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Metal ions sorption equilibrium on chitosan foamedstructure

机译:壳聚糖泡沫结构上金属离子的吸附平衡

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In this study, experiments were carried out to estimate sorptivity of a chitosan foamedstructure and its selectivity towards Cu+2, Zn+2 and Cr+6 ions. In the case of single ions itwas found that in the whole range of concentrations, experimental data were welldescribed by the Langmuir-Freundlich equation which is a relationship between theamount of adsorbed metal per adsorbent mass unit and equilibrium concentration of thesolution. A mathematical description of sorption isotherms of the analyzed ions in thepresence of one or two additional ions in the solution is complicated from the theoreticalpoint of view. In this case the application of a neural MLP network was proposed. Thenetwork consisted of three inputs corresponding to equilibrium concentrations ofparticular components, a hidden layer and an output layer. On the basis of availableexperimental data in the so-called process of network training, the number of hiddenneurons and weights of neurons combinations were given. Calculations with the use ofMLP enabled description of sorption isotherms for one ion, for selected two and forthree ions present at the same time in the solution. The network enabled also an analysisof sorption of the selected ion, taking into account the effect of its concentration on thesorption of other ions. This assessment would not be possible in an experimental wayonly.
机译:在这项研究中,进行了实验以评估泡沫脱乙酰壳多糖的吸着性。 结构及其对Cu + 2,Zn + 2和Cr + 6离子的选择性。在单离子的情况下 发现在整个浓度范围内,实验数据都很好 由Langmuir-Freundlich方程描述 每个吸附剂质量单位吸附金属的量和吸附剂的平衡浓度 解决方案。数学分析中离子吸附等温线的数学描述 从理论上讲,溶液中存在一两个附加离子是复杂的 观点看法。在这种情况下,提出了神经MLP网络的应用。这 网络由与平衡浓度相对应的三个输入组成 特定组件,隐藏层和输出层。在可用的基础上 实验数据在所谓的网络训练过程中,隐藏的数量 给出了神经元和神经元组合的权重。使用的计算 使用MLP可以描述一个离子,两个选定离子和另一个离子的吸附等温线 溶液中同时存在三个离子。网络还启用了分析 考虑到所选离子的吸附浓度对所选离子的影响 其他离子的吸附。不能通过实验方式进行此评估 只要。

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