响应曲面法优化电镀废水中六价铬的吸附去除特性

以模拟电镀废水为研究对象,利用响应曲面法对合成的新型吸附剂(改性玉米秸秆纤维素,MCCS)去除水中六价铬的条件进行优化.在前期单因素实验基础上,筛选出影响废水中六价铬去除率的主要因素;再根据Box-Behnken中心组合设计原理对筛选的主要因素进行优化,建立MCCS去除电镀废水六价铬的二次多项式回归模型.研究结果表明:该模型合理可靠,修正后去除六价铬的最优条件为:六价铬初始浓度200mg/L、反应温度33℃、pH值5左右.在此条件下,测得MCCS对水中六价铬的平均去除率为95.90%,与模型理论预测值96.10%基本吻合.响应曲面法可以用于MCCS对于电镀废水中六价铬去除特性的优化.

Optimizing the features of removing hexavalent chromium in the electroplating wastewater by using response surface method

In the article ,simulated electroplating wastewater was used as water samples .The optimal condition for a new type of adsorbent （MCCS） removing hexavalent chromium in wastewater was investigated by using response surface method（RSM ） .On the basis of previous single factor experiment ,the main factors influencing the removal rate of hexavalent chromium in wastewater were investigated;then the principle of Box-Behnken central com-posite design was used to optimize the critical factors ,and the regression equation was also established .The results showed：the regression equation is reliable to analyze and predict the reaction process .The revised optimal conditions for hexavalent chromium removal are as follows ：initial concentration of 200 mg/L ,reaction temperature of 33 ℃ ,and pH of 5 .The average removal rate of hexavalent chromium on MCCS is 95 .90% ,close to the predictive value of 96 .10% .RSM can be used for optimizing characteristics of hexavalent chromium removal on MCCS .