4.7 Article

Application of Positron Emission Particle Tracking (PEPT) for the evaluation of powder behaviour in an incline linear blender for Continuous Direct Compression (CDC)

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DOI: 10.1016/j.ijpharm.2023.123361

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Positron Emission Particle Tracking; PEPT; Continuous Direct Compression; CDC; Pharmaceutical; Formulation; Blending

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This paper introduces the application research of positron emission particle tracking (PEPT) technique, which can observe and quantify the characteristics of particle motion in real-time, and provide in-depth understanding of the behavior of powders in continuous blender systems. The results of the study indicate that increasing the RPM and hold-up mass can improve mixing conditions, and a convection-like mixing phenomenon was observed under specific conditions.
ABS T R A C T Positron Emission Particle Tracking (PEPT) is a non-invasive measurement technique which offers the ability to track the motion of individual particles with high temporal and spatial resolution, and thus build up an understanding of the bulk behaviour of a system from its microscopic (particle level) dynamics. Using this measurement technique, we have developed a series of novel metrics to better understand the behaviours of powders during the steady-state operation of a continuous blender system. Results are presented concerning the response of particle motion to processing parameters (mixing blade configuration and RPM), quantifying the motion in terms of predicted mixing performance. It was found that both increasing rpm and increasing hold-up mass (by selecting fewer transport blades and more mixing blades) provided improved mixing conditions. Interestingly, under specific conditions, there is evidence of convection-like mixing occurring at the interface of the transport and mixing region. This suggests the existence of a potential 'folding region' whereby powder is transported up the barrel (and away from the powder bulk bed) before being reconstituted back into the bulk mass. The results also provide valuable experimental data for the development, calibration and validation of future Discrete Element Method (DEM) simulations.

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