Multivariate curve resolution for kinetic modeling and scale-up prediction

Abstract

Abstract: An imine synthesis was investigated in a nearly isothermal oscillating segmented flow microreactor at different temperatures using non-invasive Raman spectroscopy. Multivariate curve resolution provided a calibration-free approach for obtaining kinetic parameters. The two different multivariate curve resolution approaches, soft and hard modeling, were applied and contrasted, leading to similar results. Taking heat and mass balance into account, the proposed kinetic model was applied for a model-based scale-up prediction. Finally, the reaction was performed in a 0.5 L semi-batch reactor, followed by in-line Raman spectroscopy and off-line gas chromatography analysis. The successful scale-up was demonstrated with a good agreement between measured and predicted concentration profiles. Highlights: • Oscillation segmented flow reactor with inline Raman spectroscopy. • Multivariate Curve Resolution with hard and soft constraints. • High quality kinetic model for scale-up predictions. Graphical abstract[Figure not available: see fulltext.].