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Monitoring the Film Coating Unit Operation and Predicting Drug Dissolution Using Terahertz Pulsed Imaging.
J PHARM SCI-US
4866 - 4876.
Understanding the coating unit operation is imperative to improve product quality and reduce output risks for coated solid dosage forms. Three batches of sustained-release tablets coated with the same process parameters (pan speed, spray rate, etc.) were subjected to terahertz pulsed imaging (TPI) analysis followed by dissolution testing. Mean dissolution times (MDT) from conventional dissolution testing were correlated with terahertz waveforms, which yielded a multivariate, partial least squares regression (PLS) model with an R-2 of 0.92 for the calibration set and 0.91 for the validation set. This two-component, PLS model was built from batch I that was coated in the same environmental conditions (air temperature, humidity, etc.) to that of batch II but at different environmental conditions from batch III. The MDTs of batch II was predicted in a nondestructive manner with the developed PLS model and the accuracy of the predicted values were subsequently validated with conventional dissolution testing and found to be in good agreement. The terahertz PLS model was also shown to be sensitive to changes in the coating conditions, successfully identifying the larger coating variability in batch III. In this study, we demonstrated that TPI in conjunction with PLS analysis could be employed to assist with film coating process understanding and provide predictions on drug dissolution. (C) 2009 Wiley-Liss, Inc. and the American Pharmacists Association J Pharm Sci 98:4866-4876, 2009
|Title:||Monitoring the Film Coating Unit Operation and Predicting Drug Dissolution Using Terahertz Pulsed Imaging|
|Keywords:||terahertz pulsed imaging (TPI), coating, controlled release, image analysis, dissolution, unit operations, sustained-release, coating curing, NEAR-INFRARED SPECTROSCOPY, DIFFUSE-REFLECTANCE SPECTROSCOPY, PROCESS ANALYTICAL TECHNOLOGY, NONDESTRUCTIVE METHOD, COATED TABLET, THICKNESS, FORMS, RAMAN, TOOL|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Electronic and Electrical Engineering
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