Distinguishing between Wheat Grains Infested by Four


Journal

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

Informations de publication

Date de publication:
02 Jul 2024
Historique:
received: 07 06 2024
revised: 26 06 2024
accepted: 01 07 2024
medline: 13 7 2024
pubmed: 13 7 2024
entrez: 13 7 2024
Statut: epublish

Résumé

An electronic device based on the detection of volatile substances was developed in response to the need to distinguish between fungal infestations in food and was applied to wheat grains. The most common pathogens belong to the fungi of the genus

Identifiants

pubmed: 39001090
pii: s24134312
doi: 10.3390/s24134312
pii:
doi:

Substances chimiques

Volatile Organic Compounds 0

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
Organisme : University of Warmia and Mazury in Olsztyn
ID : 30.610.009.110

Auteurs

Piotr Borowik (P)

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

Miłosz Tkaczyk (M)

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

Przemysław Pluta (P)

Forestry Students' Scientific Association, Forest Department, Warsaw University of Life Sciences, Nowoursynowska 166, 02-787 Warszawa, Poland.

Adam Okorski (A)

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.

Marcin Stocki (M)

Institute of Forest Sciences, Faculty of Civil Engineering and Environmental Sciences, Białystok University of Technology, Ul. Wiejska 45E, 15-351 Białystok, Poland.

Rafał Tarakowski (R)

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.

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Classifications MeSH