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• W4366525389 endingPage "122969" @default.
• W4366525389 startingPage "122969" @default.
• W4366525389 abstract "In this study, an integrated flowsheet model of the continuous feeder-mixer system was calibrated, simulated and compared against experimental data. The feeding process was first investigated using two major components (ibuprofen and microcrystalline cellulose (MCC)), in a formulation comprised of: 30 wt% of ibuprofen, 67.5 wt% MCC, 2 wt% of sodium starch glycolate and 0.5 wt% of magnesium stearate. The impact of a refill on feeder performance was experimentally evaluated for different operating conditions. Results showed that it had no influence on feeder performance. While simulations with the feeder model fairly reproduced the material behaviour observed in the feeder, unintended disturbances were underpredicted due to the model's low complexity. Experimentally, mixer's efficiency was assessed based on ibuprofen residence time distribution. Mean residence time pointed to a higher mixer's efficiency at lower flow rates. Blend homogeneity results showed that for the entire set of experiments, ibuprofen RSD < 5%, irrespective of process variables. A feeder-mixer flowsheet model was calibrated, after regressing the axial model coefficients. The regression curves exhibited a R2 above 0.96, whereas the RMSE varied from 1.58x10-4 to 1.06x10-3 s-1 across all fitted curves. Simulations confirmed that flowsheet model captured the powder dynamics inside the mixer and qualitatively predicted the mixer's filtering ability against feeding composition fluctuations, as well as ibuprofen RSD in blend, in line with real experiments." @default.
• W4366525389 created "2023-04-22" @default.
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• W4366525389 date "2023-05-01" @default.
• W4366525389 modified "2023-10-16" @default.
• W4366525389 title "Flowsheet modelling of a powder continuous feeder-mixer system" @default.
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• W4366525389 doi "https://doi.org/10.1016/j.ijpharm.2023.122969" @default.
• W4366525389 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37084833" @default.
• W4366525389 hasPublicationYear "2023" @default.
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