Visualization and prediction of porosity in roller compacted ribbons with near-infrared chemical imaging (NIR-CI).
The porosity of roller compacted ribbon is recognized as an important critical quality attribute which has a huge impact on the final product quality. The purpose of this study was to investigate the use of near-infrared chemical imaging (NIR-CI) for porosity estimation of ribbons produced at different roll pressures. Two off-line methods were utilized as reference methods. The relatively fast method (oil absorption) was comparable with the more time-consuming mercury intrusion method (R(2)=0.98). Therefore, the oil method was selected as the reference off line method. It was confirmed by both reference methods that ribbons compressed at a higher pressure resulted in a lower mean porosity. Using NIR-CI in combination with multivariate data analysis it was possible to visualize and predict the porosity distribution of the ribbons. This approach is considered important for process monitoring and control of continuously operating roller compaction line.
Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
M
M
Khorasani
Department of Food Science, Faculty of Science, University of Copenhagen, Denmark.
J M
JM
Amigo
Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
J
J
Sonnergaard
Takeda Pharma A/S, Roskilde, Denmark.
P
P
Olsen
Takeda Pharma A/S, Roskilde, Denmark.
P
P
Bertelsen
Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark. Electronic address: jukka.rantanen@sund.ku.dk.
J
J
Rantanen
D002482:Cellulose; D002626:Chemistry, Pharmaceutical; D004339:Drug Compounding / Q000295:instrumentation*; D005079:Excipients; D008628:Mercury; D009821:Oils; D016062:Porosity; D011208:Powders / Q000032:analysis*; D011312:Pressure; D025341:Principal Component Analysis; D019265:Spectroscopy, Near-Infrared
D005079:Excipients; D009821:Oils; D011208:Powders; D002482:Cellulose; D008628:Mercury; C109691:microcrystalline cellulose
NIR chemical imaging spectroscopy; Partial least square; Porosity; Principal component analysis; Roller compaction