Camarlinghi Giulio, Parisio Eva Maria, Ognibene Agostino
Microbiology Unit, San Donato Hospital USL Toscana Sudest, Arezzo, Italy.
Operative Unit of Chemical-Clinical Analysis, San Donato Hospital USL Toscana Sudest, Arezzo, Italy.
J Microbiol Methods. 2025 Jan;228:107083. doi: 10.1016/j.mimet.2024.107083. Epub 2024 Dec 24.
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.
本研究评估了首款获得CE-IVD认证的基于衰减全反射傅里叶变换红外光谱（ATR-FTIR）的微生物物种鉴定软件I-dOne的性能，并将其结果与基质辅助激光解吸电离飞行时间质谱技术（Vitek MS，生物梅里埃公司）进行比较。共分析了410株临床分离株，涵盖45个物种和24个属。I-dOne与Vitek MS的符合率较高（97.3%），达到了CLSI微生物鉴定准确性标准。此外，本研究探索了I-dOne中一种新型算法的开发，以区分脆弱拟杆菌和卵形拟杆菌菌株，克服了当前物种水平鉴别中的局限性。最后，研究了长时间有氧暴露下老化对ATR-FTIR图谱的影响，结果表明长时间有氧暴露下脆弱拟杆菌菌株的光谱没有显著变化。这些发现强调了I-dOne软件在微生物鉴定中的准确性，为传统方法提供了可靠的替代方案。
