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Statements

Subject Item
n2:RIV%2F67985858%3A_____%2F07%3A00099738%21RIV08-AV0-67985858
rdf:type
skos:Concept n17:Vysledek
dcterms:description
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. Byl vyvinut fuzzy model pro optimalizaci výrobního procesu vlhké granulace, založeného na charakteristikách částic aktivní farmaceutické substance. Model vychází z experimentálních dat a expertních znalostí průmyslového procesu. Parametry modelu jsou charakteristiky distribuce velikosti částic a setřesná hustota granulované směsi. Výstupem modelu je optimální množství vlhčiva, které koresponduje s velikostí a tvarem částic granulované substance. 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.
dcterms:title
Optimization of the High-Shear Wet Granulation Wetting Process Using Fuzzy Logic Modeling Optimization of the High-Shear Wet Granulation Wetting Process Using Fuzzy Logic Modeling Optimalizace procesu vlké granulace s použitím fuzzy-logického modelování
skos:prefLabel
Optimalizace procesu vlké granulace s použitím fuzzy-logického modelování Optimization of the High-Shear Wet Granulation Wetting Process Using Fuzzy Logic Modeling Optimization of the High-Shear Wet Granulation Wetting Process Using Fuzzy Logic Modeling
skos:notation
RIV/67985858:_____/07:00099738!RIV08-AV0-67985858
n3:strany
345;352
n3:aktivita
n6:S n6:Z
n3:aktivity
S, Z(AV0Z40720504), Z(MSM6046137301), Z(MSM6046137306)
n3:cisloPeriodika
4
n3:dodaniDat
n10:2008
n3:domaciTvurceVysledku
n5:7561997
n3:druhVysledku
n9:J
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
439905
n3:idVysledku
RIV/67985858:_____/07:00099738
n3:jazykVysledku
n4:eng
n3:klicovaSlova
fuzzy logic; mathematical model; granulation
n3:klicoveSlovo
n7:fuzzy%20logic n7:granulation n7:mathematical%20model
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[28A69F23E167]
n3:nazevZdroje
Pharmaceutical Development and Technology
n3:obor
n11:CI
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
7
n3:rokUplatneniVysledku
n10:2007
n3:svazekPeriodika
12
n3:tvurceVysledku
Hanika, Jiří Břenková, L. Kalčíková, J. Palatová, M. Tomášek, V. Durdil, P. Bělohlav, Z.
n3:zamer
n13:AV0Z40720504 n13:MSM6046137306 n13:MSM6046137301
s:issn
1083-7450
s:numberOfPages
8