Development of an Image-based Method for Tablet Microstructure Description and Its Correlation with API Release Rate

AAPS PharmSciTech. 2023 Oct 2;24(7):199. doi: 10.1208/s12249-023-02658-w.

Abstract

The performance of a pharmaceutical formulation, such as the drug (API) release rate, is significantly influenced by the properties of the materials used, the composition of the final product and the tablet compression process parameters. However, in some cases, the knowledge of these input parameters does not necessarily provide a reliable description or prediction of tablet performance. Therefore, the knowledge of tablet microstructure is desirable to understand such formulations. Commonly used analytical techniques, such as X-ray tomography and intrusion mercury porosimetry, are not widely used in pharmaceutical companies due to their price and/or toxicity, and therefore, efforts are made to develop a tool for fast and easy microstructure description. In this work, we have developed an image-based method for microstructure description and applied it to a model system consisting of ibuprofen and CaHPO4∙2H2O (API and excipient with different deformability). The obtained parameter, the quadratic mean of the equivalent diameter of the non-deformable, brittle excipient CaHPO4∙2H2O, was correlated with tablet composition, compression pressure and API release rate. The obtained results demonstrate the possibility of describing the tablet dissolution performance in the presented model system based on the microstructural parameter, providing a possible model system for compressed solid dosage forms in which a plastic component is present and specific API release is required.

Keywords: SEM image analysis; USP4 dissolution; deformability; flow-through dissolution; tablet microstructure.

MeSH terms

  • Drug Compounding
  • Excipients* / chemistry
  • Ibuprofen / chemistry
  • Models, Biological*
  • Tablets / chemistry

Substances

  • Excipients
  • Tablets
  • Ibuprofen