Please use this identifier to cite or link to this item: https://doi.org/10.1002/jps.23635
Title: A prediction model for monitoring ribbed roller compacted ribbons
Authors: Quyet, P.V.
Samanta, A.K.
Liew, C.V. 
Chan, L.W. 
Heng, P.W.S. 
Keywords: Granulation
Infrared spectroscopy
Morphology
Physical characterization
Processing
Roller compaction
Simulations
Issue Date: Aug-2013
Citation: Quyet, 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
Abstract: The 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.
Source Title: Journal of Pharmaceutical Sciences
URI: http://scholarbank.nus.edu.sg/handle/10635/105584
ISSN: 00223549
DOI: 10.1002/jps.23635
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

6
checked on Jun 20, 2018

WEB OF SCIENCETM
Citations

5
checked on Jun 20, 2018

Page view(s)

44
checked on May 18, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.