Model Development And Experimental Validation For Crystal Shape Control By Using Tailored Mixtures Of Crystal Growth Modifiers

The quality of crystalline products is often determined by the shape distribution, because its significant effect on downstream processes as well as on biological activity. Thus, controlling the crystal shape is important, especially in the pharmaceutical industry. In this work, we describe a new methodology of investigation, simulation and control of the crystal shape by using tailored mixtures of crystal growth modifiers (CGM). Particle Vision Measurement (PVM) and image analysis were applied to track the shape in real time. The effect of CGMs on the morphology is investigated by combining the growth kinetic model with competitive adsorption mechanism of the CGMs on the crystal face and their incorporation in the population balance model (PBM). The model parameters are identified using experimental data. The process simulator is proven to be an effective tool for investigating the process and calculation of the required CGM concentrations to achieve desired crystal shape.