Quality-by-Design II: Application of Quantitative Risk Analysis to the Formulation of Ciprofloxacin Tablets

Area of Science:

• Pharmaceutical Science
• Risk Management
• Statistical Modeling

Background:

• Qualitative risk assessment is standard for initial design space boundary determination.
• Quantitative risk assessment is crucial for fully characterizing design space boundaries by calculating failure probabilities.
• Previous work utilized Failure Mode and Effects Analysis (FMEA) and Plackett-Burman designs to identify critical quality attributes.

Purpose of the Study:

• To demonstrate a simplified strategy for design space definition.
• To utilize a simplified Bayesian Monte Carlo simulation for quantitative risk assessment.
• To integrate qualitative and quantitative risk assessment for robust design space definition.

Main Methods:

• Employed a simplified Bayesian Monte Carlo simulation.
• Built upon prior qualitative risk assessment (FMEA) and design of experiments.
• Sequentially applied qualitative and quantitative risk assessment methods.

Main Results:

• The sequential approach effectively focused design of experiments on critical parameters.
• Identified a reduced set of critical material and process parameters for a robust design space.
• Enabled calculation of risk associated with each parameter under limited experimentation.

Conclusions:

• The sequential use of qualitative and quantitative risk assessments is a viable strategy for defining robust design spaces.
• This method aids in managing risk to acceptable levels by allocating resources effectively.
• Facilitates a comprehensive understanding of design space boundaries with limited laboratory data.