{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:37:36Z","timestamp":1783528656373,"version":"3.55.0"},"reference-count":38,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T00:00:00Z","timestamp":1736208000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JoF"],"abstract":"<jats:p>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 Candida 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 Candida 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 Candida parapsilosis 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 Candida spp.<\/jats:p>","DOI":"10.3390\/jof11010040","type":"journal-article","created":{"date-parts":[[2025,1,7]],"date-time":"2025-01-07T03:38:41Z","timestamp":1736221121000},"page":"40","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Rapid Identification of Clinically Relevant Candida spp. by I-dOne Software Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2525-6216","authenticated-orcid":false,"given":"Iacopo","family":"Franconi","sequence":"first","affiliation":[{"name":"Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37-39, 56127 Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberta","family":"Fais","sequence":"additional","affiliation":[{"name":"Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37-39, 56127 Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0735-726X","authenticated-orcid":false,"given":"Cesira","family":"Giordano","sequence":"additional","affiliation":[{"name":"SD Microbiology Bacteriology, Azienda Ospedaliero-Universitaria Pisana, 56126 Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6562-0321","authenticated-orcid":false,"given":"Benedetta","family":"Tuvo","sequence":"additional","affiliation":[{"name":"Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37-39, 56127 Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chiaramaria","family":"Stani","sequence":"additional","affiliation":[{"name":"Elettra Sincrotrone Trieste S.C.p.A., 34149 Trieste, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5791-686X","authenticated-orcid":false,"given":"Arianna","family":"Tavanti","sequence":"additional","affiliation":[{"name":"Department of Biology, University of Pisa, 56127 Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simona","family":"Barnini","sequence":"additional","affiliation":[{"name":"SD Microbiology Bacteriology, Azienda Ospedaliero-Universitaria Pisana, 56126 Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6975-8114","authenticated-orcid":false,"given":"Antonella","family":"Lupetti","sequence":"additional","affiliation":[{"name":"Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37-39, 56127 Pisa, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.idc.2021.03.001","article-title":"Recent Trends in the Epidemiology of Fungal Infections","volume":"35","author":"Seagle","year":"2021","journal-title":"Infect. 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