Modular comparison of untargeted metabolomics processing steps
This work provides an overview of commonly applied strategies in untargeted metabolomics analysis, emphasizing the importance of careful workflow selection and optimization. It serves as a resource for refining data processing strategies to achieve accurate and reliable results, while also offering fresh insights into the challenges encountered throughout the untargeted metabolomics processing pipeline.
Authors
- Qendrim Zebeli (ORCID: https://orcid.org/0000-0001-5188-9004)
- Franz Berthiller (ORCID: https://orcid.org/0000-0001-5883-2879)
- Sara Ricci (ORCID: https://orcid.org/0000-0002-0117-9407)
- Ezequias Castillo‐Lopez (ORCID: https://orcid.org/0000-0002-9304-2351)
- Heidi Schwartz (ORCID: https://orcid.org/0000-0003-2897-7991)
- Raul Rivera‐Chacon (ORCID: https://orcid.org/0000-0001-7384-4915)
- Markus Aigensberger (ORCID: https://orcid.org/0009-0000-2516-9097)
- Christoph Bueschl (ORCID: https://orcid.org/0000-0003-1729-9785)
Institutions
- University of Veterinary Medicine Vienna (AT)
- Universitätsklinikum Tulln (AT)
- Christian Doppler Laboratory for Thermoelectricity (AT)
- BOKU University (AT)
Publication Details
- Journal
- Analytica Chimica Acta
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1016/j.aca.2024.343491
- Citations
- 10
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.34