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Empirical prediction model based process optimization for droplet size and spraying angle during pharmaceutical fluidized bed granulation
- Source :
- Pharmaceutical Development and Technology. 25:720-728
- Publication Year :
- 2020
- Publisher :
- Informa UK Limited, 2020.
-
Abstract
- The objective of this study was to predict the droplet size and the spraying angle during the process of binder atomization in pharmaceutical fluidized bed granulation using an empirical model. The effects of the binder viscosity, the atomization pressure, and the spray rate on the droplet size and the spraying angle were investigated using a response surface central composite design and analysis of variance. Prediction models for droplet size and spraying angle were then established using stepwise regression analysis and were validated by comparing the measured and predicted values. The results showed that the droplet size model and the spraying angle model were well established, with an
- Subjects :
- Materials science
Viscosity
business.industry
Povidone
Pharmaceutical Science
02 engineering and technology
General Medicine
Empirical Research
021001 nanoscience & nanotechnology
030226 pharmacology & pharmacy
03 medical and health sciences
Hypromellose Derivatives
0302 clinical medicine
Scientific method
Technology, Pharmaceutical
Process optimization
Particle Size
0210 nano-technology
Process engineering
business
Droplet size
Fluidized bed granulation
Forecasting
Subjects
Details
- ISSN :
- 10979867 and 10837450
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Pharmaceutical Development and Technology
- Accession number :
- edsair.doi.dedup.....6df487a7dd2bf88650f39356d0a69f84