Please use this identifier to cite or link to this item:
Type: Artigo
Title: Unveiling Multiple Solid-state Transitions In Pharmaceutical Solid Dosage Forms Using Multi-series Hyperspectral Imaging And Different Curve Resolution Approaches
Author: Alexandrino
Guilherme L.; Amigo
Jose M.; Khorasani
Milad R.; Rantanen
Jukka; Friderichsen
Anders V.; Poppi
Ronei J.
Abstract: Solid-state transitions at the surface of pharmaceutical solid dosage forms (SDF) were monitored using multi series hyperspectral imaging (HSI) along with Multivariate Curve Resolution - Alternating Least Squares (MCR-ALS) and Parallel Factor Analysis (PARAFAC and PARAFAC2). First, the solid-state transformation due to the dehydration of the monohydrate forms of piroxicam and lactose to their respective anhydrate counterparts in tablets were monitored using temperature series NIR-HSI. PARAFAC and MCR-ALS solutions were hampered by the lack of strict trilinearity of the pixels among the unfolded series NIR-images (three-way array) and due to rotational ambiguity (augmented matrix), respectively, while PARAFAC2 resolved satisfactorily the profile of the corresponding compounds in the pixels in the series NIR-images. Next, the amorphous-to-crystalline transitions were monitored in solid dispersion of indomethacin with polyvinylpyrrolidone using time series MIR-HSI. MCR-ALS properly resolved the known solid-state forms of the drug in the pixels of the series MIR-images, while PARAFAC and PARAFAC2 failed to properly resolve all the drug forms in the series MIR-images due to i) strict trilinearity leak in the three-way array and the mandatory constant cross-product A(k)(T)A(k) over the k series MIR-images (A is the loadings of the shift mode), respectively. The highlighting of the advantages and limitation of the corresponding curve resolution methods stressed their potential applicability when handling multi-series HSI to study solid-state transitions in pharmaceutical SDFs.
Subject: Pharmaceuticals
Solid-state Transitions
Infrared Spectroscopy
Multi-series Hyperspectral Imaging
Editor: Elsevier Science BV
Rights: fechado
Identifier DOI: 10.1016/j.chemolab.2016.11.004
Date Issue: 2017
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000394066100016.pdf1.53 MBAdobe PDFView/Open

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