Capsule Batch Performance Differences

Assessment of In Vitro Release Testing Performance Differences


Particle morphology and particle size distribution are critical quality attributes (CQAs) important to characterize during the development of pharmaceutical products. In particular, the control of active pharmaceutical ingredient (API) particle characteristics is essential for optimizing dissolution and release performance. An understanding of the particle size distribution, shape, and spatial relationship is important for interpreting in vitro release testing differences and root causes of failure.

in vitro release testing and drug release mechanism were interpreted through critical quality attributes and particle size distribution, using DigiM's AI analysis
Hundreds of X-ray microscopy images are used to visualize the drug particle network in a capsule product. Spatial distribution of API particles was used to assess the particle uniformity within the capsule. The spatial distribution of API particles can be directly tied to in vitro release testing difference and the drug release mechanism through the formation of a dissolution network.

However, there is a striking lack of suitable approaches to investigate the size and distribution of API particles within the final product. In this project, we applied X-ray microscopy and artificial intelligence (AI) image segmentation to quantify the critical quality attributes of API particles.  Through this quantitative analysis, new mechanistic understandings of drug release mechanisms were uncovered, and the root cause of in vitro release testing differences was discovered.

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