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Optimization of Methodologies to Study Freeze/Thaw Processes in Drug Substance Bottles
Sarah S Peláez1,2, Hanns-Christian Mahler1,3, Jörg Huwyler3
1ten23 Health AG, Mattenstrasse 22, 4058 Basel, Switzerland.
Optimizing freezing and thawing (F/T) processes for biological drug substances (DS) involves understanding product-independent parameters. This study details methods for temperature profiling and liquid sampling to control cryo-concentration and ensure product quality during large-scale manufacturing.
Area of Science:
- Biopharmaceutical manufacturing
- Process engineering
- Drug substance stability
Background:
- Biological drug substance (DS) freezing enhances stability and manufacturing flexibility.
- Freezing and thawing (F/T) at manufacturing scale can impact DS quality due to cryo-concentration.
- Product-independent process parameters significantly influence F/T outcomes.
Purpose of the Study:
- To optimize methodologies for studying product-independent process parameters in bulk DS bottles.
- To establish reliable methods for monitoring temperature profiles and concentration gradients during F/T.
- To provide technical details for implementing these measurement techniques at manufacturing scale.
Main Methods:
- Development and optimization of temperature profile recording during DS freezing and thawing.
- Implementation of liquid sampling post-thaw to quantify concentration gradients.
- Utilizing camera-assisted inspection to identify last freeze and thaw points and actual thawing duration.
Main Results:
- Experimentally justified measurement positions for temperature recordings, including the last point to freeze.
- Successful implementation of camera-assisted inspection for thaw dynamics.
- Detailed technical descriptions of the optimized measurement setups.
Conclusions:
- Optimized methodologies enable better understanding and control of F/T processes for DS.
- Characterization of equipment and selection of appropriate measurement points are crucial for resource-conscious studies.
- These methods contribute to ensuring DS quality and process robustness during large-scale manufacturing.
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