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镧系元素铕的制备色谱纯化的建模与优化。

Modelling and optimisation of preparative chromatographic purification of europium.

机构信息

Department of Chemical Engineering, Centre for Chemistry and Chemical Engineering, Lund University, P.O. Box 124, SE-221 00 Lund, Sweden.

出版信息

J Chromatogr A. 2012 Jan 13;1220:21-5. doi: 10.1016/j.chroma.2011.11.028. Epub 2011 Nov 23.

DOI:10.1016/j.chroma.2011.11.028
PMID:22189296
Abstract

A model commonly used to describe the separation of biomolecules was used to simulate the harsh environment when eluting neodymium, samarium, europium and gadolinium with a hot acid. After calibration, the model was used to optimise the preparative separation of europium, as this is the most valuable of the four elements. A kinetic dispersive model with a Langmuir mobile phase modulator isotherm was used to describe the process. The equilibration constant, the stoichiometric coefficient and the column capacity for the components were calibrated. The model fitted the experimental observations well. Optimisation was achieved using a differential evolution method. As the two objective functions used in optimising the process, productivity and yield, are competing objectives, the result was not a single set point but a Pareto front.

摘要

一种常用于描述生物分子分离的模型被用于模拟用热酸洗脱钕、钐、铕和钆时的恶劣环境。经过校准后,该模型被用于优化铕的制备性分离,因为铕是这四种元素中最有价值的。一个具有朗缪尔流动相调节剂的动力学弥散模型被用于描述这个过程。对各组分的平衡常数、化学计量系数和柱容量进行了校准。模型很好地拟合了实验观测结果。使用差分进化法进行了优化。由于在优化过程中使用的两个目标函数——生产率和收率——是相互竞争的目标,因此结果不是单个设定点,而是帕累托前沿。

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