Standardization of near infrared hyperspectral imaging for wheat single kernel sorting according to deoxynivalenol level.

Bayes Theorem Hyperspectral Imaging Reference Standards Trichothecenes Triticum
Cereal sorting Deoxynivalenol Hyperspectral imaging Near infrared Single kernel

Journal

Food research international (Ottawa, Ont.)
ISSN: 1873-7145
Titre abrégé: Food Res Int
Pays: Canada
ID NLM: 9210143

Informations de publication

Date de publication:
01 2021
Historique:
received: 07 09 2020
revised: 12 11 2020
accepted: 22 11 2020
entrez: 29 1 2021
pubmed: 30 1 2021
medline: 25 5 2021
Statut: ppublish

Résumé

The spatial recognition feature of near infrared hyperspectral imaging (HSI-NIR) makes it potentially suitable for Fusarium and deoxynivalenol (DON) management in single kernels to break with heterogeneity of contamination in wheat batches to move towards individual kernel sorting and provide more quick, environmental-friendly and non-destructive analysis than wet-chemistry techniques. The aim of this study was to standardize HSI-NIR for individual kernel analysis of Fusarium damage and DON presence, to predict the level of contamination and classify grains according to the EU maximum limit (1250 µg/kg). Visual inspection on Fusarium infection symptoms and HPLC analysis for DON determination were used as reference methods. The kernels were scanned in both crease-up and crease-down position and for different image captures. The spectra were pretreated by Multiplicative Scatter Correction (MSC) and Standard Normal Variate (SNV), 1st and 2nd derivatives and normalisation, and they were evaluated also by removing spectral tails. The best fitted predictive model was on SNV pretreated data (R

Identifiants

DOI: 10.1016/j.foodres.2020.109925 PMID: 33509492
pubmed: 33509492
pii: S0963-9969(20)30950-9
doi: 10.1016/j.foodres.2020.109925
pii:
doi:

Substances chimiques

Trichothecenes 0
deoxynivalenol JT37HYP23V

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

109925

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Antoni Femenias (A)

Applied Mycology Unit, Food Technology Department, University of Lleida, UTPV-XaRTA, Agrotecnio, Av. Rovira Roure 191, 25198 Lleida, Spain.

Maria Belén Bainotti (MB)

Applied Mycology Unit, Food Technology Department, University of Lleida, UTPV-XaRTA, Agrotecnio, Av. Rovira Roure 191, 25198 Lleida, Spain.

Ferran Gatius (F)

Departament de Química, Universitat de Lleida (UdL), Av. Rovira Roure, 191, Lleida 25198, Spain.

Antonio J Ramos (AJ)

Applied Mycology Unit, Food Technology Department, University of Lleida, UTPV-XaRTA, Agrotecnio, Av. Rovira Roure 191, 25198 Lleida, Spain.

Sonia Marín (S)

Applied Mycology Unit, Food Technology Department, University of Lleida, UTPV-XaRTA, Agrotecnio, Av. Rovira Roure 191, 25198 Lleida, Spain. Electronic address: sonia.marin@udl.cat.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Théorème de Bayes › Standardization of near infrared hyperspectral...
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Analyse spectrale › Imagerie hyperspectrale › Standardization of near infrared hyperspectral...
questionsmedicales.fr › Techniques d'investigation › Poids et mesures › Normes de référence › Standardization of near infrared hyperspectral...
questionsmedicales.fr › Facteurs biologiques › Toxines biologiques › Mycotoxines › Trichothécènes › Standardization of near infrared hyperspectral...
questionsmedicales.fr › Eucaryotes › Viridiplantae › Streptophyta › Embryophyta › Tracheobionta › Magnoliopsida › Poaceae › Triticum › Standardization of near infrared hyperspectral...