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Potential of Fourier Transform Infrared Spectroscopy (FT-IR) to Differentiate Environmental Aspergillus Fungi Species A. niger, A. ochraceus, and A. westerdijkiae Using Two Different Methodologies

Volume 67, Number 3 (March 2013) Page 274-278

SABINA MOSER TRALAMAZZA, ANGELA BOZZA, JOÃO. GUILHERME RODENBUSCH DESTRO, JAIME IVÁN. RODRÍGUEZ, PATRICIA DO ROCIO DALZOTO, and IDA CHAPAVAL PIMENTEL


We assessed the ability of Fourier transform infrared spectroscopy (FT-IR) to differentiate three important and morphologically similar Aspergillus species: A. ochraceus and A. westerdijkiae, and A. niger. Fungi were processed by two methods, powdered mycelia and conidiospore–saline solution, and then recorded in a spectrometer. Second derivatives with nine points of smoothing were applied as spectra data pretreatment. Partial least squares regression was used for the species comparison models and a prediction test was used to evaluate the models. The powdered-mycelia methodology correctly identified 100% of the prediction test set to discriminate A. niger from A. ochraceus and A. westerdijkiae; in addition, it had a 86.6% success rate in discriminating A. ochraceus and A. westerdijkiae. This is the first time a study assessed the ability of FT-IR to differentiate A. niger, A. ochraceus, and A. westerdijkiae, and we believe this technique is very promising for classifying and distinguish fungi isolates.



Index Headings: Aspergillus; Attenuated total reflectance (ATR); Diffuse reflectance; Fourier transform; Fungi taxonomy; Infrared spectroscopy.