Open AccessConcentration monitoring with near infrared chemical imaging in a tableting press
Author(s) -
Himmat Dalvi,
Clémence FauteuxLefebvre,
Jean-Maxime Guay,
Nicolas Abatzoglou,
Ryan Gosselin
Publication year - 2018
Publication title -
journal of spectral imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.256
H-Index - 6
ISSN - 2040-4565
DOI - 10.1255/jsi.2018.a5
Subject(s) - process analytical technology , near infrared spectroscopy , tableting , microcrystalline cellulose , materials science , spectroscopy , chemometrics , calibration , process engineering , analytical chemistry (journal) , chemistry , chromatography , cellulose , mathematics , chemical engineering , optics , engineering , physics , statistics , organic chemistry , quantum mechanics , bioprocess
Monitoring powder potency and homogeneity is important in achieving real-time release testing in a continuoustablet manufacturing operation. If quality related issues are encountered, monitoring powder potency inside a feed frameoffers a last opportunity to intervene in the process before tablet compression. Feed frame monitoring methods based onnear infrared (NIR) spectroscopy have been increasingly reported in recent years. New process analytical tools with thepotential of being deployed alone or in combination with NIR spectroscopy for feed frame monitoring are now availablecommercially. The present study evaluated the potential of near infrared chemical imaging (NIR CI) for in-line monitoring of a prototype pharmaceutical composition containing ascorbic acid (AA), microcrystalline cellulose and dicalcium phosphate.NIR spectroscopy was the reference method. In-line calibration models based on partial least square regression weredeveloped and validated with a range of AA concentrations. The ability of NIR spectroscopy and NIR CI to predictconcentrations in test runs was ascertained both independently and in combination. NIR CI, with a single bandpass filter,predicted AA concentrations—present at commercially relevant concentrations—with acceptable accuracy. Comparativeresults showed that NIR CI has the potential for in-line monitoring of blend concentrations inside feed frames. In addition tothe advantage of increased sample size, it also has the potential to detect segregation inside feed frames.