Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process
2012
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The aim of this study was to optimize fluid bed granulation and tablets compression processes using design space approach. Type of diluent, binder concentration, temperature during mixing, granulation and drying, spray rate, and atomization pressure were recognized as critical formulation and process parameters. They were varied in the first set of experiments in order to estimate their influences on critical quality attributes, that is, granules characteristics (size distribution, flowability, bulk density, tapped density, Carr's index, Hausner's ratio, and moisture content) using Plackett-Burman experimental design. Type of diluent and atomization pressure were selected as the most important parameters. In the second set of experiments, design space for process parameters (atomization pressure and compression force) and its influence on tablets characteristics was developed. Percent of paracetamol released and tablets hardness were determined as critical quality attributes. Artificia...l neural networks (ANNs) were applied in order to determine design space. ANNs models showed that atomization pressure influences mostly on the dissolution profile, whereas compression force affects mainly the tablets hardness. Based on the obtained ANNs models, it is possible to predict tablet hardness and paracetamol release profile for any combination of analyzed factors.
Izvor:
Sensors, 2012Izdavač:
- Hindawi Publishing Corporation, New York
DOI: 10.1100/2012/185085
ISSN: 1537-744X
PubMed: 22919295
WoS: 000307743100001
Scopus: 2-s2.0-84864917117
Institucija/grupa
PharmacyTY - JOUR AU - Đuriš, Jelena AU - Medarević, Đorđe AU - Krstić, Marko AU - Vasiljević, Ivana AU - Mašić, Ivana AU - Ibrić, Svetlana PY - 2012 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/1745 AB - The aim of this study was to optimize fluid bed granulation and tablets compression processes using design space approach. Type of diluent, binder concentration, temperature during mixing, granulation and drying, spray rate, and atomization pressure were recognized as critical formulation and process parameters. They were varied in the first set of experiments in order to estimate their influences on critical quality attributes, that is, granules characteristics (size distribution, flowability, bulk density, tapped density, Carr's index, Hausner's ratio, and moisture content) using Plackett-Burman experimental design. Type of diluent and atomization pressure were selected as the most important parameters. In the second set of experiments, design space for process parameters (atomization pressure and compression force) and its influence on tablets characteristics was developed. Percent of paracetamol released and tablets hardness were determined as critical quality attributes. Artificial neural networks (ANNs) were applied in order to determine design space. ANNs models showed that atomization pressure influences mostly on the dissolution profile, whereas compression force affects mainly the tablets hardness. Based on the obtained ANNs models, it is possible to predict tablet hardness and paracetamol release profile for any combination of analyzed factors. PB - Hindawi Publishing Corporation, New York T2 - Sensors T1 - Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process DO - 10.1100/2012/185085 ER -
@article{ author = "Đuriš, Jelena and Medarević, Đorđe and Krstić, Marko and Vasiljević, Ivana and Mašić, Ivana and Ibrić, Svetlana", year = "2012", abstract = "The aim of this study was to optimize fluid bed granulation and tablets compression processes using design space approach. Type of diluent, binder concentration, temperature during mixing, granulation and drying, spray rate, and atomization pressure were recognized as critical formulation and process parameters. They were varied in the first set of experiments in order to estimate their influences on critical quality attributes, that is, granules characteristics (size distribution, flowability, bulk density, tapped density, Carr's index, Hausner's ratio, and moisture content) using Plackett-Burman experimental design. Type of diluent and atomization pressure were selected as the most important parameters. In the second set of experiments, design space for process parameters (atomization pressure and compression force) and its influence on tablets characteristics was developed. Percent of paracetamol released and tablets hardness were determined as critical quality attributes. Artificial neural networks (ANNs) were applied in order to determine design space. ANNs models showed that atomization pressure influences mostly on the dissolution profile, whereas compression force affects mainly the tablets hardness. Based on the obtained ANNs models, it is possible to predict tablet hardness and paracetamol release profile for any combination of analyzed factors.", publisher = "Hindawi Publishing Corporation, New York", journal = "Sensors", title = "Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process", doi = "10.1100/2012/185085" }
Đuriš, J., Medarević, Đ., Krstić, M., Vasiljević, I., Mašić, I.,& Ibrić, S.. (2012). Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process. in Sensors Hindawi Publishing Corporation, New York.. https://doi.org/10.1100/2012/185085
Đuriš J, Medarević Đ, Krstić M, Vasiljević I, Mašić I, Ibrić S. Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process. in Sensors. 2012;. doi:10.1100/2012/185085 .
Đuriš, Jelena, Medarević, Đorđe, Krstić, Marko, Vasiljević, Ivana, Mašić, Ivana, Ibrić, Svetlana, "Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process" in Sensors (2012), https://doi.org/10.1100/2012/185085 . .