Analysis of fluidized bed granulation process using conventional and novel modeling techniques
Само за регистроване кориснике
2011
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
In silico modeling / Neural networks / Fluid-bed / Self-organizing maps / Decision treesИзвор:
European Journal of Pharmaceutical Sciences, 2011, 44, 3, 227-234Издавач:
- Elsevier Science BV, Amsterdam
Финансирање / пројекти:
- Развој производа и технологија које обезбеђују жељено ослобађање лековитих супстанци из чврстих фармацеутских облика (RS-MESTD-Technological Development (TD or TR)-34007)
DOI: 10.1016/j.ejps.2011.07.013
ISSN: 0928-0987
PubMed: 21839830
WoS: 000296930000007
Scopus: 2-s2.0-80053898709
Институција/група
PharmacyTY - 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 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" }
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
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 .
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 . .