Scale-Up Strategy in Quality by Design Approach for Pharmaceutical Blending Process with Discrete Element Method...

Area of Science:

• Pharmaceutical Manufacturing
• Chemical Engineering
• Process Optimization

Background:

• Scaling up pharmaceutical blending processes presents challenges in maintaining product uniformity and quality.
• Traditional scale-up methods often rely on empirical data, which can be time-consuming and costly.
• Quality by Design (QbD) and Discrete Element Method (DEM) offer a systematic and predictive approach to process development and scale-up.

Purpose of the Study:

• To establish an effective scale-up strategy for amlodipine formulation blending using a combination of QbD and DEM.
• To identify critical process parameters (CPPs) and intermediate critical quality attributes (IQAs) for the blending process.
• To validate the DEM model's efficacy and reliability for predicting scale-up performance.

Main Methods:

• A QbD approach involving risk assessment (RA) was used to identify CPPs and IQAs.
• A Box-Behnken design determined the laboratory-scale operating space.
• A DEM model was developed and validated against experimental results for a 3 L V-blender.
• The validated DEM model was used to simulate and evaluate the scale-up to a 10 L pilot-scale blender.

Main Results:

• The DEM model accurately predicted blending performance, validating its efficacy and reliability.
• Simulations indicated that optimal blending time decreases upon scale-up from laboratory to pilot scale.
• The study confirmed that the operating space requires adjustment during the scale-up process.
• Both V-blender and double-cone blender simulations at pilot scale suggested reduced blending times.

Conclusions:

• A QbD-integrated DEM simulation approach is a valuable tool for effective pharmaceutical process scale-up.
• This methodology allows for the prediction and optimization of blending parameters during scale-up, ensuring consistent product quality.
• The findings demonstrate the utility of QbD and DEM in defining and adapting operating spaces for successful manufacturing scale-up.