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Leveraging Lyophilization Modeling for Reliable Development, Scale-up and Technology Transfer.

Deliang Zhou1, Sherwin Shang2, Ted Tharp2

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Summary

This study introduces a faster method to determine key parameters for lyophilization modeling. The new approach simplifies process optimization and scale-up for pharmaceutical manufacturing.

Keywords:
cake resistancefreeze-dryinglyophilizationlyophilization modelingscale-uptechnology transfervial heat transfer coefficient

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Area of Science:

  • Pharmaceutical Engineering
  • Chemical Engineering
  • Process Analytical Technology

Background:

  • Lyophilization (freeze-drying) modeling aids process optimization and scale-up.
  • Steady-state models require critical parameters: vial heat transfer coefficient (Kv) and cake resistance (Rp).
  • Traditional Kv measurement (gravimetric method) is time-consuming and costly.

Purpose of the Study:

  • To develop a novel, direct method for extracting Kv and Rp from experimental data.
  • To validate the new methodology using a mannitol model system.
  • To demonstrate the application of the new approach in process scale-up and technology transfer.

Main Methods:

  • Utilized steady-state heat and mass transfer principles.
  • Extracted Kv and Rp directly from experimental temperature and Pirani profiles.
  • Validated results against the classical gravimetric method for Kv.

Main Results:

  • Successfully extracted Kv and Rp directly from experimental data.
  • Obtained Kv values comparable to those from the gravimetric method.
  • Demonstrated the utility of the approach for process scale-up and technology transfer via a case study.

Conclusions:

  • The proposed method offers a simplified and reliable approach for lyophilization model parameterization.
  • This technique enhances the utility of steady-state modeling for optimizing lyophilization processes.
  • It is particularly beneficial for transferring products from laboratory to commercial manufacturing scales.