Exploring Ion Mobility Mass Spectrometry Data File Conversions to Leverage Existing Tools and Enable New Workflows.

all ions IM/MS fragmentation data-dependent acquisition (DDA) data-independent acquisition (DIA) ion mobility mobility aligned fragmentation (MAF) preprocessing software

Journal

Journal of the American Society for Mass Spectrometry
ISSN: 1879-1123
Titre abrégé: J Am Soc Mass Spectrom
Pays: United States
ID NLM: 9010412

Informations de publication

Date de publication:
26 Jul 2024
Historique:
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 26 7 2024
Statut: aheadofprint

Résumé

Ion mobility (IM) is often combined with LC-MS experiments to provide an additional dimension of separation for complex sample analysis. While highly complex samples are better characterized by the full dimensionality of LC-IM-MS experiments to uncover new information, downstream data analysis workflows are often not equipped to properly mine the additional IM dimension. For many samples the data acquisition benefits of including IM separations are all that is necessary to uncover sample information and the full dimensionality of the data is not required for data analysis. Postacquisition reduction and adaptation of the dimensions of LC-IM-MS and IM-MS experiments into an LC-MS format opens the possibility to use a plethora of existing software tools. In this work, we developed data file conversion tools to reduce the complexity of IM data analysis. Three data file transformations are introduced in the PNNL PreProcessor software: (1) mapping the IM axis to the LC axis for IM-MS data, (2) converting the drift time vs

Identifiants

pubmed: 39056469
doi: 10.1021/jasms.4c00220
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Sarah M Stow (SM)

Agilent Technologies, Santa Clara, California 95051, United States.

Bryson C Gibbons (BC)

Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.

Leonard C Rorrer Iii (LC)

MOBILion Systems, Chadds Ford, Pennsylvania 19317, United States.

Lauren Royer (L)

MOBILion Systems, Chadds Ford, Pennsylvania 19317, United States.

Rebecca S Glaskin (RS)

Agilent Technologies, Santa Clara, California 95051, United States.

Gordon W Slysz (GW)

Agilent Technologies, Santa Clara, California 95051, United States.

Ruwan T Kurulugama (RT)

Agilent Technologies, Santa Clara, California 95051, United States.

John C Fjeldsted (JC)

Agilent Technologies, Santa Clara, California 95051, United States.

Daniel DeBord (D)

MOBILion Systems, Chadds Ford, Pennsylvania 19317, United States.

Aivett Bilbao (A)

Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.

Classifications MeSH