Optimization of Methodologies to Study Freeze/Thaw Processes in Drug Substance Bottles

• Published in: Methods and protocols Vol. 7; no. 5; p. 68
• Main Authors: Peláez, Sarah S, Mahler, Hanns-Christian, Huwyler, Jörg, Allmendinger, Andrea
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 04-09-2024; MDPI
• Subjects: Backup software; Cameras; Case studies; concentration gradient; drug substance; Freezing; Geometry; liquid sampling; Methods; Shelf life; temperature mapping; Thawing; Germany; United States > US; Switzerland; liquid sampling; thawing; drug substance bottles; freezing; thawing time; drug substance; concentration gradient; temperature mapping; process characterization; last point to freeze
• ISSN: 2409-9279; 2409-9279
• DOI: 10.3390/mps7050068

Biological drug substance (DS) is often frozen to enhance storage stability, prolong shelf life, and increase flexibility during manufacturing. However, the freezing and thawing (F/T) of bulk DS at the manufacturing scale can impact product quality as a result of various critical conditions, including cryo-concentration during freezing, which are influenced, among other things, by product-independent process parameters (e.g., container type, fill level, F/T equipment, and protocols). In this article, we report the optimization of two major methodologies to study product-independent process parameters in DS bottles at the manufacturing scale, namely the recording of temperature profiles and liquid sampling after thawing to quantify the concentration gradients in the solution. We report experimentally justified measuring positions for temperature recordings, especially for the selection of the last point to freeze position, and highlight the implementation of camera-assisted inspection to determine the last point to thaw and the actual thawing time. In particular, we provide, for the first time, a detailed description of the technical implementation of these two measuring set-ups. Based on the reported case studies, we recommend choosing relevant measuring positions as a result of initial equipment characterization, resulting in a resource-conscious study set-up.