An investigation into the usefulness of different empirical modeling techniques for better control of spray-on fluidized bed melt granulation
Само за регистроване кориснике
2015
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Melt granulation in fluid bed processors is an emerging technique, but literature data regarding the modeling of this granulation method are lacking. In the present study different techniques (response surface analysis, multilayer perceptron neural network, and partial least squares method) were applied for modeling of spray-on fluidized bed melt granulation. Experiments were organized in line with central composite design. The effect of binder content and spray air pressure on granule properties was evaluated. The results obtained indicate that binder content can be identified as a critical factor controlling the granule size and size distribution. It was found that agglomeration mechanism involved, i.e., granule shape, can be greatly influenced by binder properties. The spray air pressure was identified as critical process parameter affecting granule flowability. The results presented indicate that application of in silico tools enables enhanced understanding and better control of no...vel pharmaceutical processes, such as melt granulation in fluidized bed. The artificial neural networks and partial least squares method were found to be superior to response surface methodology in prediction of granule properties. According to the results obtained, application of more advanced empirical modeling techniques complementary to design of experiments can be a suitable approach in defining the design space and optimization of spray-on fluidized bed melt granulation.
Извор:
International Journal of Pharmaceutics, 2015, 496, 2, 627-635Издавач:
- 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.ijpharm.2015.11.001
ISSN: 0378-5173
PubMed: 26551673
WoS: 000367384700048
Scopus: 2-s2.0-84949627513
Институција/група
PharmacyTY - JOUR AU - Aleksić, Ivana AU - Đuriš, Jelena AU - Ibrić, Svetlana AU - Parojčić, Jelena PY - 2015 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2361 AB - Melt granulation in fluid bed processors is an emerging technique, but literature data regarding the modeling of this granulation method are lacking. In the present study different techniques (response surface analysis, multilayer perceptron neural network, and partial least squares method) were applied for modeling of spray-on fluidized bed melt granulation. Experiments were organized in line with central composite design. The effect of binder content and spray air pressure on granule properties was evaluated. The results obtained indicate that binder content can be identified as a critical factor controlling the granule size and size distribution. It was found that agglomeration mechanism involved, i.e., granule shape, can be greatly influenced by binder properties. The spray air pressure was identified as critical process parameter affecting granule flowability. The results presented indicate that application of in silico tools enables enhanced understanding and better control of novel pharmaceutical processes, such as melt granulation in fluidized bed. The artificial neural networks and partial least squares method were found to be superior to response surface methodology in prediction of granule properties. According to the results obtained, application of more advanced empirical modeling techniques complementary to design of experiments can be a suitable approach in defining the design space and optimization of spray-on fluidized bed melt granulation. PB - Elsevier Science BV, Amsterdam T2 - International Journal of Pharmaceutics T1 - An investigation into the usefulness of different empirical modeling techniques for better control of spray-on fluidized bed melt granulation VL - 496 IS - 2 SP - 627 EP - 635 DO - 10.1016/j.ijpharm.2015.11.001 ER -
@article{ author = "Aleksić, Ivana and Đuriš, Jelena and Ibrić, Svetlana and Parojčić, Jelena", year = "2015", abstract = "Melt granulation in fluid bed processors is an emerging technique, but literature data regarding the modeling of this granulation method are lacking. In the present study different techniques (response surface analysis, multilayer perceptron neural network, and partial least squares method) were applied for modeling of spray-on fluidized bed melt granulation. Experiments were organized in line with central composite design. The effect of binder content and spray air pressure on granule properties was evaluated. The results obtained indicate that binder content can be identified as a critical factor controlling the granule size and size distribution. It was found that agglomeration mechanism involved, i.e., granule shape, can be greatly influenced by binder properties. The spray air pressure was identified as critical process parameter affecting granule flowability. The results presented indicate that application of in silico tools enables enhanced understanding and better control of novel pharmaceutical processes, such as melt granulation in fluidized bed. The artificial neural networks and partial least squares method were found to be superior to response surface methodology in prediction of granule properties. According to the results obtained, application of more advanced empirical modeling techniques complementary to design of experiments can be a suitable approach in defining the design space and optimization of spray-on fluidized bed melt granulation.", publisher = "Elsevier Science BV, Amsterdam", journal = "International Journal of Pharmaceutics", title = "An investigation into the usefulness of different empirical modeling techniques for better control of spray-on fluidized bed melt granulation", volume = "496", number = "2", pages = "627-635", doi = "10.1016/j.ijpharm.2015.11.001" }
Aleksić, I., Đuriš, J., Ibrić, S.,& Parojčić, J.. (2015). An investigation into the usefulness of different empirical modeling techniques for better control of spray-on fluidized bed melt granulation. in International Journal of Pharmaceutics Elsevier Science BV, Amsterdam., 496(2), 627-635. https://doi.org/10.1016/j.ijpharm.2015.11.001
Aleksić I, Đuriš J, Ibrić S, Parojčić J. An investigation into the usefulness of different empirical modeling techniques for better control of spray-on fluidized bed melt granulation. in International Journal of Pharmaceutics. 2015;496(2):627-635. doi:10.1016/j.ijpharm.2015.11.001 .
Aleksić, Ivana, Đuriš, Jelena, Ibrić, Svetlana, Parojčić, Jelena, "An investigation into the usefulness of different empirical modeling techniques for better control of spray-on fluidized bed melt granulation" in International Journal of Pharmaceutics, 496, no. 2 (2015):627-635, https://doi.org/10.1016/j.ijpharm.2015.11.001 . .