Franconi Iacopo, Fais Roberta, Giordano Cesira, Tuvo Benedetta, Stani Chiaramaria, Tavanti Arianna, Barnini Simona, Lupetti Antonella
Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37-39, 56127 Pisa, Italy.
SD Microbiology Bacteriology, Azienda Ospedaliero-Universitaria Pisana, 56126 Pisa, Italy.
J Fungi (Basel). 2025 Jan 7;11(1):40. doi: 10.3390/jof11010040.
Attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy is a spectrum-based technique that quantifies the absorption of infrared light by molecules present in the microbial cell. The aim of the present study was to evaluate the performance of the ATR-FTIR spectroscopic technique via I-dOne software (Version 2.0) compared with the MALDI-TOF MS in identifying spp. Each infrared spectrum was compared with spectra stored in the software database. The updated version of the I-dOne software was used to analyze ATR-FTIR spectra. All isolates 284/284 (100%) were classified correctly according to the genus. Overall species identification yielded 272/284 (95.8%) concordant identification results with MALDI-TOF MS. Additionally, all 79 isolates belonging to the species complex were identified correctly to the species level with the updated version of the I-dOne software. Only 12 (4.2%) isolates were misidentified at the species level. The present study highlights the potential diagnostic performance of the I-dOne software with ATR-FTIR spectroscopic technique referral spectral database as a real alternative for routine identification of the most frequently isolated spp.
衰减全反射傅里叶变换红外光谱（ATR-FTIR）是一种基于光谱的技术，用于量化微生物细胞中分子对红外光的吸收。本研究的目的是通过I-dOne软件（版本2.0）评估ATR-FTIR光谱技术在鉴定 spp.方面的性能，并与基质辅助激光解吸电离飞行时间质谱（MALDI-TOF MS）进行比较。将每个红外光谱与软件数据库中存储的光谱进行比较。使用I-dOne软件的更新版本分析ATR-FTIR光谱。所有284株分离株（100%）均根据属正确分类。总体物种鉴定结果与MALDI-TOF MS有272/284（95.8%）一致。此外，使用I-dOne软件的更新版本，所有属于 种复合体的79株分离株在种水平上均被正确鉴定。只有12株（4.2%）分离株在种水平上被错误鉴定。本研究突出了I-dOne软件结合ATR-FTIR光谱技术参考光谱数据库在常规鉴定最常见分离的 spp.方面的潜在诊断性能，可作为一种切实可行的替代方法。
