Pfizer Inc., Eastern Point Road, Groton, CT 06340, USA.
J Chromatogr A. 2012 Mar 2;1227:73-81. doi: 10.1016/j.chroma.2011.12.042. Epub 2011 Dec 20.
Simulated moving bed (SMB) chromatography is a complicated process that generally requires modeling to determine starting conditions. Typically one uses the triangle theory to arrive at these starting conditions. The most common adsorption isotherm model used to construct the triangle is the Langmuir isotherm or an isotherm derived from the Langmuir isotherm. Often, modeling software supplied by the SMB manufacturer is used to determine the Langmuirian isotherm parameters. This proprietary approach, while successful in most cases, gives inaccurate results when the adsorption of one of the components is dominated by an S-shaped isotherm. Such failures require lengthy and expensive trial-and-error procedures to optimize the separation. In this paper, we apply an empirical model for S-shaped isotherms to the problem. With this isotherm model a triangle was constructed using the equilibrium dispersive model to simulate the SMB process. The starting conditions predicted by this approach were far more accurate than those determined by the proprietary approach.
模拟移动床 (SMB) 色谱是一个复杂的过程，通常需要建模来确定起始条件。通常使用三角形理论来获得这些起始条件。最常用的用于构建三角形的吸附等温线模型是 Langmuir 等温线或由 Langmuir 等温线导出的等温线。通常，使用 SMB 制造商提供的建模软件来确定 Langmuir 等温线参数。这种专有的方法在大多数情况下都很成功，但当其中一种组分的吸附由 S 形等温线主导时，会得到不准确的结果。这种失败需要冗长且昂贵的反复试验程序来优化分离。在本文中，我们将经验模型应用于 S 形等温线问题。使用这种等温线模型，通过平衡弥散模型构建三角形来模拟 SMB 过程。这种方法预测的起始条件比专有的方法更准确。
