Comparison of general rate model with a new model--artificial neural network model in describing chromatographic kinetics of solanesol adsorption in packed column by macroporous resins.
Comparison of general rate model with a new model--artificial neural network model in describing chromatographic kinetics of solanesol adsorption in packed column by macroporous resins.
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DOI：
10.1016/j.chroma.2007.01.065
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发表时间：
2007-03
期刊：
影响因子：
--
通讯作者：
Xueling Du;Qipeng Yuan;Jinsong Zhao;Ye Li
中科院分区：
文献类型：
--
作者：
Xueling Du;Qipeng Yuan;Jinsong Zhao;Ye Li
本文建立了大孔吸附树脂对茄尼醇的吸附过程的两个模型，即考虑对流、轴向扩散、颗粒内外传质阻力和粒径分布的一般速率模型和人工神经网络模型。首先，在填料塔中分别进行了静态平衡实验和动力学实验，获得了实验数据。通过对静态实验数据的拟合，得到了Langmuir等温式和Freundlich等温式，并采用Langmuir等温式与通用速率模型耦合进行模拟，以获得更好的相关系数。模拟结果表明，含PSD的通用速率模型的理论预测值与实验值吻合较好。在此基础上，建立了一个新的模型--人工神经网络模型。仿真结果表明，人工神经网络模型能更好地描述当前系统，甚至优于一般速率模型。最后，利用人工神经网络模型的预测能力，研究了各实验参数对预测结果的影响。预测结果表明，随着颗粒孔隙率和床层高径比的增大，穿透时间延长。相反，进料浓度、流速、平均粒径和床层孔隙率的增加降低了穿透时间。
Herein, two models, the general rate model taking into account convection, axial dispersion, external and intra-particle mass transfer resistances and particle size distribution (PSD) and the artificial neural network model (ANN) were developed to describe solanesol adsorption process in packed column using macroporous resins. First, Static equilibrium experiments and kinetic experiments in packed column were carried out respectively to obtain experimental data. By fitting static experimental data, Langmuir isotherm and Freundlich isotherm were estimated, and the former one was used in simulation coupled with general rate model considering better correlative coefficients. The simulated results showed that theoretical predictions of general rate model with PSD were well consistent with experimental data. Then, a new model, the ANN model, was developed to describe present adsorption process in packed column. The encouraging simulated results showed that ANN model could describe present system even better than general rate model. At last, by using the predictive ability of ANN model, the influence of each experimental parameter was investigated. Predicted results showed that with the increases of particle porosity and the ratio of bed height to inner column diameter (ROHD), the breakthrough time was delayed. On the contrary, an increase in feed concentration, flow rate, mean particle diameter and bed porosity decreased the breakthrough time.