A NIR-Based Study of Desorption Kinetics during Continuous Spin Freeze-Drying Article Swipe
Laurens Leys
,
Gust Nuytten
,
Joris Lammens
,
Pieter-Jan Van Bockstal
,
Jos Corver
,
Chris Vervaet
,
Thomas De Beer
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/pharmaceutics13122168
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/pharmaceutics13122168
The pharmaceutical industry is progressing toward the development of more continuous manufacturing techniques. At the same time, the industry is striving toward more process understanding and improved process control, which requires the implementation of process analytical technology tools (PAT). For the purpose of drying biopharmaceuticals, a continuous spin freeze-drying technology for unit doses was developed, which is based on creating thin layers of product by spinning the solution during the freezing step. Drying is performed under vacuum using infrared heaters to provide energy for the sublimation process. This approach reduces drying times by more than 90% compared to conventional batch freeze-drying. In this work, a new methodology is presented using near-infrared (NIR) spectroscopy to study the desorption kinetics during the secondary drying step of the continuous spin freeze-drying process. An inline PLS-based NIR calibration model to predict the residual moisture content of a standard formulation (i.e., 10% sucrose) was constructed and validated. This model was then used to evaluate the effect of different process parameters on the desorption rate. Product temperature, which was controlled by a PID feedback mechanism of the IR heaters, had the highest positive impact on the drying rate during secondary drying. Using a higher cooling rate during spin freezing was found to significantly increase the desorption rate as well. A higher filling volume had a smaller negative effect on the drying rate while the chamber pressure during drying was found to have no significant effect in the range between 10 and 30 Pa.
Related Topics
Concepts
Desorption
Freeze-drying
Sublimation (psychology)
Process analytical technology
Chemistry
Kinetics
Spinning
Analytical Chemistry (journal)
Materials science
Process engineering
Chromatography
Chemical engineering
Composite material
Adsorption
Organic chemistry
Bioprocess
Engineering
Psychotherapist
Physics
Quantum mechanics
Psychology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/pharmaceutics13122168
- https://www.mdpi.com/1999-4923/13/12/2168/pdf?version=1639707379
- OA Status
- gold
- Cited By
- 7
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4200492922
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4200492922Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/pharmaceutics13122168Digital Object Identifier
- Title
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A NIR-Based Study of Desorption Kinetics during Continuous Spin Freeze-DryingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-12-16Full publication date if available
- Authors
-
Laurens Leys, Gust Nuytten, Joris Lammens, Pieter-Jan Van Bockstal, Jos Corver, Chris Vervaet, Thomas De BeerList of authors in order
- Landing page
-
https://doi.org/10.3390/pharmaceutics13122168Publisher landing page
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https://www.mdpi.com/1999-4923/13/12/2168/pdf?version=1639707379Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1999-4923/13/12/2168/pdf?version=1639707379Direct OA link when available
- Concepts
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Desorption, Freeze-drying, Sublimation (psychology), Process analytical technology, Chemistry, Kinetics, Spinning, Analytical Chemistry (journal), Materials science, Process engineering, Chromatography, Chemical engineering, Composite material, Adsorption, Organic chemistry, Bioprocess, Engineering, Psychotherapist, Physics, Quantum mechanics, PsychologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
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2024: 3, 2023: 4Per-year citation counts (last 5 years)
- References (count)
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25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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