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March 10, 2026AAPS Open0 citationsOpen Access

From laboratory to production: a journey of GMP implementation for controlled ice nucleation in Amgen’s manufacturing network

WBWisam Al BakriAGArnab GangulyBEBrigid Ehrlich

Key Points

  • The research aims to implement controlled ice nucleation in Amgen's manufacturing processes to improve lyophilization efficiency and reduce variability.
  • Described the engineering retrofits and control system integration for production freeze dryers.
  • Conducted comparative analyses of laboratory and production-scale runs.
  • Applied in-silico heat and mass transfer modeling to predict drying temperatures.
  • Refined automated visual inspection recipes for CIN lyophilized products.
  • Demonstrated consistent cooling rates with negligible differences between scales.
  • Achieved lower resistance ratios in production-scale compared to lab-scale.
  • Production-scale CIN cycles showed faster sublimation rates with higher Pirani slopes.
  • Primary and secondary drying phases had equivalent durations, highlighting optimization needs.

Abstract

Abstract Controlled ice nucleation (CIN) offers a transformational approach to pharmaceutical lyophilization by inducing simultaneous nucleation at a predetermined temperature, thereby reducing cake resistance (Rp) and intra-batch variability. In this work, Amgen’s network-wide implementation of ice-fog CIN across production freeze dryers (shelf area 10–42 m²) is described, encompassing engineering retrofits, control system integration, and commissioning/qualification strategies. Comparative analyses of laboratory-scale (shelf area 0.74 m²) and production-scale runs demonstrated consistent post-nucleation cooling rates (≤ 1 °C/hr difference) and Rp ratios (laboratory/production) of 1.2–1.6 for the tested formulations and vials size, indicating lower Rp at production-scale. In-silico heat and mass transfer modeling, parameterized with laboratory data, accurately predicted primary drying temperatures within 1.5 °C of measurements. Production-scale CIN cycles exhibited higher Pirani slopes (≈ 1.62 µbar/hr vs. ≈0.62 µbar/hr in non-CIN), reflecting faster and more uniform sublimation. In CIN cycles, primary and secondary drying phases were of similar duration, emphasizing the need to optimize secondary drying conditions. Finally, Automated visual inspection (AVI) recipes were refined for CIN lyophilized drug product using an offline AVI station, enabling rapid baseline recipe development. Overall, this represents the largest GMP deployment of CIN to date, demonstrating enhanced process robustness, cycle efficiency, scalability, and providing a practical framework for wider adoption. Graphical Abstract

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Cite This Study

Bakri et al. (2026) studied this question.

synapsesocial.com/papers/69af95cf70916d39fea4dd87https://doi.org/10.1186/s41120-026-00145-7
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Kinetics of the homogeneous freezing of water2010 · 284 citations
  2. 2Influence of controlled ice nucleation on the freeze-drying of pharmaceutical products: the secondary drying step2017 · 69 citations
  3. 3Advanced Process Analytical Technology in Combination with Process Modeling for Endpoint and Model Parameter Determination in Lyophilization Process Design and Optimization2021 · 22 citations
  4. 4The ice nucleation temperature determines the primary drying rate of lyophilization for samples frozen on a temperature‐controlled shelf2001 · 399 citations
  5. 5Freezing, Biopharmaceutical Products2010 · 7 citations