GEONs API fingerprint project: Selection of analytical techniques for clustering of sildenafil citrate API samples

Autor: K. Brezovska, M.J. Portela, J. Acevska, Y. Grange, A. Mihailova, K. Pioruńska-Sędłak, J.K. Maurin, M. Raimondo, L. Stengelshøj Olsen, Eric Deconinck, T. Rundlöf, P. Courselle, M. Bertrand, H. Rebiere, O. Bøyum
Rok vydání: 2022
Předmět:
Zdroj: Talanta. 239:123123
ISSN: 0039-9140
DOI: 10.1016/j.talanta.2021.123123
Popis: Through its Active Pharmaceutical Ingredient Working Group (API-WG) the General European Official Medicines Control Laboratory (OMCL) Network (GEON), co-ordinated by the European Directorate for the Quality of Medicines & HealthCare (EDQM), regularly organises market surveillance studies for specific APIs for conformity to their monograph in the European Pharmacopoeia. During the past years some studies were combined with a fingerprint study of the APIs. The idea is to obtain a fingerprint for each manufacturer of the API under investigation, allowing the OMCL network to identify future samples as well as to detect substandard and falsified APIs. This paper reports the results of the latest fingerprint study, organised on sildenafil citrate API samples. Seventy-nine samples from 14 different manufacturers were collected throughout the Network. Fingerprint data was collected through Mid-Infrared spectroscopy, Raman spectroscopy, liquid chromatography for related substances, gas chromatography for residual solvents, X-ray diffraction and Nuclear Magnetic Resonance (NMR) spectroscopy. Chemometrics applied to the collected data showed that all manufacturers could be discriminated based on the data of only three of these tests, i.e. gas chromatography for residual solvents, X-ray diffraction and proton NMR. Suspicious API samples for sildenafil citrate will therefore be analysed in the future with the selected techniques in order to link the sample to a manufacturer or demonstrate the absence of such link. If the sample cannot be attributed to one of the manufacturers, further analysis and research on provenance and identity will be required. Of course, if the suspected sample claims to originate from one of the manufacturers included in the study, analysis can be limited to the test distinguishing this manufacturer.
Databáze: OpenAIRE
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