Pixel-based Raman hyperspectral identi fi ...
Document type :
Article dans une revue scientifique: Article original
PMID :
Permalink :
Title :
Pixel-based Raman hyperspectral identi fi cation of complex pharmaceutical formulations
Author(s) :
Coic, Laureen [Auteur]
Sacré, Pierre-Yves [Auteur]
Dispas, Amandine [Auteur]
De Bleye, Charlotte [Auteur]
Fillet, Marianne [Auteur]
Université de Liège
Ruckebusch, Cyril [Auteur]
Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516
Hubert, Philippe [Auteur]
Ziemons, Eric [Auteur]
Université de Liège
Centre International de Rencontres Mathématiques [CIRM]
Sacré, Pierre-Yves [Auteur]
Dispas, Amandine [Auteur]
De Bleye, Charlotte [Auteur]
Fillet, Marianne [Auteur]
Université de Liège
Ruckebusch, Cyril [Auteur]

Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516
Hubert, Philippe [Auteur]
Ziemons, Eric [Auteur]
Université de Liège
Centre International de Rencontres Mathématiques [CIRM]
Journal title :
Analytica Chimica Acta
Abbreviated title :
Anal. Chim. Acta
Volume number :
1155
Pages :
-
Publication date :
2021-03-30
ISSN :
0003-2670
English keyword(s) :
Falsified medicines
Essential spectral pixels
Pixel selection
Spectral identification
Hyperspectral imaging
Essential spectral pixels
Pixel selection
Spectral identification
Hyperspectral imaging
HAL domain(s) :
Chimie/Chimie théorique et/ou physique
English abstract : [en]
Hyperspectral imaging has been widely used for different kinds of applications and many chemometric tools have been developed to help identifying chemical compounds. However, most of those tools rely on factorial decomposition ...
Show more >Hyperspectral imaging has been widely used for different kinds of applications and many chemometric tools have been developed to help identifying chemical compounds. However, most of those tools rely on factorial decomposition techniques that can be challenging for large data sets and/or in the presence of minor compounds. The present study proposes a pixel-based identification (PBI) approach that allows readily identifying spectral signatures in Raman hyperspectral imaging data. This strategy is based on the identification of essential spectral pixels (ESP), which can be found by convex hull calculation. As the corresponding set of spectra is largely reduced and encompasses the purest spectral signatures, direct database matching and identification can be reliably and rapidly performed. The efficiency of PBI was evaluated on both known and unknown samples, considering genuine and falsified pharmaceutical tablets. We showed that it is possible to analyze a wide variety of pharmaceutical formulations of increasing complexity (from 5 to 0.1% (w/w) of polymorphic impurity detection) for medium (150 x 150 pixels) and big (1000 x 1000 pixels) map sizes in less than 2 min. Moreover, in the case of falsified medicines, it is demonstrated that the proposed approach allows the identification of all compounds, found in very different proportions and, sometimes, in trace amounts. Furthermore, the relevant spectral signatures for which no match is found in the reference database can be identified at a later stage and the nature of the corresponding compounds further investigated. Overall, the provided results show that Raman hyperspectral imaging combined with PBI enables rapid and reliable spectral identification of complex pharmaceutical formulations.Show less >
Show more >Hyperspectral imaging has been widely used for different kinds of applications and many chemometric tools have been developed to help identifying chemical compounds. However, most of those tools rely on factorial decomposition techniques that can be challenging for large data sets and/or in the presence of minor compounds. The present study proposes a pixel-based identification (PBI) approach that allows readily identifying spectral signatures in Raman hyperspectral imaging data. This strategy is based on the identification of essential spectral pixels (ESP), which can be found by convex hull calculation. As the corresponding set of spectra is largely reduced and encompasses the purest spectral signatures, direct database matching and identification can be reliably and rapidly performed. The efficiency of PBI was evaluated on both known and unknown samples, considering genuine and falsified pharmaceutical tablets. We showed that it is possible to analyze a wide variety of pharmaceutical formulations of increasing complexity (from 5 to 0.1% (w/w) of polymorphic impurity detection) for medium (150 x 150 pixels) and big (1000 x 1000 pixels) map sizes in less than 2 min. Moreover, in the case of falsified medicines, it is demonstrated that the proposed approach allows the identification of all compounds, found in very different proportions and, sometimes, in trace amounts. Furthermore, the relevant spectral signatures for which no match is found in the reference database can be identified at a later stage and the nature of the corresponding compounds further investigated. Overall, the provided results show that Raman hyperspectral imaging combined with PBI enables rapid and reliable spectral identification of complex pharmaceutical formulations.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CNRS
CNRS
Collections :
Submission date :
2024-02-28T22:43:44Z
2024-03-18T12:46:18Z
2024-03-18T12:46:18Z