30 May 2022 to 2 June 2022
Asia/Dubai timezone

Use of advanced imaging techniques as a valuable tool to analyze the freeze-drying process in more detail in situ

31 May 2022, 14:35
15m
Oral Presentation (MS10) Advances in imaging porous media: techniques, software and case studies MS10

Speaker

Sebastian Gruber (Technical University of Munich, Chair of Process Sytsems Engineering)

Description

Lyophilization or freeze-drying is commonly applied to stabilize (bio-)pharmaceutical substances and high value foods for long-term storage. The freeze-drying cycle typically consists of three stages: i: freezing ii: primary drying and iii: secondary drying [1]. The freezing step is the most crucial one because the performance of the overall process vastly depends on the freezing step. Since the freezing parameters fixes the morphological structure of the dried material, they directly influence the pore size distribution and the connectivity of the porous matrix. Hence, it affects the heat and mass transfer trough the dried cake, which effects the drying rates of both, the primary and secondary drying stages [1,2].
While the influence of pore size on the freeze-drying process is already known, surprisingly other structural parameters like pore orientation or shape is still not sufficiently investigated. Next to the microstructure, process design as well as critical properties of the formulation are important. Drying above critical parameters can lead to changes in microstructure and thus, directly influence the overall drying process and product quality [3].
In this study we will present the influence of the pore structure on the overall drying kinetics and how the pore structure will change during drying. This investigation is carried out in a lyomicroscope. Furthermore, for the first time our self-developed freeze-drying stage [3,4] inside a 4D µ-CT (DynaTOM, TESCAN) to observe structural changes in 3D with a high temporal resolution in-situ is used. Here, maltodextrin and sucrose solutions with different solid concentrations (c = 0.05 w/w, c = 0.2 w/w and c = 0.3 w/w) were used as model substances. In order to estimate the structural changes during the drying process, an in-house image processing code is applied to analyze microstructural parameters like pore size, orientation and shape. The change in the morphological structure at the different drying stages is discussed. The experimental data will further be transformed into irregular pore networks and used for further modelling of drying. The results will lead to guidelines for a faster freeze-drying process with high product quality.

References

[1] Aurélie Hottot, Séverine Vessot, and Julien Andrieu. 2004. A Direct Characterization Method of the Ice Morphology. Relationship Between Mean Crystals Size and Primary Drying Times of Freeze-Drying Processes. Drying Technology 22, 8, 2009–2021. DOI: https://doi.org/10.1081/DRT-200032717.
[2] J. A. Searles, J. F. Carpenter, and T. W. Randolph. 2001. The ice nucleation temperature determines the primary drying rate of lyophilization for samples frozen on a temperature-controlled shelf. Journal of pharmaceutical sciences 90, 7, 860–871. DOI: https://doi.org/10.1002/jps.1039.
[3] Sebastian Gruber, Nicole Vorhauer-Huget and Petra Foerst. 2021. In situ micro-computed tomography to study microstructure and sublimation front during freeze-drying. Food Structure 29, DOI: https://doi.org/10.1016/j.foostr.2021.100213
[4] Mathias Hilmer, Sebastian Gruber, and Petra Foerst. 2020. Development of a Freeze-Drying Stage for In-Situ μ-CT Measurements. Processes 8, 7, 869. DOI: https://doi.org/10.3390/pr8070869.

Participation In person
Country Germany
MDPI Energies Student Poster Award Yes, I would like to submit this presentation into the student poster award.
Time Block Preference Time Block B (14:00-17:00 CET)
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Primary author

Sebastian Gruber (Technical University of Munich, Chair of Process Sytsems Engineering)

Co-authors

Maximilian Thomik (Otto-von-Guericke University, Magdeburg) Dr Nicole Vorhauer-Huget (Otto-von-Guericke University, Magdeburg) Mr Frederik Coppens (TESCAN XRE, Belgium) Prof. Evangelos Tsotsas (Otto-von-Guericke University, Magdeburg) Prof. Petra Först (Technical University of Munich, Chair of Process Sytsems Engineering)

Presentation materials