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Determination of significant factors in the removal of Cu(II) from aqueous solutions by applying adsorption method: using factorial design

机译:应用吸附法测定从水溶液中去除Cu(II)的重要因素:采用析因设计

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This paper aims to prove that adsorption is one of the most applicable, efficient, and inexpensive processes in the removal of heavy metals from water. In this research, commercially activated carbon and clinoptilolite were used as adsorbents in order to adsorb Cu(II) in the aqueous solutions. The effects of different experiment control factors including pH, time, temperature, adsorbent dose, initial concentration of Cu(II), mixing rate, and type of adsorbent have been investigated through the equations model designed by a two-level fractional factorial design in a batch system. Furthermore, by employing the experimental results, a linear mathematical regression model which represents the influence of each factors and their mutual interactions was established. Finally, the results declared that pH and temperature are significant among the main factors. Besides, the interaction of time and mixing speed was noticeable, so it was observed that the pH level of solution was the most influential parameter in the removal of metal ion.
机译:本文旨在证明吸附是从水中去除重金属的最适用,有效和廉价的方法之一。在这项研究中,商业活性炭和斜发沸石被用作吸附剂,以吸附水溶液中的Cu(II)。通过两级分数因子设计设计的方程模型,研究了pH,时间,温度,吸附剂剂量,Cu(II)的初始浓度,混合速率和吸附剂类型等不同实验控制因素的影响。批处理系统。此外,通过利用实验结果,建立了代表每个因素及其相互影响的线性数学回归模型。最后,结果表明pH和温度在主要因素中很重要。此外,时间和混合速度之间的相互作用是显着的,因此观察到溶液的pH值是去除金属离子中影响最大的参数。

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