Chemical Engineering Department, University of Calcutta, 92, A. P. C. Road, Kolkata 700 009, West Bengal, India.
Chemical Engineering Department, University of Calcutta, 92, A. P. C. Road, Kolkata 700 009, West Bengal, India.
J Hazard Mater. 2014 May 30;273:94-103. doi: 10.1016/j.jhazmat.2014.03.025. Epub 2014 Mar 27.
Hyacinth root was used as a biosorbent for generating adsorption data in fixed-bed glass column. The influence of different operating parameters like inlet Pb(II) ion concentration, liquid flow rate and bed height on the breakthrough curves and the performance of the column was studied. The result showed that the adsorption efficiency increased with increase in bed height and decreased with increase in inlet Pb(II) ion concentration and flow rate. Increasing the flow rate resulted in shorter time for bed saturation. The result showed that as the bed height increased the availability of more number of adsorption sites in the bed increased, hence the throughput volume of the aqueous solution also increased. The adsorption kinetics was analyzed using different models. It was observed that maximum adsorption capacity increased with increase in flow rate and initial Pb(II) ion concentration but decreased with increase in bed height. Applicability of artificial neural network (ANN) modeling for the prediction of Pb(II) ion removal was also reported by using multilayer perceptron with backpropagation, Levenberg-Marquardt and scaled conjugate algorithms and four different transfer functions in a hidden layer and a linear output transfer function.
萱草根被用作生物吸附剂，在固定床玻璃柱中生成吸附数据。研究了不同操作参数（如入口 Pb(II)离子浓度、液体流速和床层高度）对穿透曲线和柱性能的影响。结果表明，吸附效率随床层高度的增加而增加，随入口 Pb(II)离子浓度和流速的增加而降低。流速的增加导致床层饱和时间缩短。结果表明，随着床层高度的增加，床层中可用的吸附位数量增加，因此水溶液的通流体积也增加。通过不同模型对吸附动力学进行了分析。观察到最大吸附容量随流速和初始 Pb(II)离子浓度的增加而增加，但随床层高度的增加而降低。还报告了使用具有反向传播、Levenberg-Marquardt 和缩放共轭算法的多层感知器以及隐藏层和线性输出传递函数中的四个不同传递函数，对人工神经网络 (ANN) 模型在预测 Pb(II)离子去除方面的适用性。
