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Mechanical Characterization of Vial Strain During Freezing and Thawing Operations Using Amorphous Excipients
Andrew Strongrich1, Ian Flynn1, Bakul Bhatnagar2
1Department of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA.
Pharmaceutical formulation strains during freezing were measured using wireless sensors. Strains peaked near the glass transition temperature (Tg'), indicating formulation changes that could impact vial integrity and process design.
Area of Science:
- Pharmaceutical Sciences
- Materials Science
- Chemical Engineering
Background:
- Pharmaceutical vials experience mechanical stresses during freeze-drying.
- Understanding these stresses is crucial for preventing vial breakage and maintaining formulation stability.
- Excipient crystallization is a known risk factor for primary packaging damage.
Purpose of the Study:
- To investigate mechanical stresses and strains on pharmaceutical glass vials during freezing and thawing.
- To correlate strain behavior with formulation properties and temperature transitions.
- To explore the utility of strain measurements in formulation design and process analytical technology.
Main Methods:
- Utilized a custom wireless sensor for in-situ strain measurements within a laboratory-scale freeze-dryer.
- Tested model pharmaceutical formulations (sucrose and trehalose) at various concentrations (5-20% w/v).
- Monitored strain output in relation to temperature, particularly near the glass transition temperature (Tg') and ice melting points.
Main Results:
- Strain measurements peaked near the glass transition temperature (Tg') for formulations between 5-20% w/v.
- Below 5% w/v, strain showed two peaks: one near ice melting and another near Tg'.
- Maximum strain magnitude was observed at concentrations between 4-5% w/v where the two peaks merged.
Conclusions:
- Strain behavior is linked to the transition from elastic to viscoelastic properties of the frozen matrix around Tg'.
- Strain measurements offer insights into formulation behavior and potential mechanical risks.
- Strain data may be valuable for optimizing formulation design and implementing process analytical technology to mitigate stresses.
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