Development of a fluid bed granulation design space using critical quality attribute weighted tolerance intervals

Area of Science:

• Chemical Engineering
• Pharmaceutical Manufacturing
• Process Control

Background:

• Fluid bed granulation and drying are critical unit operations in pharmaceutical manufacturing.
• Implementing advanced control systems is essential for ensuring consistent product quality.
• Variability in material properties and process parameters can impact final product attributes.

Purpose of the Study:

• To demonstrate the control of blending, granulation, drying, and cooling phases using a hybrid control system.
• To develop a rigorous design space by integrating formulation and process factors.
• To reduce the risk of future product failure through enhanced process understanding.

Main Methods:

• Utilized a fully automated, hybrid control system integrating first-principle modeling, Design of Experiments (DOE), and Process Analytical Technology (PAT).
• Employed DOE with excipients (microcrystalline cellulose, lactose monohydrate) exhibiting different wetting properties.
• Applied an extended analysis of covariance model to analyze factors and interactions.

Main Results:

• Successfully demonstrated automated control over all phases of the fluid bed granulation and drying process.
• Established a tolerance surface within the design space, significantly reducing the risk of product failure.
• Elucidated the relationship between critical process parameters and material properties.

Conclusions:

• A tolerance interval-based weighted design space enhances product understanding and assures future product quality.
• Hybrid control systems integrating modeling, DOE, and PAT are effective for complex unit operations.
• This approach provides a robust framework for pharmaceutical process development and quality assurance.