2021
DOI: 10.1016/j.chroma.2021.462656
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Automated high confidence compound identification of electron ionization mass spectra for nontargeted analysis

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Cited by 7 publications
(2 citation statements)
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“…Since manual annotation still plays an important role in metabolomics studies, tools with user-friendly interfaces that support customized peak picking, feature template definition, peak alignment, and result visualization are desired [172]. A tool has been developed to facilitate the user's evaluation of the peak annotation [173]. Still, GC×GC-MS has its inherent limitations.…”
Section: Peak Annotationmentioning
confidence: 99%
“…Since manual annotation still plays an important role in metabolomics studies, tools with user-friendly interfaces that support customized peak picking, feature template definition, peak alignment, and result visualization are desired [172]. A tool has been developed to facilitate the user's evaluation of the peak annotation [173]. Still, GC×GC-MS has its inherent limitations.…”
Section: Peak Annotationmentioning
confidence: 99%
“…In Kiefer's study, an LC-HRMS in a data-dependent acquisition mode was used to obtain data in both positive and negative ionization modes to discover new pesticides and their transformation products (Takahashi et al 2018). Though its wide detection coverage and powerful resolution, the NTA method can be challenging from several perspectives, depending on the availability of chemical standards and mass spectra libraries (Bendik et al 2021;Dhungana et al n.d.;Ulrich et al 2019). Besides, NTA methods also suffer from limited sensitivity, complex data processing, and narrow linear range.…”
Section: Hr-ms-based Non-targeted Analysis Of Human Exposomementioning
confidence: 99%