Quality by design approach of a pharmaceutical gel manufacturing process, part 1: Determination of the design space

Juan G. Rosas, Marcel Blanco, Josep M. González, Manel Alcalá

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Abstract

This work was conducted in the framework of a quality by design project involving the production of a pharmaceutical gel. Preliminary work included the identification of the quality target product profiles (QTPPs) from historical values for previously manufactured batches, as well as the critical quality attributes for the process (viscosity and pH), which were used to construct a D-optimal experimental design. The experimental design comprised 13 gel batches, three of which were replicates at the domain center intended to assess the reproducibility of the target process. The viscosity and pH models established exhibited very high linearity and negligible lack of fit (LOF). Thus, R2 was 0.996 for viscosity and 0.975 for pH, and LOF was 0.53 for the former parameter and 0.84 for the latter. The process proved reproducible at the domain center. Water content and temperature were the most influential factors for viscosity, and water content and acid neutralized fraction were the most influential factors for pH. A desirability function was used to find the best compromise to optimize the QTPPs. The body of information was used to identify and define the design space for the process. A model capable of combining the two response variables into a single one was constructed to facilitate monitoring of the process. © 2011 Wiley-Liss, Inc. and the American Pharmacists Association.
Original languageEnglish
Pages (from-to)4432-4441
JournalJournal of Pharmaceutical Sciences
Volume100
Issue number10
DOIs
Publication statusPublished - 1 Jan 2011

Keywords

  • Analytical chemistry
  • Design of experiments
  • Design space
  • Hydrogel
  • Process analytical technology
  • Quality by design
  • Viscosity

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    Rosas, J. G., Blanco, M., González, J. M., & Alcalá, M. (2011). Quality by design approach of a pharmaceutical gel manufacturing process, part 1: Determination of the design space. Journal of Pharmaceutical Sciences, 100(10), 4432-4441. https://doi.org/10.1002/jps.22611