A generalized image analytical algorithm for investigating tablet disintegration

Area of Science:

• Pharmaceutical Sciences
• Materials Science

Background:

• Traditional tablet disintegration analysis relies on subjective visual observations, leading to user-dependent results.
• Objective and reproducible methods are crucial for accurate tablet formulation development and quality control.

Purpose of the Study:

• To develop and validate a generally applicable image analytical algorithm for machine vision-based quantification of tablet disintegration.
• To establish a user-independent method for assessing tablet disintegration, overcoming limitations of visual evaluation.

Main Methods:

• Development of an image analytical algorithm for machine vision-based tablet disintegration quantification.
• Testing the algorithm with diverse tablet types: immediate release, erosion-based, and slow-release polymeric systems.
• Assessing reproducibility with commercial tablets and differentiation capability with model compacts.

Main Results:

• The developed algorithm demonstrated general applicability across different disintegration mechanisms without parameter adaptation.
• The image analytical method showed high reproducibility and could effectively differentiate various model compacts.
• The algorithm successfully mimics human decision-making in visual disintegration time evaluation.

Conclusions:

• The image analytical algorithm provides a user-independent and reproducible method for quantifying tablet disintegration.
• This approach facilitates optimal tablet formulation development and enhances understanding of excipient and manufacturing process influences on disintegration.