Dokument: Loss-on-Drying Prediction for a Vibrated Fluidised Bed Dryer by Means of Mass and Energy Balances
Titel: | Loss-on-Drying Prediction for a Vibrated Fluidised Bed Dryer by Means of Mass and Energy Balances | |||||||
URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=68935 | |||||||
URN (NBN): | urn:nbn:de:hbz:061-20250307-095941-4 | |||||||
Kollektion: | Publikationen | |||||||
Sprache: | Englisch | |||||||
Dokumententyp: | Wissenschaftliche Texte » Artikel, Aufsatz | |||||||
Medientyp: | Text | |||||||
Autoren: | Kiricenko, Katharina [Autor] Hartmann, Felix [Autor] Altmeyer, Andreas [Autor] Kleinebudde, Peter [Autor] | |||||||
Dateien: |
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Stichwörter: | Mass balance, Continuous manufacturing, Vibrated fluidised bed dryer, Energy balance, Process monitoring, LOD prediction | |||||||
Beschreibung: | Purpose
Continuous wet granulation and drying require an adequate process control strategy to ensure the product quality. The most important critical quality attributes of dried granules are the granule size distribution and moisture content. Process analytical technologies (PATs) are available for real-time monitoring of moisture content by, e.g., near-infrared spectroscopy (NIRS), which requires additional installation and complex multivariate validation. Thus, a mass and energy balance (MEB) was derived for a vibrated fluidised bed dryer, which is part of the QbCon® 1 intended for continuous wet granulation and drying. Method Process parameters that are frequently logged were used for the derivation of a MEB. The predicted MEB was compared with the measured loss-on-drying (LOD) for two different formulations. Results The model-derived data were in good agreement with the observed LOD, leading to RMSE values of 0.12–0.45. Conclusion The implemented MEB can predict the LOD over time and thus might be suitable as a soft sensor without the installation of additional sensors. The obtained energy flux gives insight into the heat transfer, and the derived energy balance might be used to determine the required energy under certain drying conditions. | |||||||
Rechtliche Vermerke: | Originalveröffentlichung:
Kiricenko, K., Hartmann, F., Altmeyer, A., & Kleinebudde, P. (2023). Loss-on-Drying Prediction for a Vibrated Fluidised Bed Dryer by Means of Mass and Energy Balances. Journal of Pharmaceutical Innovation, 18(4), 2429–2446. https://doi.org/10.1007/s12247-023-09802-w | |||||||
Lizenz: | ![]() Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz | |||||||
Fachbereich / Einrichtung: | Mathematisch- Naturwissenschaftliche Fakultät | |||||||
Dokument erstellt am: | 07.03.2025 | |||||||
Dateien geändert am: | 07.03.2025 |