Many decisions must be made when determining design and operation of a chromatographic process. Such decisions should optimize the performance, including product purity, recovery, productivity, and desorbent consumption. For this problem, model-based optimization has been shown to be a powerful approach, aided by recent developments in modeling of chromatographic processes. In this article, past studies on model-based optimization for single and multi-column chromatographic processes are reviewed. Focus is placed on applications of mathematical programming techniques. More challenging problems including online optimization and flowsheet design are also discussed.

中文翻译：

---

色谱过程基于模型的优化策略：综述

在确定色谱过程的设计和操作时，必须做出许多决定。此类决策应优化性能，包括产品纯度，回收率，生产率和解吸剂消耗。对于此问题，基于色谱过程建模的最新进展已证明基于模型的优化是一种强大的方法。在本文中，回顾了以往基于模型的单柱和多柱色谱过程优化研究。重点放在数学编程技术的应用上。还讨论了更具挑战性的问题，包括在线优化和流程图设计。