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Validation of a diffusion-based single droplet drying model for encapsulation of a viral-vectored vaccine using an acoustic levitator.
Morgan, Blair A; Niinivaara, Elina; Xing, Zhou; Thompson, Michael R; Cranston, Emily D.
Afiliación
  • Morgan BA; Department of Chemical Engineering, McMaster University, Hamilton, Ontario L8S 4L7, Canada.
  • Niinivaara E; Department of Wood Science, University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada; Department of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, P.O. Box 16300, FI-0076 Aalto, Espoo, Finland.
  • Xing Z; McMaster Immunology Research Centre and Department of Medicine, McMaster University, Hamilton, Ontario L8S 4L7, Canada.
  • Thompson MR; Department of Chemical Engineering, McMaster University, Hamilton, Ontario L8S 4L7, Canada.
  • Cranston ED; Department of Chemical Engineering, McMaster University, Hamilton, Ontario L8S 4L7, Canada; Department of Wood Science, University of British Columbia, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada; Department of Chemical and Biological Engineering, University of British Columbia, 2360 East Mall, Va
Int J Pharm ; 605: 120806, 2021 Aug 10.
Article en En | MEDLINE | ID: mdl-34144140
Development of thermally stable spray dried viral-vectored vaccine powders is dependent on the selection of a proper excipient or excipient blend for encapsulation, which can be a time and resource intensive process. In this work, a diffusion-based droplet drying model was developed to compute droplet drying time, size, and component distribution. The model predictions were validated using an acoustic levitator to dry droplets containing protein-coated or fluorescently labelled silica nanoparticles (as adenoviral vector analogues) and a range of excipient blends. Surface morphology of the dried particles was characterized by atomic force microscopy and the distribution of silica nanoparticles was quantified by confocal microscopy. The modelled distributions of adenovirus agreed with the microscopy results for three mannitol/dextran excipient blends with varying molecular weight dextrans, verifying the equations and assumptions of the model. Viral vector activity data for adenovirus in a range of (poly)saccharide/sugar alcohol formulations were also compared to the model outputs, suggesting that viral activity decreases when the model predicts increasing adenovirus concentrations near the air-solid interface. Using a validated model with excipient property inputs that are readily available in the literature can facilitate the development of viral-vectored vaccines by identifying promising excipients without the need for experimentation.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vacunas Virales Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Pharm Año: 2021 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vacunas Virales Tipo de estudio: Prognostic_studies Idioma: En Revista: Int J Pharm Año: 2021 Tipo del documento: Article País de afiliación: Canadá