Abstract:Targeted,
untargeted, and data-independent acquisition (DIA) metabolomics
workflows are often hampered by ambiguous identification based on
either MS1 information alone or relatively few MS2 fragment ions.
While DIA methods have been popularized in proteomics, it is less
clear whether they are suitable for metabolomics workflows due to
their large precursor isolation windows and complex coisolation patterns.
Here, we quantitatively investigate the conditions necessary for unique
metabolite detection in complex… Show more
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