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Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani
Electronic noses can be applied as a rapid, cost-effective option for several applications. This paper presents the results of measurements of samples of two pathogenic fungi, Fusarium oxysporum and Rhizoctonia solani, performed using two constructions of a low-cost electronic nose. The first electr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433741/ https://www.ncbi.nlm.nih.gov/pubmed/34502763 http://dx.doi.org/10.3390/s21175868 |
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author | Borowik, Piotr Adamowicz, Leszek Tarakowski, Rafał Wacławik, Przemysław Oszako, Tomasz Ślusarski, Sławomir Tkaczyk, Miłosz |
author_facet | Borowik, Piotr Adamowicz, Leszek Tarakowski, Rafał Wacławik, Przemysław Oszako, Tomasz Ślusarski, Sławomir Tkaczyk, Miłosz |
author_sort | Borowik, Piotr |
collection | PubMed |
description | Electronic noses can be applied as a rapid, cost-effective option for several applications. This paper presents the results of measurements of samples of two pathogenic fungi, Fusarium oxysporum and Rhizoctonia solani, performed using two constructions of a low-cost electronic nose. The first electronic nose used six non-specific Figaro Inc. metal oxide gas sensors. The second one used ten sensors from only two models (TGS 2602 and TGS 2603) operating at different heater voltages. Sets of features describing the shapes of the measurement curves of the sensors’ responses when exposed to the odours were extracted. Machine learning classification models using the logistic regression method were created. We demonstrated the possibility of applying the low-cost electronic nose data to differentiate between the two studied species of fungi with acceptable accuracy. Improved classification performance could be obtained, mainly for measurements using TGS 2603 sensors operating at different voltage conditions. |
format | Online Article Text |
id | pubmed-8433741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84337412021-09-12 Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani Borowik, Piotr Adamowicz, Leszek Tarakowski, Rafał Wacławik, Przemysław Oszako, Tomasz Ślusarski, Sławomir Tkaczyk, Miłosz Sensors (Basel) Article Electronic noses can be applied as a rapid, cost-effective option for several applications. This paper presents the results of measurements of samples of two pathogenic fungi, Fusarium oxysporum and Rhizoctonia solani, performed using two constructions of a low-cost electronic nose. The first electronic nose used six non-specific Figaro Inc. metal oxide gas sensors. The second one used ten sensors from only two models (TGS 2602 and TGS 2603) operating at different heater voltages. Sets of features describing the shapes of the measurement curves of the sensors’ responses when exposed to the odours were extracted. Machine learning classification models using the logistic regression method were created. We demonstrated the possibility of applying the low-cost electronic nose data to differentiate between the two studied species of fungi with acceptable accuracy. Improved classification performance could be obtained, mainly for measurements using TGS 2603 sensors operating at different voltage conditions. MDPI 2021-08-31 /pmc/articles/PMC8433741/ /pubmed/34502763 http://dx.doi.org/10.3390/s21175868 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Borowik, Piotr Adamowicz, Leszek Tarakowski, Rafał Wacławik, Przemysław Oszako, Tomasz Ślusarski, Sławomir Tkaczyk, Miłosz Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani |
title | Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani |
title_full | Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani |
title_fullStr | Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani |
title_full_unstemmed | Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani |
title_short | Development of a Low-Cost Electronic Nose for Detection of Pathogenic Fungi and Applying It to Fusarium oxysporum and Rhizoctonia solani |
title_sort | development of a low-cost electronic nose for detection of pathogenic fungi and applying it to fusarium oxysporum and rhizoctonia solani |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433741/ https://www.ncbi.nlm.nih.gov/pubmed/34502763 http://dx.doi.org/10.3390/s21175868 |
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