A method for early detection and identification of fungal contamination of building materials using e-nose

Zbigniew Suchorab, Magdalena Frąc, Łukasz Guz, Karolina Oszust, Grzegorz Łagód, Agata Gryta, Nina Bilińska-Wielgus and Jacek Czerwiński

PLOS ONE, 2019, vol. 14, issue 4, 1-17

Abstract: The aim of the study was to develop a method for early detection and identification of fungal contamination of building materials using an electronic nose. Therefore, the laboratory experiments based on the analysis of the air in the vicinity of fungal isolates potentially found in the building materials were performed. The results revealed that the employed gas sensors array consisting of MOS-type sensors enables the detection of the differences among the examined samples of fungi and distinguishing between the non-contaminated and contaminated samples, shortly after fungal contamination occurs. Electronic nose readouts were analysed using Principal Component Analysis and the results were verified with standard chromatographic analysis by means of SPME-GC/MS method, which proved that gas sensors array can be applied for early detection of fungal contamination.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0215179

DOI: 10.1371/journal.pone.0215179

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