Abstract
Abstract In this contribution, we show how a model is used to obtain worst-case estimates for product impurities in preferential crystallization of enantiomers. The estimates can be obtained for either a simple batch process in a single vessel, or for a coupled mode of operation of two vessels. We demonstrate, supported by a case study, how the estimates enable the use of a combined control strategy consisting of continuous feedback control and process stopping when critical impurity constraints are hit.
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