Non-contact monitoring of the freeze-drying process of microparticles using microwave resonance spectroscopy.
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| Title: | Non-contact monitoring of the freeze-drying process of microparticles using microwave resonance spectroscopy. |
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| Authors: | Nakagawa, Kyuya1 (AUTHOR) kyuya@cheme.kyoto-u.ac.jp, Baba, Kazuki1 (AUTHOR), Nakamura, Mihiro1 (AUTHOR), Kono, Shinji2 (AUTHOR) |
| Source: | Drying Technology. 2024, Vol. 42 Issue 7, p1199-1207. 9p. |
| Subjects: | Freeze-drying, Microwave spectroscopy, Multiple regression analysis, Mannitol, Frequency spectra |
| Abstract: | Spray freeze-drying has emerged as a promising alternative to conventional vial freeze-drying. In this study, we have developed a non-contact monitoring technique for the freeze-drying of microparticles utilizing microwave resonance spectroscopy. Spectral changes, indicative of the degree of drying, were successfully captured during the freeze-drying process of particulate samples ranging in size from approximately 0.6–3.5 mm. The observed spectral patterns demonstrated significant dependence on both the mean particle size and the formulation type (mannitol or sucrose). The partial least squares method was employed to extract data series strongly correlated with the drying progress. Multiple regression analysis was then utilized to derive regression equations, yielding values representing the drying progress based on the intensity values at selected frequencies within the spectra. The resulting regression equations accurately replicated the experimentally estimated drying kinetics. Notably, a robust regression equation was obtained, demonstrating applicability to various formulations and particle sizes, with coefficient of determination values ranging from 0.95 to 0.99. Furthermore, it was suggested that a correlation between the obtained spectra and the change in moisture content during secondary drying. Microwave resonance spectroscopy proves to be a versatile technique for monitoring freeze-drying processes, offering insights that can enhance the efficiency and adaptability of this critical pharmaceutical manufacturing step. [ABSTRACT FROM AUTHOR] |
| Copyright of Drying Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 177561524 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Non-contact monitoring of the freeze-drying process of microparticles using microwave resonance spectroscopy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nakagawa%2C+Kyuya%22">Nakagawa, Kyuya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kyuya@cheme.kyoto-u.ac.jp</i><br /><searchLink fieldCode="AR" term="%22Baba%2C+Kazuki%22">Baba, Kazuki</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nakamura%2C+Mihiro%22">Nakamura, Mihiro</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kono%2C+Shinji%22">Kono, Shinji</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Drying+Technology%22">Drying Technology</searchLink>. 2024, Vol. 42 Issue 7, p1199-1207. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Freeze-drying%22">Freeze-drying</searchLink><br /><searchLink fieldCode="DE" term="%22Microwave+spectroscopy%22">Microwave spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mannitol%22">Mannitol</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency+spectra%22">Frequency spectra</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Spray freeze-drying has emerged as a promising alternative to conventional vial freeze-drying. In this study, we have developed a non-contact monitoring technique for the freeze-drying of microparticles utilizing microwave resonance spectroscopy. Spectral changes, indicative of the degree of drying, were successfully captured during the freeze-drying process of particulate samples ranging in size from approximately 0.6–3.5 mm. The observed spectral patterns demonstrated significant dependence on both the mean particle size and the formulation type (mannitol or sucrose). The partial least squares method was employed to extract data series strongly correlated with the drying progress. Multiple regression analysis was then utilized to derive regression equations, yielding values representing the drying progress based on the intensity values at selected frequencies within the spectra. The resulting regression equations accurately replicated the experimentally estimated drying kinetics. Notably, a robust regression equation was obtained, demonstrating applicability to various formulations and particle sizes, with coefficient of determination values ranging from 0.95 to 0.99. Furthermore, it was suggested that a correlation between the obtained spectra and the change in moisture content during secondary drying. Microwave resonance spectroscopy proves to be a versatile technique for monitoring freeze-drying processes, offering insights that can enhance the efficiency and adaptability of this critical pharmaceutical manufacturing step. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Drying Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/07373937.2024.2308608 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1199 Subjects: – SubjectFull: Freeze-drying Type: general – SubjectFull: Microwave spectroscopy Type: general – SubjectFull: Multiple regression analysis Type: general – SubjectFull: Mannitol Type: general – SubjectFull: Frequency spectra Type: general Titles: – TitleFull: Non-contact monitoring of the freeze-drying process of microparticles using microwave resonance spectroscopy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nakagawa, Kyuya – PersonEntity: Name: NameFull: Baba, Kazuki – PersonEntity: Name: NameFull: Nakamura, Mihiro – PersonEntity: Name: NameFull: Kono, Shinji IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 07373937 Numbering: – Type: volume Value: 42 – Type: issue Value: 7 Titles: – TitleFull: Drying Technology Type: main |
| ResultId | 1 |
