Triple acquisition mass spectrometry (TRAM) combining targeted and non-targeted metabolomics in a single run
Acquiring up to 30 data-dependent spectra per MS cycle while still offering gold standard absolute quantification down to low nanomolar concentrations, TRAM allows in-depth profiling and reduces required sample volume, time, cost, and environmental impact.
Authors
- Gunda Koellensperger (ORCID: https://orcid.org/0000-0002-1460-4919)
- Dorian Hirschmann (ORCID: https://orcid.org/0000-0002-9886-0003)
- Marlene Pühringer (ORCID: https://orcid.org/0000-0002-2364-0102)
- Daniela Loetsch
- Harald Schoeny (ORCID: https://orcid.org/0000-0001-8696-481X)
- Evelyn Rampler (ORCID: https://orcid.org/0000-0002-9429-7663)
- Christian Dorfer (ORCID: https://orcid.org/0000-0002-1843-7732)
- Lisa Panzenboeck (ORCID: https://orcid.org/0000-0001-6694-3499)
- Marvin Glas
- Elisabeth Foels (ORCID: https://orcid.org/0009-0007-7715-4373)
- B. Stelzer
Institutions
- University of Vienna (AT)
- Boehringer Ingelheim (Austria) (AT)
- Medical University of Vienna (AT)
Publication Details
- Journal
- Analytica Chimica Acta
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1016/j.aca.2024.343314
- Citations
- 1
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- Austrian Science Fund
- Magistrat der Stadt Wien