| Title: | Aspergillus Species Discrimination Using a Gas Sensor Array |
| Author(s): | Capuano R; Paba E; Mansi A; Marcelloni AM; Chiominto A; Proietto AR; Zampetti E; Macagnano A; Lvova L; Catini A; Paolesse R; Tranfo G; Di Natale C; |
| Address: | "Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy. Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, National Institute for Insurance against Accidents at Work (INAIL) Via Fontana Candida 1, 00078 Monte Porzio Catone, Rome, Italy. Institute of Atmospheric Pollution Research-National Research Council, Via Salaria km. 29300, 00016 Monterotondo, Rome, Italy. Department of Chemical Science and Technology, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy" |
| ISSN/ISBN: | 1424-8220 (Electronic) 1424-8220 (Linking) |
| Abstract: | "The efficiency of electronic noses in detecting and identifying microorganisms has been proven by several studies. Since volatile compounds change with the growth of colonies, the identification of strains is highly dependent on the growing conditions. In this paper, the effects of growth were investigated with different species of Aspergillus, which is one of the most studied microorganisms because of its implications in environmental and food safety. For this purpose, we used an electronic nose previously utilized for volatilome detection applications and based on eight porphyrins-functionalized quartz microbalances. The volatile organic compounds (VOCs) released by cultured fungi were measured at 3, 5, and 10 days after the incubation. The signals from the sensors showed that the pattern of VOCs evolve with time. In particular, the separation between the three studied strains progressively decreases with time. The three strains could still be identified despite the influence of culture time. Linear Discriminant Analysis (LDA) showed an overall accuracy of 88% and 71% in the training and test sets, respectively. These results indicate that the presence of microorganisms is detectable with respect to background, however, the difference between the strains changes with the incubation time" |
| Keywords: | Aspergillus/*chemistry/*classification Discriminant Analysis *Electronic Nose Volatile Organic Compounds/*analysis Aspergillus species electronic nose porphyrins volatile organic compounds; |
| Notes: | "MedlineCapuano, Rosamaria Paba, Emilia Mansi, Antonella Marcelloni, Anna Maria Chiominto, Alessandra Proietto, Anna Rita Zampetti, Emiliano Macagnano, Antonella Lvova, Larisa Catini, Alexandro Paolesse, Roberto Tranfo, Giovanna Di Natale, Corrado eng BRIC 2016-ID12/Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro/ Letter Switzerland 2020/07/28 Sensors (Basel). 2020 Jul 18; 20(14):4004. doi: 10.3390/s20144004" |
