Implementation of an FTIR spectral library of 486 filamentous fungi strains for rapid identification of molds

Lecellier, A.; Gaydou, Vincent; Mounier, Jérôme; Hermet, Antoine; Castrec, L.; Barbier, Georges; Ablain, Wilfried; Manfait, Michel; Toubas, D.; Sockalingum, Ganesh D.

doi:10.1016/j.fm.2014.01.002

Cited by 41 publications

(29 citation statements)

References 42 publications

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“…Fourier-transform infrared (FTIR) spectroscopy has been known to be a very promising method to characterize biological samples by their chemical composition and provides qualitative and quantitative estimates of lipids, polysaccharides, nucleic acids, proteins [2,3]. FTIR spectrum is considered as a global "molecular fingerprint" which can be used for characterization, differentiation and identification of microorganisms [1] and has been widely applied for identification of bacteria [3][4][5], yeast, filamentous fungi [6,7] and also some mushrooms [8][9][10]. Various fungal genera have been identified by using dry spores, fruit bodies or cultural biomass as source material for FTIR.…”

Section: Introductionmentioning

confidence: 99%

Potential of FTIR spectroscopy in chemical characterization of Termitomyces Pellets

2017

J App Biol Biotech

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Potential of Fourier-Transform Infrared (FTIR) spectroscopy was assessed and Hierarchical Cluster Analysis (HCA) was applied over entire range of spectra for determining characteristic chemical compositional similarity of 11 different Termitomyces Heim strains using 20 days old pelletized dry biomass produced under submerged shaken condition at 28±1 o C. Four dominant spectral windows showing C-H, O-H stretching region, amide I, amide II and polysaccharide regions were identified displaying characteristic variable bands across species at 3400-3200 cm -1 , 2900-2850 cm -1 , 2350-2215 cm -1 , 1750 cm -1 , 1658-1625 cm -1 , 1582-1547 cm -1 , 1375-1315 cm -1 and 900-725 cm -1 . The HCA dendrogram showed formation of two major clusters based on their presumptive chemical similarity.

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Section: Introductionmentioning

confidence: 99%

Potential of FTIR spectroscopy in chemical characterization of Termitomyces Pellets

2017

J App Biol Biotech

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“…FTIR spectroscopy is also used in microbiology for the identification of filamentous fungi (Fischer et al, 2006;Linker and Tsror, 2008;Santos et al, 2010;Lecellier et al, 2015). It was demonstrated that each fungal species exhibits a typical infrared spectrum.…”

Section: Introductionmentioning

confidence: 99%

Contribution to the characterization of foxing stains on printed books using infrared spectroscopy and scanning electron microscopy energy dispersive spectrometry

Rakotonirainy

Bénaud

Vilmont

2015

International Biodeterioration & Biodegradation

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“…A number of studies have demonstrated the capabilities of FTIR spectroscopy for clinical bacterial identification with promising results to the species and strain levels, including having the potential for discrimination between antibioticresistant and -susceptible strains (16)(17)(18)(19)(20). Previous studies on fungal identification utilizing FTIR spectroscopy have mostly been restricted to applications in food and environmental microbiology rather than clinical microbiology (21,22). A few studies have investigated the use of FTIR spectroscopy for the discrimination of yeast species, but those studies have relied on limited numbers of clinical isolates and species and were mostly aimed toward a general exploration of FTIR technology for identification purposes (13,15,23,24).…”

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confidence: 99%

Reagent-Free Identification of Clinical Yeasts by Use of Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy

et al. 2019

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Invasive fungal infections by opportunistic yeasts have increased concomitantly with the growth of an immunocompromised patient population. Misidentification of yeasts can lead to inappropriate antifungal treatment and complications. Attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy is a promising method for rapid and accurate identification of microorganisms. ATR-FTIR spectroscopy is a standalone, inexpensive, reagent-free technique that provides results within minutes after initial culture. In this study, a comprehensive spectral reference database of 65 clinically relevant yeast species was constructed and tested prospectively on spectra recorded (from colonies taken from culture plates) for 318 routine yeasts isolated from various body fluids and specimens received from 38 microbiology laboratories over a 4-month period in our clinical laboratory. ATR-FTIR spectroscopy attained comparable identification performance with matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS). In a preliminary validation of the ATR-FTIR method, correct identification rates of 100% and 95.6% at the genus and species levels, respectively, were achieved, with 3.5% unidentified and 0.9% misidentified. By expanding the number of spectra in the spectral reference database for species for which isolates could not be identified or had been misidentified, we were able to improve identification at the species level to 99.7%. Thus, ATR-FTIR spectroscopy provides a new standalone method that can rival MALDI-TOF MS for the accurate identification of a broad range of medically important yeasts. The simplicity of the ATR-FTIR spectroscopy workflow favors its use in clinical laboratories for timely and low-cost identification of life-threatening yeast strains for appropriate treatment.

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Implementation of an FTIR spectral library of 486 filamentous fungi strains for rapid identification of molds

Cited by 41 publications

References 42 publications

Potential of FTIR spectroscopy in chemical characterization of Termitomyces Pellets

Potential of FTIR spectroscopy in chemical characterization of Termitomyces Pellets

Contribution to the characterization of foxing stains on printed books using infrared spectroscopy and scanning electron microscopy energy dispersive spectrometry

Reagent-Free Identification of Clinical Yeasts by Use of Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy

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