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A multi-technique analytical approach for impurity profiling during synthesis: The case of difluprednate.

Authors :
Sammut Bartolo N
Zoidis G
Gikas E
Benaki D
Ferrito V
Serracino-Inglott A
Source :
Journal of pharmaceutical and biomedical analysis [J Pharm Biomed Anal] 2020 Oct 25; Vol. 190, pp. 113483. Date of Electronic Publication: 2020 Jul 21.
Publication Year :
2020

Abstract

A methodology for the qualitative analysis of a mixture of compounds obtained during the synthesis of difluprednate is described herein for the first time. For this scope a multi-technique analytical approach was developed, combining Liquid Chromatography/Mass Spectrometry (LC/MS), Nuclear Magnetic Resonance (NMR) and computational chemistry. Separation of isomers is frequently required for the identification of impurities in active pharmaceutical ingredients (APIs) to assess the impact they may exhibit on public health. During the final step of the difluprednate synthesis apart from the desired product, various by-products may be obtained. Structural analysis of the products using LC/MS and NMR indicated that the steroid difluprednate was obtained along with its acetyl/butyryl regional isomers, whereas the results were further supported by semi-empirical calculations of the MS-derived data. Following the proposed approach, we managed to elucidate the structures of the challenging 11-acetate, 17-butyrate from the 17-acetate, 21-butyrate, 6α,9α-difluoro prednisolone isomers. The approach utilized may be of general applicability for the analysis of impurities in active pharmaceutical ingredients obtained during chemical synthesis.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2020 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-264X
Volume :
190
Database :
MEDLINE
Journal :
Journal of pharmaceutical and biomedical analysis
Publication Type :
Academic Journal
Accession number :
32814262
Full Text :
https://doi.org/10.1016/j.jpba.2020.113483