Home
Deutsch
Advanced Search
Browse by ...
Publication overview
Contact persons
Help
Postprint
DOI
PMC
 |
Open Access Green |
as soon as is submitted to ZB.
Current status of retention time prediction in metabolite identification.
J. Sep. Sci. 43, 1746-1754 (2020)
Metabolite identification is a crucial step in nontargeted metabolomics, but also represents one of its current bottlenecks. Accurate identifications are required for correct biological interpretation. To date, annotation and identification are usually based on the use of accurate mass search or tandem mass spectrometry analysis, but neglect orthogonal information such as retention times obtained by chromatographic separation. While several tools are available for the analysis and prediction of tandem mass spectrometry data, prediction of retention times for metabolite identification are not widespread. Here, we review the current state of retention time prediction in liquid chromatography-mass spectrometry-based metabolomics, with a focus on publications published after 2010.
Altmetric
Additional Metrics?
Edit extra informations
Login
Publication type
Article: Journal article
Document type
Review
Keywords
Liquid Chromatography ; Mass Spectrometry ; Metabolite Identification ; Metabolomics ; Retention Time Prediction; Chromatography-mass-spectrometry; Liquid-chromatography; Gas-chromatography; Metabolomics Data; Annotation; Repository; Standards; Tool
ISSN (print) / ISBN
1615-9306
e-ISSN
1615-9314
Journal
Journal of Separation Science
Quellenangaben
Volume: 43,
Issue: 9-10,
Pages: 1746-1754
Publisher
Wiley
Publishing Place
Postfach 101161, 69451 Weinheim, Germany
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Research Unit Analytical BioGeoChemistry (BGC)