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dc.contributor.author
Oberacher, Herbert
dc.contributor.author
Reinstadler, Vera
dc.contributor.author
Kreidl, Marco
dc.contributor.author
Stravs, Michael A.
dc.contributor.author
Hollender, Juliane
dc.contributor.author
Schymanski, Emma L.
dc.date.accessioned
2019-02-08T14:05:17Z
dc.date.available
2019-02-01T04:46:08Z
dc.date.available
2019-02-08T14:05:17Z
dc.date.issued
2019-01
dc.identifier.issn
2218-1989
dc.identifier.other
10.3390/metabo9010003
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/322317
dc.identifier.doi
10.3929/ethz-b-000322317
dc.description.abstract
Tandem mass spectral databases are indispensable for fast and reliable compound identification in nontargeted analysis with liquid chromatography–high resolution tandem mass spectrometry (LC-HRMS/MS), which is applied to a wide range of scientific fields. While many articles now review and compare spectral libraries, in this manuscript we investigate two high-quality and specialized collections from our respective institutes, recorded on different instruments (quadrupole time-of-flight or QqTOF vs. Orbitrap). The optimal range of collision energies for spectral comparison was evaluated using 233 overlapping compounds between the two libraries, revealing that spectra in the range of CE 20–50 eV on the QqTOF and 30–60 nominal collision energy units on the Orbitrap provided optimal matching results for these libraries. Applications to complex samples from the respective institutes revealed that the libraries, combined with a simple data mining approach to retrieve all spectra with precursor and fragment information, could confirm many validated target identifications and yield several new Level 2a (spectral match) identifications. While the results presented are not surprising in many ways, this article adds new results to the debate on the comparability of Orbitrap and QqTOF data and the application of spectral libraries to yield rapid and high-confidence tentative identifications in complex human and environmental samples.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
MDPI
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Nontarget analysis
en_US
dc.subject
Liquid Chromatography Mass Spectrometry
en_US
dc.subject
Compound identification
en_US
dc.subject
tandem mass spectral library
en_US
dc.subject
Forensics
en_US
dc.subject
wastewater
en_US
dc.title
Annotating nontargeted lc-hrms/ms data with two complementary tandem mass spectral libraries
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2018-12-23
ethz.journal.title
Metabolites
ethz.journal.volume
9
en_US
ethz.journal.issue
1
en_US
ethz.pages.start
3
en_US
ethz.size
15 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2019-02-01T04:46:11Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-02-08T14:05:25Z
ethz.rosetta.lastUpdated
2023-02-06T16:50:22Z
ethz.rosetta.versionExported
true
ethz.COinS
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