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Phosphate removal from aqueous solutions using magnetic multi-walled carbon nanotube; optimization by response surface methodology

机译:使用磁性多壁碳纳米管从水溶液中去除磷酸盐;通过响应面法进行优化

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摘要

This work presents the application of magnetic multi-walled carbon nanotubes (MMWCNTs) for the removal of phosphate from aqueous solutions. Prepared nanoparticles were characterized by TEM, FTIR, VSM, and XRD measurements. The prepared magnetic adsorbent can be well dispersed in the aqueous solutions and quickly separated from the medium after loading on the adsorbent by a magnet. The application of response surface methodology (RSM) was investigated for optimizing the removal of phosphate from aqueous solutions using MMWCNTs. The effects of D/C (adsorbent dosage per initial concentration of pollutant ((mg) adsorbent/(mg/l) initial) and initial pH on phosphate removal (%) evaluated by RSM. Using RSM methodology, a quadratic polynomial equation was used for the removal of phosphate by multiple regression analysis. The optimum removal of phosphate was 97.35% at pH = 4 and D/C = 2.50. The experimental data were analyzed by the Langmuir and Freundlich adsorption models. The Maximum adsorption capacity for phosphate removal was obtained as 256 mg.g(-1) from the Langmuir is other mmodel. The present work indicates the novel nature of the MMWCNT, which can remove the phosphates from the water.
机译:这项工作介绍了磁性多壁碳纳米管(MMWCNTs)从水溶液中去除磷酸盐的应用。通过TEM,FTIR,VSM和XRD测量对制备的纳米颗粒进行表征。所制备的磁性吸附剂可以很好地分散在水溶液中,并在通过磁体加载到吸附剂上之后迅速与介质分离。研究了响应面方法学(RSM)的应用,以优化使用MMWCNT从水溶液中去除磷酸盐的能力。 D / C(污染物初始浓度(mg吸附剂/ mg / l初始浓度)的吸附剂量和初始pH对通过RSM评估的磷酸盐去除率(%)的影响,使用RSM方法,使用二次多项式方程式多元回归分析法测定磷酸盐的最佳去除率在pH = 4和D / C = 2.50时为97.35%,采用Langmuir和Freundlich吸附模型对实验数据进行了分析,最大吸附量为从朗缪尔(Langmuir)中获得的256 mg.g(-1)是另一种模型,目前的工作表明MMWCNT的新颖性质,它可以去除水中的磷酸盐。

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