Hyperspectral imaging of common foodborne pathogens for rapid identification and differentiation.

hyperspectral imaging pathogens rapid identification

Journal

Food science & nutrition
ISSN: 2048-7177
Titre abrégé: Food Sci Nutr
Pays: United States
ID NLM: 101605473

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 09 05 2019
revised: 13 06 2019
accepted: 16 06 2019
entrez: 21 8 2019
pubmed: 21 8 2019
medline: 21 8 2019
Statut: epublish

Résumé

Hyperspectral imaging (HSI) provides both spatial and spectral information of a sample by combining imaging with spectroscopy. The objective of this study was to generate hyperspectral graphs of common foodborne pathogens and to develop and validate prediction models for the classification of these pathogens. Four strains of

Identifiants

pubmed: 31428359
doi: 10.1002/fsn3.1131
pii: FSN31131
pmc: PMC6694429
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2716-2725

Déclaration de conflit d'intérêts

All authors declare no conflicts of interest in this article.

Références

J Microsc. 2016 Jul;263(1):10-9
pubmed: 26695128
J Microsc. 2008 Oct;232(1):130-6
pubmed: 19017210
Int J Food Microbiol. 2010 Nov 15;144(1):64-71
pubmed: 20869132
Food Sci Nutr. 2019 Jul 10;7(8):2716-2725
pubmed: 31428359
Ann Ist Super Sanita. 2008;44(3):275-80
pubmed: 18946167

Auteurs

Minto Michael (M)

School of Food Science Washington State University Pullman WA USA.

Randall K Phebus (RK)

Food Science Institute Kansas State University Manhattan KS USA.

Jayendra Amamcharla (J)

Food Science Institute Kansas State University Manhattan KS USA.

Classifications MeSH