Drug Shelf Life and Release Limits Estimation Based on Manufacturing Process Capability.

Area of Science:

• Pharmaceutical Sciences
• Drug Stability
• Quality Control

Background:

• Specification limits are set by regulatory agencies, while release limits are internal manufacturer specifications.
• Ensuring drug quality attributes remain within limits until expiration is critical for patient safety.
• Current methods for shelf-life determination can be refined by integrating manufacturing process capacity and degradation kinetics.

Purpose of the Study:

• To propose and validate a novel method for establishing drug shelf life.
• To integrate drug manufacturing process capacity and degradation rate into shelf-life estimation.
• To ensure that drug products meet quality standards throughout their intended shelf life.

Main Methods:

• A modified version of the Allen et al. (1991) method was employed.
• Analytical method validation was performed to determine insulin concentration and estimate specification limits.
• Stability data from six human insulin batches were analyzed, divided into groups for shelf-life estimation and release limit testing.
• The ASTM E2709-12 approach was used to verify future batch compliance.
• The entire procedure was implemented using R-code.

Main Results:

• The study successfully developed and implemented a method for setting shelf life based on process capacity and degradation.
• Specification limits were estimated using analytical method validation data for insulin concentration.
• Stability data analysis allowed for the estimation of shelf life and testing of the lower release limit (LRL).
• The ASTM E2709-12 standard provided a framework for verifying batch release criteria.

Conclusions:

• The proposed method offers a robust approach to determining shelf life by considering manufacturing process capabilities.
• This method enhances the assurance of drug quality and stability until the expiry date.
• The R-code implementation facilitates the practical application of this shelf-life determination strategy.