Analysis of the effect of formulation properties and process parameters on granule formation in twin-screw wet granulation.

Michiel Peeters, Ana Alejandra Barrera Jiménez, Kensaku Matsunami, Michael Ghijs, Eduardo Dos Santos Schultz, Mina Roudgar, Tamas Vigh, Fanny Stauffer, Ingmar Nopens, Thomas De Beer

Journal: International journal of pharmaceutics 2024;650():123671

PMID: 38065345

Abstract

In the last few years, twin-screw wet granulation (TSWG) has become one of the key continuous pharmaceutical unit operations. Despite the many studies that have been performed, only little is known about the effect of the starting material properties on the stepwise granule formation along the length of the twin-screw granulator (TSG) barrel. Hence, this study obtained a detailed understanding of the effect of formulation properties (i.e., Active Pharmaceutical Ingredient (API) properties, formulation blend particle size distribution and formulation drug load) and process settings on granule formation in TSWG. An experimental set-up was used allowing the collection of granules at the different TSG compartments. Granules were characterized in terms of granule size, shape, binder liquid and API distributions. Liquid-to-solid (L/S) ratio was the only TSG process parameter impacting the granule size and shape evolution. Particle size and flow properties (e.g., flow rate index) had an important effect on the granule size and shape changes whereas water-related properties (e.g., water binding capacity and solubility) became influential at the last TSG compartments. The API solubility and L/S ratio were found to have a major impact on the distribution of binder liquid over the different granule size fractions. In the first TSG compartment (i.e., wetting compartment), the distribution of the API in the granules was influenced by its solubility in the granulation liquid.

Copyright © 2023 Elsevier B.V. All rights reserved.

Address: Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Oost-Vlaanderen, Belgium.; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent 9000, Oost-Vlaanderen, Belgium.; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Ghent University, Ottergemsesteenweg 460, Ghent 9000, Oost-Vlaanderen, Belgium; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent 9000, Oost-Vlaanderen, Belgium. Electronic address: [email protected].; Discovery, Product Development & Supply, Janssen R&D, Beerse B-2340, Belgium.; Product Design & Performance, UCB, Braine l'Alleud 1420, Belgium.; BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure links 653, Ghent 9000, Oost-Vlaanderen, Belgium.
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