Pharmaceutical tablet compression: measuring temporal and radial concentration profiles to better assess segregation.

Autor: Robert G; Department of Chemical & Biotechnological Engineering, Université de Sherbrooke, Sherbrooke, Québec, Canada., Dalvi H; Department of Chemical & Biotechnological Engineering, Université de Sherbrooke, Sherbrooke, Québec, Canada., Lavoie FB; Department of Chemical & Biotechnological Engineering, Université de Sherbrooke, Sherbrooke, Québec, Canada., Abatzoglou N; Department of Chemical & Biotechnological Engineering, Université de Sherbrooke, Sherbrooke, Québec, Canada., Gosselin R; Department of Chemical & Biotechnological Engineering, Université de Sherbrooke, Sherbrooke, Québec, Canada.
Jazyk: angličtina
Zdroj: Pharmaceutical development and technology [Pharm Dev Technol] 2022 Apr; Vol. 27 (4), pp. 448-458. Date of Electronic Publication: 2022 May 25.
DOI: 10.1080/10837450.2022.2078348
Abstrakt: Concentration monitoring inside a tablet press feed frame is important not only to assess the composition of the powder blend compressed into tablets but also to detect quality affecting phenomena such as powder segregation. Near infrared spectroscopy has been successfully used to monitor powder concentration inside the feed frame; however, so far, this methodology does not provide information on local spatial variability, since it probes a very small area of powder sample. Near infrared chemical imaging (NIR CI) has the potential to improve process monitoring because it can simultaneously acquire a plurality of spectra covering nearly the entire width of the feed frame, thereby making it possible to detect local variations in powder concentration. The present work uses both NIRS and NIR CI to monitor the concentration of Ibuprofen and Ascorbic acid in multi-component mock pharmaceutical blends flowing through the feed frame of an industrial tablet press. The concentrations of Ibuprofen and Ascorbic acid were successfully monitored in multi-component powder blends. NIR spectral wavelength ranges and pre-treatments were simultaneously optimized via a genetic algorithm. N-way PLS approach for concentration monitoring was found to be more suitable than regular PLS when analyzing spectral images and provided the ability to visualize spatial segregation.
Databáze: MEDLINE
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