油页岩吸附水中铜离子的响应面优化

在单因素实验的基础上,采用响应面优化法对油页岩吸附水中Cu2+的过程进行优化。设定吸附质/吸附剂、pH、反应时间为3个主要影响因子,Cu2+吸附率为响应值,结合实验结果建立了响应面模型。方差分析表明模型显著,可用于预测油页岩原矿对铜离子的吸附;优化后的吸附最佳条件吸附质/吸附剂=25 mg/g,pH=6,接触时间=29 min,预测吸附率可达100%。在此条件下,实测Cu2+的吸附率达98.4%,说明油页岩对Cu2+具有良好的吸附效果,可用于处理低浓度含铜废水。

Optimization of Adsorption Process of Copper Ion by Oil Shale Using Uniform Design and Response Surface Design

Response surface methodology （RSM） was used to develop predictive models for simulation and optimization of adsorption process based on single factor experiments. The input variables were the mass proportion for adsorbate and adsorbent, pH, and contact time, meanwhile the adsorption rate was considered as response. Analysis of variance （ANOVA） was employed to test the significance of response surface polynomials model developed by experimental design. Finally, modeling methodologies RSM was compared in terms of predictive abilities by plotting the generalization graphs. The optimum operating conditions was determined as follow： pH 6, initial concentration 25 mg/g, contact time 29 min. Under the obtained optimal conditions maximum adsorption rate was achieved 98.4 % experimentally. In the study, the results showed that oil shale was a potential low cost material which can be applied in wastewater treatment with low concentration of heavy metals.