A Deeper Investigation of Drug Degradation Mixtures Using a Combination of MS and NMR Data: Application to Indapamide

A global approach that is based on a combination of mass spectrometry (MS) and nuclear magnetic resonance (NMR) data has been developed for a complete and rapid understanding of drug degradation mixtures. We proposed a workflow based on a sample preparation protocol that is compatible to MS and NMR,...

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Bibliographic Details
Published in:Molecules (Basel, Switzerland) Switzerland), 2019-05, Vol.24 (9), p.1764
Main Authors: Palaric, Cécile, Molinié, Roland, Cailleu, Dominique, Fontaine, Jean-Xavier, Mathiron, David, Mesnard, François, Gut, Yoann, Renaud, Tristan, Petit, Alain, Pilard, Serge
Format: Article
Language:English
Subjects:
Acidic oxides
Biotransformation
Chemical Sciences
Chromatography
Degradation products
Drug development
Experiments
forced degradations
Impurities
Indapamide
Ionic mobility
Low level
Mass spectrometry
Mass spectroscopy
NMR
Nuclear magnetic resonance
NUS
Pharmaceutical industry
PLS
Sample preparation
Scientific imaging
Spectroscopy
UPLC-UV-HDMSE
Workflow
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Summary:A global approach that is based on a combination of mass spectrometry (MS) and nuclear magnetic resonance (NMR) data has been developed for a complete and rapid understanding of drug degradation mixtures. We proposed a workflow based on a sample preparation protocol that is compatible to MS and NMR, the selection of the most appropriate experiments for each technique, and the implementation of prediction software and multivariable analysis method for a better interpretation and correlation of MS and NMR spectra. We have demonstrated the efficient quantification of the remaining active pharmaceutical ingredient (API). The unambiguous characterization of degradation products (DPs) was reached while using the potential of ion mobility-mass spectrometry (IM-MS) for fragment ions filtering (HDMS ) and the implementation of two-dimensional (2D) NMR experiments with the non-uniform sampling (NUS) method. We have demonstrated the potential of quantitative NMR (qNMR) for the estimation of low level DPs. Finally, in order to simultaneously monitor multi-samples, the contribution of partial least squares (PLS) regression was evaluated. Our methodology was tested on three indapamide forced degradation conditions (acidic, basic, and oxidative) and it could be easily transposed in the drug development field to assist in the interpretation of complex mixtures (stability studies, impurities profiling, and biotransformation screening).
ISSN:1420-3049
1420-3049
DOI:10.3390/molecules24091764