Abstract
Populationbalance modelling is a widely used tool to understand the mechanism and kineticparameters of crystal growth at the bench, to facilitate scale-up to Production.In this work, we present recommendations for particle size and shape analyticalmethods to improve the predictive capability of 1D and 2D population balancemodels for crystallisation of contemporary active ingredients. For 1D models, wereport that the optical model for laser diffraction, a common technique formeasuring particle size distribution, can significantly impact the growth parametersresolved from the model. For 2D models, particle image analysis of powders andsingle crystals give valuable length and width data to predict how the aspectratio of particles evolves. Future work will be directed towards applying thesetools when scaling a crystallization process.
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