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Tags: Powder characterization

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  1. Improvement of a pharmaceutical powder mixing process in a tote blender via DEM simulations

    | Contributor(s):: Benedict Benque, Luca Orefice, Thomas Forgber, Matthias Habeler, Beate Schmid, Johan Remmelgas, Johannes Khinast

    An industrial-scale pharmaceutical powder blending process was studied via discrete element method (DEM) simulations. A DEM model of two active pharmaceutical ingredient (API) components and a combined excipient component was calibrated by matching the simulated response in a dynamic angle of...

  2. Using a material property library to find surrogate materials for pharmaceutical process development

    | Contributor(s):: Escotet-Espinoza, MS, Moghtadernejad, SScicolone, J, Wang, YF, Pereira, G, Schafer, E, Vigh, T, Klingeleers, D, Ierapetritou, M, Muzzio, FJ

    Material properties are known to have a significant impact on pharmaceutical manufacturing performance, particularly for solid product processes. Evaluating the performance of a specific material, for example an active pharmaceutical ingredient or excipient, is critical during development stages...

  3. Identifying a Loss-in-Weight Feeder Design Space Based on Performance and Material Properties

    | Contributor(s):: Li, Tianyi, Scicolone, James V. Sanchez, Eric, Muzzio, Fernando J.

    Powder properties, such as density and adhesion, can cause large variability in the flow rate of ingredients fed from feeders, which can propagate through the system. Knowing an ideal range of operation and correlating powder properties to process performance can result in faster optimization of...

  4. Characterization of material properties

    | Contributor(s):: Razavi, Sonia, Oka, Sarang, Escotet-Espinoza, M. Sebastian, Wang, Yifan, Li, Tianyi, Futran Mauricio., Muzzio, Fernando

    This chapter describes the importance of deepening our understanding of material properties and their effect on process performance. There are many measurement techniques to describe the complex nature of powders, some of which are provided in this chapter. Strong knowledge of multivariate...