Abstract：
The present work deals with the optimization of basic fuchsin dye removal from an aqueous solution using the ultraviolet UV/H2O2 process. Response Surface Modeling (RSM) based on Box-Behnken experimental design (BBD) was applied as a tool for the optimization of operating conditions such as initial dye concentration (10-50 ppm), hydrogen peroxide dosage (H2O2) (10-20 mM/L) and irradiation time (60-180 min), at pH = 7.4 under ultra-violet irradiation (254 nm and 25 W intensity). Chemical oxygen demand (COD abatement) was used as a response variable. The Box-Behnken Design can be employed to develop a mathematical model for predicting UV/H2O2 performance for COD abatement. COD abatement is sensitive to the concentration of hydrogen peroxide and irradiation time. Statistical analyses indicate a high correlation between observed and predicted values (R2 > 0.98). In the BBD predictions, the optimal conditions in the UV/H2O2 process for removing 99.3% of COD were found to be low levels of pollutant concentration (10 ppm), a high concentration of hydrogen peroxide dosage (20 mM/L), and an irradiation time of 80 min.
摘要：
本工作涉及使用紫外线UV/H2O2工艺从水溶液中去除碱性品红染料的优化。基于Box-Behnken实验设计（BBD）的响应面建模（RSM）被用作优化操作条件的工具，例如初始染料浓度（10-50ppm），过氧化氢剂量（H2O2）（10-20mM/L）和照射时间（60-180分钟），在紫外线照射(254nm和25W强度)下,pH=7.4。使用化学需氧量(COD减少)作为响应变量。Box-Behnken设计可用于开发用于预测COD减少的UV/H2O2性能的数学模型。COD降低对过氧化氢浓度和辐照时间敏感。统计分析表明观察值和预测值之间的高度相关性(R2>0.98)。在BBD预测中，在UV/H2O2过程中去除99.3%的COD的最佳条件被发现是低水平的污染物浓度（10ppm），高浓度的过氧化氢剂量（20mM/L），和80分钟的照射时间。
