2019
DOI: 10.1021/acs.analchem.9b02461
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Hydrogen/Deuterium Exchange Aiding Compound Identification for LC-MS and MALDI Imaging Lipidomics

Abstract: We present a novel approach for the increasing reliability of compound identification for LC-MS and MALDI imaging lipidomics. Our approach is based on the characterization of compounds not only by the elution time, accurate mass, and fragmentation spectra but also by the number of labile hydrogens that can be measured using the hydrogen/deuterium (H/D) exchange approach. The number of labile hydrogens (those from −OH and −NH groups) serves as an additional structural descriptor used when performing a database … Show more

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Cited by 21 publications
(31 citation statements)
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“…The H/D exchange occurredin both the gas phase and—due to the penetration of moisture into the droplets [ 30 ]—in the liquid phase. The details of the ion source design, as well as its applicationsfor investigating various compounds, can be found in our previous publications [ 6 ].…”
Section: Methodsmentioning
confidence: 99%
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“…The H/D exchange occurredin both the gas phase and—due to the penetration of moisture into the droplets [ 30 ]—in the liquid phase. The details of the ion source design, as well as its applicationsfor investigating various compounds, can be found in our previous publications [ 6 ].…”
Section: Methodsmentioning
confidence: 99%
“…The primary exchangeable groups are −OH, −COOH, −NH, and −SH. However, it is possible to achieve the exchange in electron-enriched sections of the aromatic ring by using high temperature or acid/base catalysis [ 6 ].…”
Section: Introductionmentioning
confidence: 99%
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“… 16 , 17 Others have sought to build on this information by adding external complementary data, such as measurement of collisional cross section, 10 or labile hydrogen counting, among others. 18 All of these methods show great promise but share in the common theme that they incorporate lipid chemical properties into their identification inference.…”
mentioning
confidence: 99%
“…Two basic approaches are used for these purposes: (1) the creation of predefined MSI maps and (2) complex analysis , of MS map data, including, but not limited to, machine learning (ML), clustering, and classification. The results of such analyses are usually compared with histological data for validation and biological interpretation.…”
mentioning
confidence: 99%