Process simulation in the pharmaceutical industry: a review of some basic physical models.

Area of Science:

• Pharmaceutical Science
• Chemical Engineering
• Process Systems Engineering

Background:

• Process modeling is crucial for understanding and optimizing pharmaceutical manufacturing.
• Diverse physical processes in drug production require varied modeling approaches.
• Existing models operate across a wide range of length and time scales.

Purpose of the Study:

• To review process modeling techniques applied to pharmaceutical manufacturing and delivery.
• To discuss the application of both continuum and discrete models.
• To identify challenges and future research directions in pharmaceutical process modeling.

Main Methods:

• Literature review of process modeling studies in the pharmaceutical industry.
• Categorization of models based on scale: continuum (large-scale) and discrete (particle-scale).
• Analysis of challenges and opportunities for practical implementation and future research.

Main Results:

• Process models are widely applied across various pharmaceutical manufacturing stages.
• Both continuum and discrete modeling approaches are essential for different phenomena.
• Significant challenges exist in the practical application of these models.

Conclusions:

• Process modeling is a vital tool for pharmaceutical development and manufacturing.
• Further research is needed to overcome implementation challenges and advance modeling capabilities.
• Future work should focus on integrating different scales and improving model validation.