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EnglishA new Process Analytical Technology (PAT) has been developed and tested for on-line process monitoring of a vacuum freeze-drying process. The sensor uses an infrared camera to obtain thermal images of the ongoing process and multivariate image analysis (MIA) to extract the information. A reference model was built and different kind of anomalous events were simulated to test the capacity of the system to promptly identify them. Two different data structures and two different algorithms for the imputation of the missing information have been tested and compared. The results show that the MIA-based PAT system is able to efficiently detect on-line undesired events occurring during the vacuum freeze-drying process.
Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials / Colucci, D.; Prats-Montalbán, J. M.; Fissore, D.; Ferrer, A.. - In: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. - ISSN 0169-7439. - STAMPA. - 189(2019), pp. 19-27.
| Titolo: | Application of multivariate image analysis for on-line monitoring of a freeze-drying process for pharmaceutical products in vials |
| Autori: | |
| Data di pubblicazione: | 2019 |
| Rivista: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.chemolab.2019.02.004 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 86.CILS_2019_vol187.pdf | versione editoriale | 2a Post-print versione editoriale / Version of Record | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
| 86.CILS_2019_vol187.pdf | 2. Post-print / Author's Accepted Manuscript |  | Embargo: 13/02/2021 Richiedi una copia |
http://hdl.handle.net/11583/2725541
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