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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,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539681/ https://www.ncbi.nlm.nih.gov/pubmed/31067700 http://dx.doi.org/10.3390/molecules24091764 |
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author | Palaric, Cécile Molinié, Roland Cailleu, Dominique Fontaine, Jean-Xavier Mathiron, David Mesnard, François Gut, Yoann Renaud, Tristan Petit, Alain Pilard, Serge |
author_facet | Palaric, Cécile Molinié, Roland Cailleu, Dominique Fontaine, Jean-Xavier Mathiron, David Mesnard, François Gut, Yoann Renaud, Tristan Petit, Alain Pilard, Serge |
author_sort | Palaric, Cécile |
collection | PubMed |
description | 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(E)) 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). |
format | Online Article Text |
id | pubmed-6539681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65396812019-05-31 A Deeper Investigation of Drug Degradation Mixtures Using a Combination of MS and NMR Data: Application to Indapamide Palaric, Cécile Molinié, Roland Cailleu, Dominique Fontaine, Jean-Xavier Mathiron, David Mesnard, François Gut, Yoann Renaud, Tristan Petit, Alain Pilard, Serge Molecules Article 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(E)) 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). MDPI 2019-05-07 /pmc/articles/PMC6539681/ /pubmed/31067700 http://dx.doi.org/10.3390/molecules24091764 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Palaric, Cécile Molinié, Roland Cailleu, Dominique Fontaine, Jean-Xavier Mathiron, David Mesnard, François Gut, Yoann Renaud, Tristan Petit, Alain Pilard, Serge A Deeper Investigation of Drug Degradation Mixtures Using a Combination of MS and NMR Data: Application to Indapamide |
title | A Deeper Investigation of Drug Degradation Mixtures Using a Combination of MS and NMR Data: Application to Indapamide |
title_full | A Deeper Investigation of Drug Degradation Mixtures Using a Combination of MS and NMR Data: Application to Indapamide |
title_fullStr | A Deeper Investigation of Drug Degradation Mixtures Using a Combination of MS and NMR Data: Application to Indapamide |
title_full_unstemmed | A Deeper Investigation of Drug Degradation Mixtures Using a Combination of MS and NMR Data: Application to Indapamide |
title_short | A Deeper Investigation of Drug Degradation Mixtures Using a Combination of MS and NMR Data: Application to Indapamide |
title_sort | deeper investigation of drug degradation mixtures using a combination of ms and nmr data: application to indapamide |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539681/ https://www.ncbi.nlm.nih.gov/pubmed/31067700 http://dx.doi.org/10.3390/molecules24091764 |
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