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Modelling the primary drying step for the determination of the optimal dynamic heating pad temperature in a continuous pharmaceutical freeze-drying process for unit doses.
De Meyer, Laurens; Lammens, Joris; Mortier, Séverine Thérèse F C; Vanbillemont, Brecht; Van Bockstal, Pieter Jan; Corver, Jos; Nopens, Ingmar; Vervaet, Chris; De Beer, Thomas.
Afiliación
  • De Meyer L; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium. Electronic address: Laurens.DeMeyer@UGent.be.
  • Lammens J; Laboratory of Pharmaceutical Technology, Department of Pharmaceutics, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium. Electronic address: Joris.Lammens@UGent.be.
  • Mortier STFC; BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Ghent, Belgium; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Faculty of Pharmaceutical Scie
  • Vanbillemont B; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium. Electronic address: Brecht.Vanbillemont@UGent.be.
  • Van Bockstal PJ; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium. Electronic address: pieterjan.vanbockstal@ugent.be.
  • Corver J; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium. Electronic address: Jos.Corver@RheaVita.nl.
  • Nopens I; BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Ghent, Belgium. Electronic address: Ingmar.Nopens@UGent.be.
  • Vervaet C; Laboratory of Pharmaceutical Technology, Department of Pharmaceutics, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium. Electronic address: Chris.Vervaet@UGent.be.
  • De Beer T; Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium. Electronic address: Thomas.DeBeer@UGent.be.
Int J Pharm ; 532(1): 185-193, 2017 Oct 30.
Article en En | MEDLINE | ID: mdl-28887221
ABSTRACT
In the pharmaceutical industry, traditional freeze-drying of unit doses is a batch-wise process associated with many disadvantages. To overcome these disadvantages and to guarantee a uniform product quality and high process efficiency, a continuous freeze-drying process is developed and evaluated. The main differences between the proposed continuous freeze-drying process and traditional freeze-drying can be found firstly in the freezing step during which the vials are rotated around their longitudinal axis (spin freezing), and secondly in the drying step during which the energy for sublimation and desorption is provided through the vial wall by conduction via an electrical heating pad. To obtain a more efficient drying process, the energy transfer has to be optimised without exceeding the product and process limits (e.g. cake collapse, choked flow). Therefore, a mechanistic model describing primary drying during continuous lyophilisation of unit doses based on conduction via heating pads was developed allowing the prediction of the optimal dynamic power input and temperature output of the electric heating pads. The model was verified by experimentally testing the optimal dynamic primary drying conditions calculated for a model formulation. The primary drying endpoint of the model formulation was determined via in-line NIR spectroscopy. This endpoint was then compared with the predicted model based endpoint. The mean ratio between the experimental and model based predicted drying time for six verification runs was 1.05±0.07, indicating a good accordance between the model and the experimental data.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Liofilización / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Pharm Año: 2017 Tipo del documento: Article Pais de publicación: HOLANDA / HOLLAND / NETHERLANDS / NL / PAISES BAJOS / THE NETHERLANDS

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Liofilización / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Pharm Año: 2017 Tipo del documento: Article Pais de publicación: HOLANDA / HOLLAND / NETHERLANDS / NL / PAISES BAJOS / THE NETHERLANDS