Linked Life Data

19876742

Source:http://linkedlifedata.com/resource/pubmed/id/19876742

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2010-1-21
pubmed:abstractText
In this study, a new concept for particle size prediction during the fluid bed granulation is presented. Using the process measurements data obtained from a design of experimental study, predictive partial least squares models were developed for spraying and drying phases. Measured and calculated process parameters from an instrumented fluid bed granulation environment were used as explaining factors, whereas an in-line particle size data determined by spatial filtering technique were used as response. Modeling was carried out by testing all possible combinations of two to six process parameters (factors) of the total of 41 parameters. Eleven batches were used for model development and four batches for model testing. The selected models predicted particle size (d50) well, especially during the spraying phase (Q2=0.86). While the measured in-line d50 data were markedly influenced by different process failures, e.g., impaired fluidization activity, the predicted data remained more consistent. This introduced concept can be applied in fluid bed granulation processes if the granulation environment is soundly instrumented and if reliable real-time particle size data from the design of experiment batches are retrieved for the model development.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1530-9932
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1268-75
pubmed:dateRevised
2010-11-9
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Predicting particle size during fluid bed granulation using process measurement data.
pubmed:affiliation
Orion Corporation Orion Pharma, Orionintie 1, P.O. Box 65, 02101, Espoo, Finland. tero.narvanen@orionpharma.com
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't