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Optimization of the high-shear wet granulation wetting process using fuzzy logic modeling
Z Belohlav, L Brenkova, J Kalcikova, J Hanika, P Durdil, V Tomasek, M Palatova
Jazyk angličtina Země Spojené státy americké
NLK
Medline Complete (EBSCOhost)
od 1999-01-01 do Před 1 rokem
- MeSH
- chemie farmaceutická MeSH
- farmaceutická technologie metody MeSH
- financování organizované MeSH
- fuzzy logika MeSH
- léčivé přípravky chemie MeSH
- pomocné látky chemie MeSH
- rozpustnost MeSH
- smáčivost MeSH
- velikost částic MeSH
- voda chemie MeSH
A fuzzy model has been developed for the optimization of high-shear wet granulation wetting on a plant scale depending on the characteristics of pharmaceutical active substance particles. The model optimized on the basis of experimental data involves a set of rules obtained from expert knowledge and full-scale process data. The skewness coefficient of particle size distribution and the tapped density of the granulated mixture were chosen as the model input variables. The output of the fuzzy ruled system is the optimal quantity of wetting liquid. In comparison to manufacturing practice, a very strong sensitivity of the optimal quantity of the added wetting liquid to the size and shape of the active substance particles has been identified by fuzzy modeling.
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- $a Department of Organic Technology, Institute of Chemical Technology Prague, Prague, Czech Republic
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- $a A fuzzy model has been developed for the optimization of high-shear wet granulation wetting on a plant scale depending on the characteristics of pharmaceutical active substance particles. The model optimized on the basis of experimental data involves a set of rules obtained from expert knowledge and full-scale process data. The skewness coefficient of particle size distribution and the tapped density of the granulated mixture were chosen as the model input variables. The output of the fuzzy ruled system is the optimal quantity of wetting liquid. In comparison to manufacturing practice, a very strong sensitivity of the optimal quantity of the added wetting liquid to the size and shape of the active substance particles has been identified by fuzzy modeling.
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