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Detection of Fusarium poae Infestation in Wheat Grain by Measurement with Two Electronic Noses
* 1 , 2 , 3 , 4 , * 5 , * 6
1  Faculty of Physics, Warsaw University of Technology, Ul. Koszykowa 75, 00-662 Warszawa, Poland
2  Forestry Students’ Scientific Association, Forest Department, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warszawa, Poland
3  Forest Protection Department, Forest Research Institute, ul. Braci Leśnej 3, 05-090 Sękocin Stary, Poland
4  Department of Entomology, Phytopathology and Molecular Diagnostics, Faculty of Agriculture and Forestry, University of Warmia and Mazury in Olsztyn, Pl. Łódzki 5, 10-727 Olsztyn, Poland
5  Faculty of Physics Warsaw University of Technology
6  Forest Protection Department, Forest Research Institute, Ul. Braci Leśnej 3, 05-090 Sękocin Stary, Poland
Academic Editor: Francisco Falcone

https://doi.org/10.3390/ecsa-11-20516 (registering DOI)
Abstract:

Fusarium poae is a pathogen that is widespread in the temperate zone and poses a serious threat to crops due to its wide range of host plants (including cereals). Electronic nose measurements were performed on wheat grains infected with F. poae to evaluate the application of early detection of fungal infections. Wheat seeds were artificially inoculated to test the devices. Three, same-weight but different infection levels, variants of experiments were prepared: 3 g infected seeds with 12 g healthy seeds, 5 g infected seeds with 10 g healthy seeds, and 10 g infected seeds with only 5 g healthy seeds. The seeds were infected with fresh fragments of F. poae mycelium. Measurements were carried out for five constructive days, recording the changes in volatile odor compounds released each day. A custom-built, low-cost device based on Figaro Inc. TGS metal-oxide, semiconductor gas sensors, and commercially available PEN3 electronic nose device from Airsense Analytics GmbH was used for the experiment. A non-linear sensor response for measured sample odor was observed with both devices. Spoiled grain in a proportion of 1/15 of the sample could be detected by measuring the volatile components. However, the patterns of the sensor responses were different for various concentrations of spoiled grain in the measured samples.

Keywords: electronic nose; enose; Fusarium poae; wheat infection; seeds infection
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