Identification of dermatophytes by Fourier transform infrared spectroscopy (FT‐IR)

Bastert, J.; Korting, H.C.; Traenkle, P.; Schmalreck, A.

doi:10.1046/j.1439-0507.1999.00513.x

Cited by 31 publications

(22 citation statements)

References 11 publications

(2 reference statements)

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“…Various studies have shown the applicability of FTIR spectroscopy to classify and identify bacterial and fungal microorganisms as well as prions (1,4,5,10,21,28). Furthermore, FTIR spectroscopy was used successfully as a fingerprinting technique for the assessment of intraspecies variability (7,13,22).…”

Section: Discussionmentioning

confidence: 99%

Fourier-Transform Infrared Spectroscopic Analysis Is a Powerful Tool for Studying the Dynamic Changes in Staphylococcus aureus Small-Colony Variants

et al. 2006

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Infections due to small-colony variants (SCVs) of Staphylococcus aureus in patients with chronic and recurrent infections are an emerging problem; however, studies with this subpopulation are hampered by the fact that SCVs may exhibit unstable phenotypes, making them difficult to study, particularly in broth media. In this study, two S. aureus sets comprising the (i) normal and the (ii) SCV phenotype (clonal with normal phenotype) recovered from clinical specimens, as well as (iii) corresponding site-directed mutants displaying the SCV phenotype (knockout of hemB) and (iv) their complemented mutants were examined by Fouriertransform infrared (FTIR) spectroscopy. Phenotypes were defined on solid and in broth media. Using firstderivative infrared spectra to calculate spectral distances, hierarchical clustering based on spectral information resulted in a dendrogram with clear discrimination between SCV and normal phenotypes. The SCVs gave an FTIR fingerprint that was easily recognizable and that was much closer to other SCVs than to their parent strains. This technique offers for the first time a noninvasive approach to investigate dynamic processes of reversion of SCVs to the normal phenotype and vice versa. Thus, FTIR spectroscopy allowed a rapid and reproducible tool for the examination of different subpopulations of S. aureus on solid and in broth media for diagnostic and research purposes.

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Section: Discussionmentioning

confidence: 99%

Fourier-Transform Infrared Spectroscopic Analysis Is a Powerful Tool for Studying the Dynamic Changes in Staphylococcus aureus Small-Colony Variants

et al. 2006

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“…At the time of the study, the individual test centers applying routine standard laboratory procedures performed the initial species identification, and species confirmation was performed using Fourier transform infrared spectroscopy (FT-IR). FT-IR has been reported to be a rapid, reliable, and cost-saving tool to identify and differentiate bacteria, dermatophytes, and yeasts (54)(55)(56)(57)(58)(59)(60)(61)(62). An IFS 28/B spectrophotometer (Bruker GmbH, Germany) was used for FT-IRbased identification; the resulting spectra were transformed and evaluated using Opus software from Bruker GmbH, as previously described by Tietz et al (58).…”

Section: Methodsmentioning

confidence: 99%

Phylogenetic Relationships Matter: Antifungal Susceptibility among Clinically Relevant Yeasts

Schmalreck

Lackner

Becker

et al. 2014

Antimicrob Agents Chemother

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The objective of this study was 2-fold: to evaluate whether phylogenetically closely related yeasts share common antifungal susceptibility profiles (ASPs) and whether these ASPs can be predicted from phylogeny. To address this question, 9,627 yeast strains were collected and tested for their antifungal susceptibility. Isolates were reidentified by considering recent changes in taxonomy and nomenclature. A phylogenetic (PHYLO) code based on the results of multilocus sequence analyses (large-subunit rRNA, small-subunit rRNA, translation elongation factor 1␣, RNA polymerase II subunits 1 and 2) and the classification of the cellular neutral sugar composition of coenzyme Q and 18S ribosomal DNA was created to group related yeasts into PHYLO groups. The ASPs were determined for fluconazole, itraconazole, and voriconazole in each PHYLO group. The majority (95%) of the yeast strains were Ascomycetes. After reclassification, a total of 23 genera and 54 species were identified, resulting in an increase of 64% of genera and a decrease of 5% of species compared with the initial identification. These taxa were assigned to 17 distinct PHYLO groups (Ascomycota, n ‫؍‬ 13; Basidiomycota, n ‫؍‬ 4). ASPs for azoles were similar among members of the same PHYLO group and different between the various PHYLO groups. Yeast phylogeny may be an additional tool to significantly enhance the assessment of MIC values and to predict antifungal susceptibility, thereby more rapidly initiating appropriate patient management.

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“…Various fungal genera have been identified by using dry spores, fruit bodies or cultural biomass as source material for FTIR. These include Aspergillus [2], Mucor [11], Penicillium [2,12], Memnoniella, Fusarium [12] and dermetophytes [13] and certain wood fungi [14], food spoilage fungi [15] and mushrooms genera such as Agaricus, Amanita, Lactarius, Macrolepiota and Pleurotus [8]. Fungal cell wall structure and chemical composition is found to be diverse from species to species and .…”

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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Identification of dermatophytes by Fourier transform infrared spectroscopy (FT‐IR)

Cited by 31 publications

References 11 publications

Fourier-Transform Infrared Spectroscopic Analysis Is a Powerful Tool for Studying the Dynamic Changes in Staphylococcus aureus Small-Colony Variants

Fourier-Transform Infrared Spectroscopic Analysis Is a Powerful Tool for Studying the Dynamic Changes in Staphylococcus aureus Small-Colony Variants

Phylogenetic Relationships Matter: Antifungal Susceptibility among Clinically Relevant Yeasts

Potential of FTIR spectroscopy in chemical characterization of Termitomyces Pellets

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