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Analysis of fluidized bed granulation process using conventional and novel modeling techniques

Authorized Users Only
2011
Authors
Petrović, Jelena
Chansanroj, Krisanin
Meier, Brigitte
Ibrić, Svetlana
Betz, Gabriele
Article (Published version)
Metadata
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Abstract
Various modeling techniques have been applied to analyze fluidized-bed granulation process. Influence of various input parameters (product, inlet and outlet air temperature, consumption of liquid-binder, granulation liquid-binder spray rate, spray pressure, drying time) on granulation output properties (granule flow rate, granule size determined using light scattering method and sieve analysis, granules Hausner ratio, porosity and residual moisture) has been assessed. Both conventional and novel modeling techniques were used, such as screening test, multiple regression analysis, self-organizing maps, artificial neural networks, decision trees and rule induction. Diverse testing of developed models (internal and external validation) has been discussed. Good correlation has been obtained between the predicted and the experimental data. It has been shown that nonlinear methods based on artificial intelligence, such as neural networks, are far better in generalization and prediction in com...parison to conventional methods. Possibility of usage of SOMs, decision trees and rule induction technique to monitor and optimize fluidized-bed granulation process has also been demonstrated. Obtained findings can serve as guidance to implementation of modeling techniques in fluidized-bed granulation process understanding and control.

Keywords:
In silico modeling / Neural networks / Fluid-bed / Self-organizing maps / Decision trees
Source:
European Journal of Pharmaceutical Sciences, 2011, 44, 3, 227-234
Publisher:
  • Elsevier Science BV, Amsterdam
Funding / projects:
  • Advanced technologies for controlled release from solid drug delivery systems (RS-34007)

DOI: 10.1016/j.ejps.2011.07.013

ISSN: 0928-0987

PubMed: 21839830

WoS: 000296930000007

Scopus: 2-s2.0-80053898709
[ Google Scholar ]
26
24
URI
https://farfar.pharmacy.bg.ac.rs/handle/123456789/1484
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Pharmacy
TY  - JOUR
AU  - Petrović, Jelena
AU  - Chansanroj, Krisanin
AU  - Meier, Brigitte
AU  - Ibrić, Svetlana
AU  - Betz, Gabriele
PY  - 2011
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1484
AB  - Various modeling techniques have been applied to analyze fluidized-bed granulation process. Influence of various input parameters (product, inlet and outlet air temperature, consumption of liquid-binder, granulation liquid-binder spray rate, spray pressure, drying time) on granulation output properties (granule flow rate, granule size determined using light scattering method and sieve analysis, granules Hausner ratio, porosity and residual moisture) has been assessed. Both conventional and novel modeling techniques were used, such as screening test, multiple regression analysis, self-organizing maps, artificial neural networks, decision trees and rule induction. Diverse testing of developed models (internal and external validation) has been discussed. Good correlation has been obtained between the predicted and the experimental data. It has been shown that nonlinear methods based on artificial intelligence, such as neural networks, are far better in generalization and prediction in comparison to conventional methods. Possibility of usage of SOMs, decision trees and rule induction technique to monitor and optimize fluidized-bed granulation process has also been demonstrated. Obtained findings can serve as guidance to implementation of modeling techniques in fluidized-bed granulation process understanding and control.
PB  - Elsevier Science BV, Amsterdam
T2  - European Journal of Pharmaceutical Sciences
T1  - Analysis of fluidized bed granulation process using conventional and novel modeling techniques
VL  - 44
IS  - 3
SP  - 227
EP  - 234
DO  - 10.1016/j.ejps.2011.07.013
UR  - conv_2545
ER  - 
@article{
author = "Petrović, Jelena and Chansanroj, Krisanin and Meier, Brigitte and Ibrić, Svetlana and Betz, Gabriele",
year = "2011",
abstract = "Various modeling techniques have been applied to analyze fluidized-bed granulation process. Influence of various input parameters (product, inlet and outlet air temperature, consumption of liquid-binder, granulation liquid-binder spray rate, spray pressure, drying time) on granulation output properties (granule flow rate, granule size determined using light scattering method and sieve analysis, granules Hausner ratio, porosity and residual moisture) has been assessed. Both conventional and novel modeling techniques were used, such as screening test, multiple regression analysis, self-organizing maps, artificial neural networks, decision trees and rule induction. Diverse testing of developed models (internal and external validation) has been discussed. Good correlation has been obtained between the predicted and the experimental data. It has been shown that nonlinear methods based on artificial intelligence, such as neural networks, are far better in generalization and prediction in comparison to conventional methods. Possibility of usage of SOMs, decision trees and rule induction technique to monitor and optimize fluidized-bed granulation process has also been demonstrated. Obtained findings can serve as guidance to implementation of modeling techniques in fluidized-bed granulation process understanding and control.",
publisher = "Elsevier Science BV, Amsterdam",
journal = "European Journal of Pharmaceutical Sciences",
title = "Analysis of fluidized bed granulation process using conventional and novel modeling techniques",
volume = "44",
number = "3",
pages = "227-234",
doi = "10.1016/j.ejps.2011.07.013",
url = "conv_2545"
}
Petrović, J., Chansanroj, K., Meier, B., Ibrić, S.,& Betz, G.. (2011). Analysis of fluidized bed granulation process using conventional and novel modeling techniques. in European Journal of Pharmaceutical Sciences
Elsevier Science BV, Amsterdam., 44(3), 227-234.
https://doi.org/10.1016/j.ejps.2011.07.013
conv_2545
Petrović J, Chansanroj K, Meier B, Ibrić S, Betz G. Analysis of fluidized bed granulation process using conventional and novel modeling techniques. in European Journal of Pharmaceutical Sciences. 2011;44(3):227-234.
doi:10.1016/j.ejps.2011.07.013
conv_2545 .
Petrović, Jelena, Chansanroj, Krisanin, Meier, Brigitte, Ibrić, Svetlana, Betz, Gabriele, "Analysis of fluidized bed granulation process using conventional and novel modeling techniques" in European Journal of Pharmaceutical Sciences, 44, no. 3 (2011):227-234,
https://doi.org/10.1016/j.ejps.2011.07.013 .,
conv_2545 .

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