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Demonstrating scalability between two blender types using DEM

By Peter Boehling1; Johan Remmelgas1; Mohammadsadegh Salehi1; Johannes Poms1; Rúben Martins Fraga1; Manel Bautista2; Johannes G. Khinast3; Emmanuela Gavi2; Michela Beretta1

1. Research Center Pharmaceutical Engineering GmbH, Graz 2. Pharmaceutical Technical Development Synthetic Molecules, F. Hoffmann-La Roche 3. Research Center Pharmaceutical Engineering GmbH, Graz, IPPT, Graz University of Technology,

Published on

Abstract

Powder blending is a critical step in pharmaceutical manufacturing that can impact product quality such as tablet tensile strength. This study utilized the Discrete Element Method (DEM) to investigate blending in a 5-liter mini-batch and a 2-liter Turbula blender. DEM parameters were calibrated using small-scale powder characterization tests, so that the particle behavior in the DEM simulations matches the measured behavior. The research explored the effects of blender designs and process conditions on blending and lubricant dispersion. A predictive model for tablet tensile strength was developed. The model takes the lubricant’s dispersion via the lubrication energy into account. The model is then used to predict the tablet tensile strength depending on the chosen process parameters, blending speed, duration, and fill level. DEM simulations enabled scaling between the two blenders, providing valuable insights for a semi-continuous manufacturing process based on mini-batch blending. The findings contribute to a deeper understanding of blending mechanics, offering potential enhancements in pharmaceutical manufacturing efficiency and product consistency.

Journal

International Journal of Pharmaceutics

DOI

10.1016/j.ijpharm.2024.124773

Type of publication

Peer-reviewed journal

Affiliations

  • Research Center Pharmaceutical Engineering GmbH, Graz, Austria
  • Pharmaceutical Technical Development Synthetic Molecules, F. Hoffmann-La Roche, Basel, Switzerland
  • IPPT, Graz University of Technology, Graz, Austria

Article Classification

Research article

Classification Areas

  • API
  • Oral Solid Dosage

Tags