Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process
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 proces...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1100/2012/185085 |
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| author | Jelena Djuriš Djordje Medarević Marko Krstić Ivana Vasiljević Ivana Mašić Svetlana Ibrić |
| author_facet | Jelena Djuriš Djordje Medarević Marko Krstić Ivana Vasiljević Ivana Mašić Svetlana Ibrić |
| author_sort | Jelena Djuriš |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e4e5a477b6714685944a352541f62df4 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-e4e5a477b6714685944a352541f62df42025-02-03T01:26:04ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/185085185085Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression ProcessJelena Djuriš0Djordje Medarević1Marko Krstić2Ivana Vasiljević3Ivana Mašić4Svetlana Ibrić5Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Belgrade, 11221 Belgrade, SerbiaDepartment of Pharmaceutical Technology, Faculty of Pharmacy, University of Belgrade, 11221 Belgrade, SerbiaDepartment of Pharmaceutical Technology, Faculty of Pharmacy, University of Belgrade, 11221 Belgrade, SerbiaDepartment of Pharmaceutical Technology, Faculty of Pharmacy, University of Belgrade, 11221 Belgrade, SerbiaDepartment of Pharmaceutical Technology, Faculty of Pharmacy, University of Belgrade, 11221 Belgrade, SerbiaDepartment of Pharmaceutical Technology, Faculty of Pharmacy, University of Belgrade, 11221 Belgrade, SerbiaThe 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.http://dx.doi.org/10.1100/2012/185085 |
| spellingShingle | Jelena Djuriš Djordje Medarević Marko Krstić Ivana Vasiljević Ivana Mašić Svetlana Ibrić Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process The Scientific World Journal |
| title | Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process |
| title_full | Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process |
| title_fullStr | Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process |
| title_full_unstemmed | Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process |
| title_short | Design Space Approach in Optimization of Fluid Bed Granulation and Tablets Compression Process |
| title_sort | design space approach in optimization of fluid bed granulation and tablets compression process |
| url | http://dx.doi.org/10.1100/2012/185085 |
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