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Adsorptive removal of arsenic by novel iron/olivine composite: Insights into preparation and adsorption process by response surface methodology and artificial neural network

机译:新型铁/橄榄石复合材料对砷的吸附去除:响应面法和人工神经网络对制备和吸附过程的认识

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Olivine, a low-cost natural material, impregnated with iron is introduced in the adsorptive removal of arsenic. A wet impregnation method and subsequent calcination were employed for the preparation of iron/olivine composite. The major preparation process parameter, viz., iron loading and calcination temperature were optimized through the response surface methodology coupled with a factorial design. A significant variation of adsorption capacity of arsenic (measured as total arsenic), i.e., 63.15 to 310.85 mg/kg for arsenite [As(III)T] and 76.46 to 329.72 mg/kg for arsenate [As(V)T] was observed, which exhibited the significant effect of the preparation process parameters on the adsorption potential. The iron loading delineated the optima at central points, whereas a monotonous decreasing trend of adsorption capacity for both the As(III)Tand As(V)Twas observed with the increasing calcination temperature. The variation of adsorption capacity with the increased iron loading is more at lower calcination temperature showing the interactive effect between the factors. The adsorbent prepared at the optimized condition of iron loading and calcination temperature, i.e., 10% and 200 °C, effectively removed the As(III)Tand As(V)Tby more than 96 and 99%, respectively. The material characterization of the adsorbent showed the formation of the iron compound in the olivine and increase in specific surface area to the tune of 10 multifold compared to the base material, which is conducive to the enhancement of the adsorption capacity. An artificial neural network was applied for the multivariate optimization of the adsorption process from the experimental data of the univariate optimization study and the optimized model showed low values of error functions and high R2values of more than 0.99 for As(III)Tand As(V)T. The adsorption isotherm and kinetics followed Langmuir model and pseudo second order model, respectively demonstrating the chemisorption in this study.
机译:橄榄石是一种低成本的天然材料,含铁,可通过吸附去除砷。采用湿法浸渍和随后的煅烧来制备铁/橄榄石复合材料。通过响应面法和析因设计,优化了主要制备工艺参数,即铁含量和煅烧温度。砷的吸附量(以总砷计)有显着变化,即砷[As(III)T]为63.15至310.85 mg / kg,砷酸[As(V)T]为76.46至329.72 mg / kg ,显示了制备工艺参数对吸附电位的显着影响。铁负载描绘了在中心点的最佳值,而随着煅烧温度的升高,As(III)T和As(V)T的吸附容量均呈单调下降趋势。在较低的煅烧温度下,随着铁负载量的增加,吸附容量的变化更大,显示了这些因素之间的相互作用。在铁负载和煅烧温度的最佳条件下(即10%和200°C)制备的吸附剂分别有效去除As(III)T和As(V)T的量分别超过96%和99%。吸附剂的材料表征表明,橄榄石中铁化合物的形成和比表面积的增加是基础材料的10倍,这有利于提高吸附能力。从单变量优化研究的实验数据中将人工神经网络应用于吸附过程的多变量优化,优化后的模型显示出较低的误差函数值,而As(III)T和As(V)的R2值均大于0.99。 T.吸附等温线和动力学遵循Langmuir模型和伪二级模型,分别证明了本研究中的化学吸附。

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