响应面法优化氧化铁负载高岭石对钨的吸附

Response Surface Methodology Optimization of Tungsten Adsorption on Iron Oxide−Loaded Kaolinite

  • 摘要: 高岭石具有良好的化学惰性以及可调控的比表面积和表面官能团,通过与氧化铁等功能组分结合,可提升其吸附容量,调控吸附选择性以及改善稳定性。以氧化铁负载高岭石为吸附材料,优化吸附条件以提升钨的去除率,选择pH、钨(W)初始浓度、反应温度、反应时间为影响因素,通过Box−Behnken 设计的响应面法优化氧化铁负载高岭石吸附W的过程。研究结果表明:氧化铁负载高岭石吸附W过程的最佳反应条件为pH值3.1、W初始质量浓度194 mg/L、反应温度39.7 ℃、反应时间3.1 h,在此条件下预测的最高W吸附率为85%,与实际实验结果吸收率相差0.23百分点。此研究结果可以将矿物复合形态的吸附潜力放大并与工程应用对接,提供一种绿色、高效、可持续且具应用潜力的土壤修复与水体治理解决方案。

     

    Abstract: Kaolinite exhibits excellent chemical inertness, a tunable specific surface area, and modifiable surface functional groups. Its combination with functional components, such as iron oxide, enhances its adsorption capacity, regulates its selectivity, and improves its stability. This study optimized the adsorption conditions for tungsten (W) removal using iron oxide−loaded kaolinite as the adsorbent. A response surface methodology based on a Box−Behnken design was employed, with solution pH, initial W concentration, temperature, and reaction time as the influencing factors. The results indicate that the optimal conditions are: pH 3.1, an initial W concentration of 194 mg/L, a temperature of 39.7 ℃, and a reaction time of 3.1 h. Under these conditions, the predicted maximum W adsorption rate was 85%, which differed from the experimental value by a mere 0.23 percentage points. These findings demonstrate the potential of scaling up these mineral composite structures for engineering applications, offering a green, efficient, and sustainable solution for soil and water remediation.

     

/

返回文章
返回