Automatic Identification of Lansoprazole Degradants under Stress Conditions by LC-HRMS with MassChemSite and WebChembase.


Journal

Journal of chemical information and modeling
ISSN: 1549-960X
Titre abrégé: J Chem Inf Model
Pays: United States
ID NLM: 101230060

Informations de publication

Date de publication:
28 06 2021
Historique:
pubmed: 2 6 2021
medline: 10 8 2021
entrez: 1 6 2021
Statut: ppublish

Résumé

Stress testing is one of the most important parts of the drug development process, helping to foresee stability problems and to identify degradation products. One of the processes involving stress testing is represented by forced degradation studies, which can predict the impact of certain conditions of pH, moisture, heat, or other negative effects due to transportation or packaging issues on drug potency and purity, ensuring patient safety. Regulatory agencies have been working on a standardization of laboratory procedures since the past two decades. One of the results of those years of intensive research is the International Conference on Harmonization (ICH) guidelines, which clearly define which forced degradation studies should be performed on new drugs, which become a routine work in pharmaceutical laboratories. Since used techniques based on high-performance liquid chromatography coupled with high-resolution mass spectrometry have been developed years ago and are now mastered by pharmaceutical scientists, automation of data analysis, and thus data processing, is becoming a hot topic nowadays. In this work, we present MassChemSite and WebChembase as a tandem to automatize the routine analysis studies without missing information quality, using as a case study the degradation of lansoprazole under acidic, oxidative, basic, and neutral stress conditions.

Identifiants

pubmed: 34061520
doi: 10.1021/acs.jcim.1c00226
doi:

Substances chimiques

Lansoprazole 0K5C5T2QPG

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2706-2719

Auteurs

Stefano Bonciarelli (S)

Department of Chemistry, Biology and Biotechnology, University of Perugia, Via Elce di Sotto 8, 06123 Perugia, Italy.

Jenny Desantis (J)

Department of Chemistry, Biology and Biotechnology, University of Perugia, Via Elce di Sotto 8, 06123 Perugia, Italy.

Laura Goracci (L)

Department of Chemistry, Biology and Biotechnology, University of Perugia, Via Elce di Sotto 8, 06123 Perugia, Italy.

Lydia Siragusa (L)

Molecular Horizon SRL, Via Montelino 30, 06084 Bettona, Italy.

Ismael Zamora (I)

Lead Molecular Design, SL, Rambla del Celler 113 local, 08173 Sant Cugat del Vallès, Spain.

Elisabeth Ortega-Carrasco (E)

Lead Molecular Design, SL, Rambla del Celler 113 local, 08173 Sant Cugat del Vallès, Spain.

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Classifications MeSH