Reference : Comparison of hyperspectral imaging techniques for the elucidation of falsified medic...
Scientific journals : Article
Human health sciences : Pharmacy, pharmacology & toxicology
http://hdl.handle.net/2268/232932
Comparison of hyperspectral imaging techniques for the elucidation of falsified medicines composition
English
Coic, Laureen* mailto [Université de Liège - ULiège > Département de pharmacie > Chimie analytique >]
Sacre, Pierre-Yves* mailto [Université de Liège - ULiège > Département de pharmacie > Chimie analytique >]
Dispas, Amandine mailto [Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments >]
sakira, Abdoul Karim []
Fillet, Marianne mailto [Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments >]
Marini Djang'Eing'A, Roland mailto [Université de Liège - ULiège > Département de pharmacie > Chimie analytique >]
Hubert, Philippe mailto [Université de Liège - ULiège > Département de pharmacie > Chimie analytique >]
Ziemons, Eric mailto [Université de Liège - ULiège > Département de pharmacie > Chimie analytique >]
* These authors have contributed equally to this work.
1-Jun-2019
Talanta
Elsevier
198
457-463
Yes (verified by ORBi)
International
0039-9140
1873-3573
Netherlands
[en] FT-IR spectroscopy ; Raman spectroscopy ; Hyperspectral imaging ; Falsification ; Antimalarial
[en] Hyperspectral imaging has shown a high potential to analyze falsifications of solid pharmaceutical products since the last decade. Thanks to the non-destructive, ecological and non-invasive properties, it is a preferred technique for these kinds of applications. Moreover, thanks to the spectroscopic properties, it is possible to detect as well organic compounds as inorganic compounds in a single analysis. Therefore, we recommend using it as second-line laboratory analysis technique. Raman microscopy and Fourier Transform Infrared (FT-IR) microscopy are two interesting techniques that are complementary. In this study, the potential of the two hyperspectral imaging techniques is evaluated to elucidate the composition of falsified antimalarial tablets. Hyperspectral data are analyzed by Multivariate Curve Resolution-Alternating Least Square (MCR-ALS). The results obtained from this study show that Raman hyperspectral imaging seems to be more suited to detect low dosed compounds possibly due to a smallest sampling volume. It has been also possible to link formulations of falsified samples of two different brands.
Centre Interdisciplinaire de Recherche sur le Médicament - CIRM
Fonds Européen de Développement Régional - FEDER ; Région wallonne : Direction générale des Technologies, de la Recherche et de l'Energie - DGTRE
FEDER-PHARE
Researchers
http://hdl.handle.net/2268/232932
10.1016/j.talanta.2019.02.032

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