Optimizing filamentous fungi identification by MALDI-TOF MS: A comparative analysis of key factors
The combination of the Sirius One system, MSI-2.0 database, and on-plate extraction method provides a highly effective and time-efficient workflow for the identification of filamentous fungi in routine clinical diagnostics, reaching 94.1% accuracy. This approach is recommended for implementation in clinical mycology laboratories, though further optimization of manufacturer-supplied databases remains necessary.
Authors
- Silvia Botero-Kleiven
- Volkan Özenci (ORCID: https://orcid.org/0000-0002-8069-4027)
- Özlem Doğan (ORCID: https://orcid.org/0000-0003-3078-999X)
- Sultan Ahmed (ORCID: https://orcid.org/0009-0000-0347-8198)
- C. Serra
- John White (ORCID: https://orcid.org/0000-0001-7895-4443)
- Büsra Betül Özmen‐Capin
Institutions
- Karolinska University Hospital (SE)
- Koç University (TR)
- University of Perugia (IT)
- Karolinska Institutet (SE)
Publication Details
- Journal
- European Journal of Clinical Microbiology & Infectious Diseases
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1007/s10096-025-05316-0
- Citations
- 2
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 2.64