件适用于所有的响应。
