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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2025-01-01
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| Series: | Journal of Fungi |
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| author | Iacopo Franconi Roberta Fais Cesira Giordano Benedetta Tuvo Chiaramaria Stani Arianna Tavanti Simona Barnini Antonella Lupetti |
| author_facet | Iacopo Franconi Roberta Fais Cesira Giordano Benedetta Tuvo Chiaramaria Stani Arianna Tavanti Simona Barnini Antonella Lupetti |
| author_sort | Iacopo Franconi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e01b4b939ac6423da112028351b575ed |
| institution | Kabale University |
| issn | 2309-608X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Fungi |
| spelling | doaj-art-e01b4b939ac6423da112028351b575ed2025-01-24T13:37:19ZengMDPI AGJournal of Fungi2309-608X2025-01-011114010.3390/jof11010040Rapid Identification of Clinically Relevant <i>Candida</i> spp. by I-dOne Software Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) SpectroscopyIacopo Franconi0Roberta Fais1Cesira Giordano2Benedetta Tuvo3Chiaramaria Stani4Arianna Tavanti5Simona Barnini6Antonella Lupetti7Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37-39, 56127 Pisa, ItalyDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37-39, 56127 Pisa, ItalySD Microbiology Bacteriology, Azienda Ospedaliero-Universitaria Pisana, 56126 Pisa, ItalyDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37-39, 56127 Pisa, ItalyElettra Sincrotrone Trieste S.C.p.A., 34149 Trieste, ItalyDepartment of Biology, University of Pisa, 56127 Pisa, ItalySD Microbiology Bacteriology, Azienda Ospedaliero-Universitaria Pisana, 56126 Pisa, ItalyDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37-39, 56127 Pisa, ItalyAttenuated 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.https://www.mdpi.com/2309-608X/11/1/40ATR-FTIR spectroscopy<i>Candida</i> spp.I-dOne software<i>Candida</i> spp. identification |
| spellingShingle | Iacopo Franconi Roberta Fais Cesira Giordano Benedetta Tuvo Chiaramaria Stani Arianna Tavanti Simona Barnini Antonella Lupetti Rapid Identification of Clinically Relevant <i>Candida</i> spp. by I-dOne Software Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy Journal of Fungi ATR-FTIR spectroscopy <i>Candida</i> spp. I-dOne software <i>Candida</i> spp. identification |
| title | Rapid Identification of Clinically Relevant <i>Candida</i> spp. by I-dOne Software Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy |
| title_full | Rapid Identification of Clinically Relevant <i>Candida</i> spp. by I-dOne Software Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy |
| title_fullStr | Rapid Identification of Clinically Relevant <i>Candida</i> spp. by I-dOne Software Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy |
| title_full_unstemmed | Rapid Identification of Clinically Relevant <i>Candida</i> spp. by I-dOne Software Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy |
| title_short | Rapid Identification of Clinically Relevant <i>Candida</i> spp. by I-dOne Software Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) Spectroscopy |
| title_sort | rapid identification of clinically relevant i candida i spp by i done software using attenuated total reflectance fourier transform infrared atr ftir spectroscopy |
| topic | ATR-FTIR spectroscopy <i>Candida</i> spp. I-dOne software <i>Candida</i> spp. identification |
| url | https://www.mdpi.com/2309-608X/11/1/40 |
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