First-Principles and Empirical Approaches to Predicting In Vitro Dissolution for Pharmaceutical Formulation and...

Area of Science:

• Pharmaceutical Sciences
• Chemical Engineering
• Drug Delivery Systems

Background:

• In vitro dissolution testing is crucial for drug product performance.
• Advancements in modeling offer enhanced prediction capabilities.
• Industry consortia (IQ, AAPS) highlight the need for standardized approaches.

Purpose of the Study:

• To showcase progress in in vitro predictive dissolution modeling.
• To recommend general strategies for developing predictive dissolution models.
• To support early- and late-stage pharmaceutical development and batch release.

Main Methods:

• Utilized perspectives from the IQ Dissolution Working Group and AAPS focus groups (PAT, IVRDT).
• Reviewed industry case studies on tablet dissolution modeling.
• Examined approaches for real-time release testing (RTRt) using dissolution models and near-infrared spectroscopy (NIRS).

Main Results:

• Demonstrated the application of different modeling approaches across various drug development stages.
• Presented industry examples of dissolution models in product development and regulatory filings.
• Showcased data-rich empirical models for predicting in vitro dissolution using science- and risk-based development.

Conclusions:

• Dissolution modeling is essential for enhanced product understanding and robust control strategies.
• Recommended best practices for developing predictive dissolution models, particularly for immediate-release oral products.
• A roadmap is provided for implementing dissolution modeling to improve batch release and facilitate post-approval changes.