Rapid Identification of Clinically Relevant <i>Candida</i> spp. by I-dOne Software Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy

Rapid Identification of Clinically Relevant <i>Candida</i> spp. by I-dOne Software Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy

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 techni...

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Bibliographic Details
Main Authors: Iacopo Franconi, Roberta Fais, Cesira Giordano, Benedetta Tuvo, Chiaramaria Stani, Arianna Tavanti, Simona Barnini, Antonella Lupetti
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Journal of Fungi
Subjects:
ATR-FTIR spectroscopy
<i>Candida</i> spp.
I-dOne software
<i>Candida</i> spp. identification
Online Access:https://www.mdpi.com/2309-608X/11/1/40
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Summary: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 <i>Candida</i> 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 <i>Candida</i> 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 <i>Candida parapsilosis</i> 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 <i>Candida</i> spp.
ISSN:2309-608X

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