Journal
JOURNAL OF PHARMACEUTICAL SCIENCES
Volume 108, Issue 1, Pages 416-430Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.xphs.2018.07.031
Keywords
freeze drying/lyophilization; process analytical technology (PAT); mathematical model; simulation
Funding
- National Institutes of Health National Cancer Institute (NIH/NCI) [HHSN261200900023C]
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The aim of this research was to evaluate the impact of variability in ice sublimation rate (dm/dt) measurement and vial heat transfer coefficient (K-v) on product temperature prediction during the primary drying phase of lyophilization. The mathematical model used for primary drying uses dm/dt and K-v as inputs to predict product temperature. A second-generation tunable diode laser absorption spectroscopy (TDLAS)-based sensor was used to measure dm/dt. In addition, a new approach to calculate drying heterogeneity in a batch during primary drying is described. The TDLAS dm/dt measurements were found to be within 5%-10% of gravimetric measurement for laboratory- and pilot-scale lyophilizers. Intersupplier variability in K-v was high for the same type of vials, which can lead to erroneous product temperature prediction if one value of vial heat transfer coefficient is used for all vial types from different suppliers. Studies conducted in both a laboratory- and a pilot-scale lyophilizer showed TDLAS product temperature to be within +/- 1 degrees C of average thermocouple temperature during primary drying. Using TDLAS data and calculations to estimate drying heterogeneity (number of vials undergoing primary drying), good agreement was obtained between theoretical and experimental results, demonstrating usefulness of the new approach. (C) 2019 Published by Elsevier Inc. on behalf of the American Pharmacists Association.
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