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      A tutorial in small molecule identification via electrospray ionization‐mass spectrometry: The practical art of structural elucidation

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          Abstract

          The identification of unknown molecules has been one of the cornerstone applications of mass spectrometry for decades. This tutorial reviews the basics of the interpretation of electrospray ionization‐based MS and MS/MS spectra in order to identify small‐molecule analytes (typically below 2000 Da). Most of what is discussed in this tutorial also applies to other atmospheric pressure ionization methods like atmospheric pressure chemical/photoionization. We focus primarily on the fundamental steps of MS‐based structural elucidation of individual unknown compounds, rather than describing strategies for large‐scale identification in complex samples. We critically discuss topics like the detection of protonated and deprotonated ions ([M + H] + and [M − H] ) as well as other adduct ions, the determination of the molecular formula, and provide some basic rules on the interpretation of product ion spectra. Our tutorial focuses primarily on the fundamental steps of MS‐based structural elucidation of individual unknown compounds (eg, contaminants in chemical production, pharmacological alteration of drugs), rather than describing strategies for large‐scale identification in complex samples. This tutorial also discusses strategies to obtain useful orthogonal information (UV/Vis, H/D exchange, chemical derivatization, etc) and offers an overview of the different informatics tools and approaches that can be used for structural elucidation of small molecules. It is primarily intended for beginning mass spectrometrists and researchers from other mass spectrometry sub‐disciplines that want to get acquainted with structural elucidation are interested in some practical tips and tricks.

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          Most cited references126

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          MassBank: a public repository for sharing mass spectral data for life sciences.

          MassBank is the first public repository of mass spectra of small chemical compounds for life sciences (<3000 Da). The database contains 605 electron-ionization mass spectrometry (EI-MS), 137 fast atom bombardment MS and 9276 electrospray ionization (ESI)-MS(n) data of 2337 authentic compounds of metabolites, 11 545 EI-MS and 834 other-MS data of 10,286 volatile natural and synthetic compounds, and 3045 ESI-MS(2) data of 679 synthetic drugs contributed by 16 research groups (January 2010). ESI-MS(2) data were analyzed under nonstandardized, independent experimental conditions. MassBank is a distributed database. Each research group provides data from its own MassBank data servers distributed on the Internet. MassBank users can access either all of the MassBank data or a subset of the data by specifying one or more experimental conditions. In a spectral search to retrieve mass spectra similar to a query mass spectrum, the similarity score is calculated by a weighted cosine correlation in which weighting exponents on peak intensity and the mass-to-charge ratio are optimized to the ESI-MS(2) data. MassBank also provides a merged spectrum for each compound prepared by merging the analyzed ESI-MS(2) data on an identical compound under different collision-induced dissociation conditions. Data merging has significantly improved the precision of the identification of a chemical compound by 21-23% at a similarity score of 0.6. Thus, MassBank is useful for the identification of chemical compounds and the publication of experimental data. 2010 John Wiley & Sons, Ltd.
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            METLIN: a metabolite mass spectral database.

            Endogenous metabolites have gained increasing interest over the past 5 years largely for their implications in diagnostic and pharmaceutical biomarker discovery. METLIN (http://metlin.scripps.edu), a freely accessible web-based data repository, has been developed to assist in a broad array of metabolite research and to facilitate metabolite identification through mass analysis. METLINincludes an annotated list of known metabolite structural information that is easily cross-correlated with its catalogue of high-resolution Fourier transform mass spectrometry (FTMS) spectra, tandem mass spectrometry (MS/MS) spectra, and LC/MS data.
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              XCMS Online: a web-based platform to process untargeted metabolomic data.

              Recently, interest in untargeted metabolomics has become prevalent in the general scientific community among an increasing number of investigators. The majority of these investigators, however, do not have the bioinformatic expertise that has been required to process metabolomic data by using command-line driven software programs. Here we introduce a novel platform to process untargeted metabolomic data that uses an intuitive graphical interface and does not require installation or technical expertise. This platform, called XCMS Online, is a web-based version of the widely used XCMS software that allows users to easily upload and process liquid chromatography/mass spectrometry data with only a few mouse clicks. XCMS Online provides a solution for the complete untargeted metabolomic workflow including feature detection, retention time correction, alignment, annotation, statistical analysis, and data visualization. Results can be browsed online in an interactive, customizable table showing statistics, chromatograms, and putative METLIN identities for each metabolite. Additionally, all results and images can be downloaded as zip files for offline analysis and publication. XCMS Online is available at https://xcmsonline.scripps.edu.
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                Author and article information

                Contributors
                tdevijld@its.jnj.com
                Journal
                Mass Spectrom Rev
                Mass Spectrom Rev
                10.1002/(ISSN)1098-2787
                MAS
                Mass Spectrometry Reviews
                John Wiley and Sons Inc. (Hoboken )
                0277-7037
                1098-2787
                09 November 2017
                Sep-Oct 2018
                : 37
                : 5 ( doiID: 10.1002/mas.v37.5 )
                : 607-629
                Affiliations
                [ 1 ] Pharmaceutical Development & Manufacturing Sciences (PDMS) Janssen Research & Development Beerse Belgium
                [ 2 ] Interuniversity Institute for Biostatistics and Statistical Bioinformatics Hasselt University Diepenbeek Belgium
                [ 3 ] Center for Proteomics (CFP) University of Antwerp Antwerp Belgium
                [ 4 ] Flemish Institute for Technological Research (VITO) Mol Belgium
                [ 5 ] Department of Chemistry, Biomolecular and Analytical Mass Spectrometry University of Antwerp Antwerp Belgium
                [ 6 ] Department of Mathematics and Computer Science, Advanced Database Research and Modelling (ADReM) University of Antwerp Antwerp Belgium
                [ 7 ] Biomedical Informatics Network Antwerp (Biomina) University of Antwerp Antwerp Belgium
                [ 8 ] Pharmacokinetics, Dynamics & Metabolism Janssen Research & Development Beerse Belgium
                Author notes
                [*] [* ] Correspondence

                Thomas De Vijlder, Janssen Pharmaceutica NV, Turnhoutseweg 30, 2340 Beerse, Belgium.

                Email: tdevijld@ 123456its.jnj.com

                Article
                MAS21551
                10.1002/mas.21551
                6099382
                29120505
                b9f4d451-f67c-4ac6-af08-e6d89fd1064f
                © 2017 The Authors. Mass Spectrometry Reviews Published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 03 October 2017
                : 03 October 2017
                Page count
                Figures: 7, Tables: 3, Pages: 23, Words: 16633
                Funding
                Funded by: VlAIO (Vlaams Agentschap Innovatie & Ondernemen)
                Award ID: HBC.2016.0890
                Categories
                Review Article
                Review Articles
                Custom metadata
                2.0
                mas21551
                September/October 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.4.4 mode:remove_FC converted:20.08.2018

                atmospheric pressure ionization,electrospray ionization,identification,ms/ms,small molecules,structural elucidation

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