Toumi A, Engell S, Ludemann-Hombourger O, Nicoud R M, Bailly M
Laboratory of Process Control, Universität Dortmund, Emil-Figge-Strasse 70, D-44221 Dortmund, Germany.
J Chromatogr A. 2003 Jul 18;1006(1-2):15-31. doi: 10.1016/s0021-9673(03)00430-8.
A new continuous chromatographic process (Varicol) has been presented recently. Its basic principle consists, in contrast to the traditional simulated moving bed (SMB) technology, of an asynchronous shift of the inlet/outlet lines in a multi-column system with a recycle loop. Due to the stronger influence of the discrete dynamics on the plant behavior, the design of a Varicol process requires the use of model-based optimization to take advantage of the very high flexibility of this process. The equilibrium theory which has been successfully applied to SMB by many practitioners fails to predict the region of complete separation accurately. In this paper, we present a rigorous model-based optimization framework, which can handle the SMB and the novel Varicol process in a systematic manner. The feasibility of the approach is demonstrated by the separation of a mixture of propranolol isomers which exhibits a highly non-linear multi-component adsorption behavior. Experimental results are presented and discussed.
最近提出了一种新的连续色谱过程（Varicol）。与传统的模拟移动床（SMB）技术相比，其基本原理是在具有循环回路的多柱系统中使进出料管线异步移动。由于离散动力学对装置行为的影响更强，Varicol过程的设计需要使用基于模型的优化方法，以利用该过程的高度灵活性。许多从业者已成功应用于SMB的平衡理论无法准确预测完全分离区域。在本文中，我们提出了一个严格的基于模型的优化框架，该框架可以系统地处理SMB和新型Varicol过程。通过分离表现出高度非线性多组分吸附行为的普萘洛尔异构体混合物，证明了该方法的可行性。给出并讨论了实验结果。
