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.

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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
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article

I-dOne: A diagnostic tool in the field of identification of clinically relevant microbial strains

Agostino Ognibene, Giulio Camarlinghi, Eva Maria Parisio
1 citations
Journal of Microbiological Methods
Bacterial Identification and Susceptibility Testing
0.38
article

I-dOne: A diagnostic tool in the field of identification of clinically relevant microbial strains

Agostino Ognibene, Giulio Camarlinghi, Eva Maria Parisio
article en
1 citations

Abstract

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.

Journal of Microbiological MethodsVol. 228
Ospedale San Donato (IT), Azienda Usl Toscana Centro (IT)
Zero hunger
Openalex Percentile: Top 32%
Bacterial Identification and Susceptibility Testing
0.38
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I-dOne: A diagnostic tool in the field of identification of clinically relevant microbial strains — Agostino Ognibene, Giulio Camarlinghi, et al. · Journal of Microbiological Methods (2024) | TGRS Research Map | TGRS