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首页> 外文期刊>Separation and Purification Technology >Multi-objective optimization of simulated moving bed and Varicol processes for enantio-separation of racemic pindolol
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Multi-objective optimization of simulated moving bed and Varicol processes for enantio-separation of racemic pindolol

机译：外消旋哌多洛尔对映体分离的模拟移动床和Varicol工艺的多目标优化

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摘要

Rigorous multi-objective optimization of simulated moving bed (SMB) and Varicol processes for enantio-separation of racemic pindolol, a nonselective beta blocker in terms of cardio-selectivity, was carried out in this study using an experimentally verified mathematical model and isotherm parameters. Several two-objective optimization problems were solved simultaneously maximizing product purity and recovery for both SMB and Varicol processes. The shift in Pareto optimal solutions was investigated to study the effect of feed concentration, eluent flow rate as well as column geometry and column configuration. A state-of-the-art optimization technique, non-dominated sorting genetic algorithm with jumping genes (NSGA-II-JG) was used to obtain the Pareto optimal solutions. Significant performance improvement was achieved when rigorous optimization was performed. Subsequently, the optimized solutions were verified experimentally. The results show that operating conditions for SMB and Varicol processes should be selected as a compromise between separation performance and robustness.
机译：在这项研究中，使用经过实验验证的数学模型和等温线参数，对模拟移动床（SMB）和Varicol工艺进行了严格的多目标优化，以消旋消旋哌多洛尔（对心脏选择性而言是一种非选择性β受体阻滞剂）的对映体。同时解决了几个两个目标的优化问题，使SMB和Varicol工艺的产品纯度和回收率最大化。研究了帕累托最优溶液的变化，以研究进料浓度，洗脱液流速以及色谱柱几何形状和色谱柱配置的影响。使用最新的优化技术，具有跳跃基因的非支配排序遗传算法（NSGA-II-JG）来获得Pareto最优解。进行严格的优化后，性能得到了显着改善。随后，对优化方案进行了实验验证。结果表明，应选择SMB和Varicol工艺的操作条件，以权衡分离性能和耐用性。

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