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LyoPRONTO: an Open-Source Lyophilization Process Optimization Tool.

Gayathri Shivkumar1, Petr S Kazarin1, Andrew D Strongrich1

  • 1School of Aeronautics and Astronautics, Purdue University, 701 W. Stadium Ave., West Lafayette, IN, 47907, USA.

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Summary
This summary is machine-generated.

LyoPRONTO is a new, free tool for lyophilization (freeze-drying) simulation and optimization. It significantly reduces primary drying time, cutting operational costs and advancing freeze-dryer technology.

Keywords:
Freeze-dryingFreezing modelHeat and mass transferLyophilizationProcess optimizationQuality by design (QBD)

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Area of Science:

  • Pharmaceutical Sciences
  • Chemical Engineering
  • Biotechnology

Background:

  • Lyophilization is a critical process for stabilizing pharmaceuticals and biologics.
  • Optimizing lyophilization cycles is essential for reducing costs and ensuring product stability.
  • Existing simulation tools can be complex and lack integrated optimization capabilities.

Purpose of the Study:

  • To introduce LyoPRONTO, a user-friendly software tool for lyophilization simulation and process optimization.
  • To validate the accuracy of LyoPRONTO's freezing and primary drying calculations against experimental data.
  • To demonstrate the effectiveness of LyoPRONTO's optimization module in reducing primary drying times.

Main Methods:

  • Development of LyoPRONTO, incorporating 0D lumped capacitance modeling for freezing and 1D heat and mass transfer analysis for primary drying.
  • Implementation of a design-space generator and a primary drying optimizer that accounts for time-varying product resistance.
  • Validation of simulation accuracy using experimental measurements for product temperature and drying time.

Main Results:

  • The freezing calculator showed good agreement with experimental temperature variations.
  • The primary drying calculator predicted drying times with an average deviation of 3% from experimental results.
  • Optimized cycles using LyoPRONTO resulted in 62% faster primary drying for 5% mannitol and 50% for 5% sucrose solutions compared to typical conditions.

Conclusions:

  • LyoPRONTO provides accurate simulations and effective optimization for lyophilization processes.
  • The tool can significantly reduce primary drying times and operational costs.
  • LyoPRONTO contributes to the development of advanced, potentially automated, freeze-dryer systems.