Open AccessChallenges in ESI-MS-based Untargeted Metabolomics
Author(s) -
Serge Rudaz,
Elena Tobolkina,
Víctor GonzálezRuiz,
Isabel Meister,
Miguel de Figueiredo,
Davy Guillarme,
Julien Bernard
Publication year - 2022
Publication title -
chimia
Language(s) - English
Resource type - Journals
eISSN - 2673-2424
pISSN - 0009-4293
DOI - 10.2533/chimia.2022.90
Subject(s) - metabolomics , context (archaeology) , computer science , data science , computational biology , biochemical engineering , bioinformatics , biology , engineering , paleontology
Untargeted metabolomics is now widely recognized as a useful tool for exploring metabolic changes taking place in biological systems under different conditions. In this article, we aim to provide a short overview of the liquid-phase separation methods hyphenated to MS to perform untargeted metabolomics of biological samples. Each approach is complemented by up-to-date literature to guide readers, as well as practical information for avoiding or fixing some of the most frequently encountered pitfalls. This article covers mainly data acquisition, but a short discussion is provided regarding signal processing and data treatment, as well as data analysis and its biological interpretation in the context of metabolomic studies.