In-Electrospray source Hydrogen/Deuterium exchange coupled to multistage fragmentation for the investigation of the protonation and fragmentation pathways of gas phase ions.

H/D exchange MSn fragmentation fragmentation trees isotopic labeling mass spectrometry quantum chemistry

Journal

Journal of mass spectrometry : JMS
ISSN: 1096-9888
Titre abrégé: J Mass Spectrom
Pays: England
ID NLM: 9504818

Informations de publication

Date de publication:
Jun 2024
Historique:
received: 01 03 2024
accepted: 02 04 2024
medline: 13 5 2024
pubmed: 13 5 2024
entrez: 13 5 2024
Statut: ppublish

Résumé

Identification of molecules in complex natural matrices relies on matching the fragmentation spectra of ions under investigation and the spectra acquired for the corresponding analytical standards. Currently, there are many databases of experimentally measured tandem mass spectrometry spectra (such as NIST, MzCloud, and Metlin), and considerable progress has been made in the development of software for predicting tandem mass spectrometry fragments in silico using combinatorial, machine learning, and quantum chemistry approaches (such as MetFrag, CFM-ID, and QCxMS). However, the electrospray ionization molecules can be ionized at different sites (protonated or deprotonated), and the fragmentation spectra of such ions are different. Here, we are using the combination of the in-ESI source hydrogen/deuterium exchange reaction and MS

Identifiants

pubmed: 38736146
doi: 10.1002/jms.5032
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e5032

Subventions

Organisme : Russian Scientific Foundation
ID : 18-79-10127

Informations de copyright

© 2024 John Wiley & Sons Ltd.

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Auteurs

Yury Kostyukevich (Y)

Skolkovo Institute of Science and Technology, Moscow, Russia.

Sergey Osipenko (S)

Skolkovo Institute of Science and Technology, Moscow, Russia.

Liudmila Borisova (L)

Higher School of Economics, Moscow, Russia.

Albert Kireev (A)

Skolkovo Institute of Science and Technology, Moscow, Russia.

Classifications MeSH