Please use this identifier to cite or link to this item: https://doi.org/10.1002/jps.23635
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dc.titleA prediction model for monitoring ribbed roller compacted ribbons
dc.contributor.authorQuyet, P.V.
dc.contributor.authorSamanta, A.K.
dc.contributor.authorLiew, C.V.
dc.contributor.authorChan, L.W.
dc.contributor.authorHeng, P.W.S.
dc.date.accessioned2014-10-29T01:47:45Z
dc.date.available2014-10-29T01:47:45Z
dc.date.issued2013-08
dc.identifier.citationQuyet, P.V., Samanta, A.K., Liew, C.V., Chan, L.W., Heng, P.W.S. (2013-08). A prediction model for monitoring ribbed roller compacted ribbons. Journal of Pharmaceutical Sciences 102 (8) : 2667-2678. ScholarBank@NUS Repository. https://doi.org/10.1002/jps.23635
dc.identifier.issn00223549
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105584
dc.description.abstractThe application of near infrared (NIR) spectroscopy for real-time monitoring of the critical quality attributes of ribbed roller compacted ribbons was studied. Three NIR probes (QR 200, QR 400, and QR 600) of lens diameters, 200, 400, and 600 μm, respectively were used at various fixed distances from the ribbon surface to determine the calibration model with optimum predictive ability for monitoring the roller compaction process. The ribbon attributes studied were micronized chlorpheniramine maleate concentration, roll force, roll speed, ribbon density, and tensile strength. The custom-made belt conveying system was used to simulate the ribbon manufacturing process for NIR spectra capture. Simulation results obtained were then compared with the experimental results. The outcome of this study indicated that QR 400 was the best NIR probe for modeling, followed by QR 200 and QR 600. Of the five spectra measuring distance settings (d = 0.3, 0.6, 0.9, 1.2, and 1.5 mm), there was good correlation between simulation and experimental findings indicating that the calibration models for bigger probe sizes were better if the measuring distance was smaller. © 2013 Wiley Periodicals, Inc. and the American Pharmacists Association.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/jps.23635
dc.sourceScopus
dc.subjectGranulation
dc.subjectInfrared spectroscopy
dc.subjectMorphology
dc.subjectPhysical characterization
dc.subjectProcessing
dc.subjectRoller compaction
dc.subjectSimulations
dc.typeArticle
dc.contributor.departmentPHARMACY
dc.description.doi10.1002/jps.23635
dc.description.sourcetitleJournal of Pharmaceutical Sciences
dc.description.volume102
dc.description.issue8
dc.description.page2667-2678
dc.description.codenJPMSA
dc.identifier.isiut000322991300022
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