I-dOne: A diagnostic tool in the field of identification of clinically relevant microbial strains
This study evaluates the performance of I-dOne, the first CE-IVD marked software for microbial species identification based on Attenuated Total Reflection Fourier Transform Infrared Spectroscopy (ATR-FTIR) and compares its results with MALDI-TOF MS technology (Vitek MS, bioMérieux). A total of 410 clinical isolates were analyzed, spanning 45 species and 24 genera. I-dOne demonstrated a high agreement rate (97.3 %) with the Vitek MS, meeting CLSI standard for microbial identification accuracy. Additionally, this study explored the development of a novel algorithm within I-dOne to discriminate between Bacteroides fragilis and Bacteroides ovatus strains, overcoming the current limitations in species-level differentiation. Finally, the influence of ageing under prolonged aerobic exposure on ATR-FTIR profiles was investigated, highlighting no significant spectral changes in Bacteroides fragilis strains under prolonged aerobic exposure. These findings underscore the accuracy of I-dOne software in microbial identification, offering a reliable alternative to conventional methods.
Authors
- Agostino Ognibene (ORCID: https://orcid.org/0000-0001-5287-4250)
- Giulio Camarlinghi (ORCID: https://orcid.org/0000-0002-5798-9206)
- Eva Maria Parisio (ORCID: https://orcid.org/0000-0002-2883-669X)
Institutions
- Ospedale San Donato (IT)
- Azienda Usl Toscana Centro (IT)
Publication Details
- Journal
- Journal of Microbiological Methods
- Published
- 2024-12-24
- DOI
- https://doi.org/10.1016/j.mimet.2024.107083
- Citations
- 1
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.38