Prototype of a system for optimal control of the crystallisation process using the extended DNC method

In the pharmaceutical industry, the production of fine chemicals, product quality and reproducibility are extremely important. In this research, by using in-line monitoring and innovative reactor design, a system is developed for optimal management of the crystallisation process based on direct nucleation control. The developed system includes active monitoring of the crystallisation process by microscopy, image processing using machine learning, and advanced process control. The proposed solution offers the possibility of improving control of the crystallisation with minimal investment.