Application of a Low-Cost Electronic Nose for Differentiation between Pathogenic Oomycetes

Phytophthora Pythium artificial olfaction biosecurity e-nose electronic aroma detection forest ecosystems fungal and oomycetes volatiles odor classification volatile organic compounds

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
13 Feb 2021
Historique:
received: 07 01 2021
revised: 26 01 2021
accepted: 08 02 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 23 3 2021
Statut: epublish

Résumé

Compared with traditional gas chromatography-mass spectrometry techniques, electronic noses are non-invasive and can be a rapid, cost-effective option for several applications. This paper presents comparative studies of differentiation between odors emitted by two forest pathogens:

Identifiants

pubmed: 33668511
pii: s21041326
doi: 10.3390/s21041326
pmc: PMC7918289
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Centre for Research and Development
ID : BIOSTRATEG3/347105/9/NCBR/2017

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Auteurs

Piotr Borowik (P)

Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warszawa, Poland.

Leszek Adamowicz (L)

Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warszawa, Poland.

Rafał Tarakowski (R)

Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warszawa, Poland.

Przemysław Wacławik (P)

Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warszawa, Poland.

Tomasz Oszako (T)

Forest Protection Department, Forest Research Institute, ul. Braci Leśnej 3, 05-090 Sękocin Stary, Poland.

Sławomir Ślusarski (S)

Forest Protection Department, Forest Research Institute, ul. Braci Leśnej 3, 05-090 Sękocin Stary, Poland.

Miłosz Tkaczyk (M)

Forest Protection Department, Forest Research Institute, ul. Braci Leśnej 3, 05-090 Sękocin Stary, Poland.

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Classifications MeSH