Regression models of adsorbing nickel (II) ions by carbon sorbents

N. V. Irinchinova, V. Dudarev, E. Filatova, V. Aslamova
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Abstract

Abstract: The use of inexpensive materials such as sorbents increases the competitive advantages of removing heavy metal ions, including nickel (II) ions, from aqueous solutions and wastewater. Such materials include active carbons – carbon sorbents. The oxidized carbon sorbent AD-05-2 and its original analogue have been used as the object of this research. The oxidation of carbon sorbent AD-05-2 was conducted using a solution of nitric acid and urea following a conventional method. Oxidation resulted in improvement of the textural characteristics of the carbon sorbent. The total pore volume increased, including the volume of micropores, which had a positive effect on the sorption properties of the obtained sample. This article studies the adsorption of nickel (II) ions by the oxidized carbon sorbent AD-05-2 and its original analogue. For both models, the total time of establishing adsorptive equilibrium in the system adsorbate–adsorbent was 4 hours, pH = 9,6, and the range of temperatures – 298–338 K. The obtained experimental data on the nickel (II) ion adsorption are processed in the software package Statgraphics Plus. Adsorption isotherms are described using parabolic regression models, which cover 98.86–99.99% of the experimental data. The adsorption of nickel (II) ions increases with temperature, as indicated by a higher value of the first derivative dA/dCp, apparently, due to accelerated external diffusion. A significant steep rise of the isotherms corresponds to the temperature of 338 K, which indicates the diffusion effect on the adsorption process. The estimates of the accuracy of regression models are provided by the mean square σ and absolute Δ errors. Autocorrelation of experimental data is estimated using Durbin – Watson (DW) test. The obtained regression models can be applied for calculating the optimum parameters of nickel (II) ions’ adsorption from aqueous solutions and process stream using the oxidized carbonic sorbent AD-05-2 and its original analog.
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碳吸附剂吸附镍离子的回归模型
摘要:吸附剂等廉价材料的使用增加了从水溶液和废水中去除重金属离子(包括镍(II)离子)的竞争优势。这类材料包括活性碳-碳吸附剂。以氧化碳吸附剂AD-05-2及其原始类似物为研究对象。采用常规方法,在硝酸和尿素溶液中氧化碳吸附剂AD-05-2。氧化使碳吸附剂的结构特性得到改善。总孔隙体积增加,包括微孔体积,这对所得样品的吸附性能有积极影响。本文研究了氧化碳吸附剂AD-05-2及其原始类似物对镍离子的吸附。两种模型在pH = 9、pH = 6、温度范围- 298 ~ 338 K条件下,吸附-吸附剂体系中吸附平衡的建立总时间均为4小时。所得的镍离子吸附实验数据在Statgraphics Plus软件包中进行处理。采用抛物线回归模型描述吸附等温线,可覆盖98.86 ~ 99.99%的实验数据。镍(II)离子的吸附随温度升高而增加,一阶导数dA/dCp值较高,这显然是由于加速了外部扩散。当温度达到338 K时,等温线急剧上升,表明吸附过程中存在扩散效应。回归模型的精度由均方σ和绝对Δ误差来估计。采用Durbin - Watson (DW)检验估计实验数据的自相关。所得回归模型可用于计算氧化碳吸附剂AD-05-2及其原始模拟物对水溶液和工艺流程中镍(II)离子吸附的最佳参数。
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