Bilgin Simsek E, Avcı Tuna A O, Beker U
Chemical and Process Engineering Department, Yalova University, Yalova, Turkey,
Environ Sci Pollut Res Int. 2015 Mar;22(5):3249-56. doi: 10.1007/s11356-014-2975-8. Epub 2014 May 3.
The present study investigated the optimization of arsenic adsorption onto natural clinoptilolite (NC-Na). Response surface methodology in combination with Box-Behnken design was used to optimize the parameters of the adsorption process. Solution pH, temperature, and initial arsenic concentration were chosen as the main process variables, and the amount of arsenic adsorbed was selected as the investigated response. The analysis of variance results of the response surface model for arsenate (As(V)) adsorption on NC-Na showed that the effects and the interactions of pH and temperature were highly significant according to the p values (p < 0.05). The optimum conditions were found to be the solution pH of 5.0, temperature of 45 °C, and initial concentration of 7.8 mg L(-1). The response surfaces derived from the models revealed that solution pH and temperature showed the greatest effect on the As(V) adsorption capacity of natural clinoptilolite.
本研究考察了天然斜发沸石（NC-Na）对砷吸附的优化。采用响应面法结合Box-Behnken设计对吸附过程参数进行优化。选择溶液pH值、温度和初始砷浓度作为主要工艺变量，并选择砷吸附量作为研究响应。砷酸盐（As(V)）在NC-Na上吸附的响应面模型方差分析结果表明，根据p值（p < 0.05），pH值和温度的影响及相互作用高度显著。最佳条件为溶液pH值5.0、温度45℃和初始浓度7.8 mg L(-1)。模型得到的响应面表明，溶液pH值和温度对天然斜发沸石的As(V)吸附容量影响最大。
