Near-infrared hyperspectral imaging for deoxynivalenol and ergosterol estimation in wheat samples.

Chromatography, High Pressure Liquid Discriminant Analysis Ergosterol / analysis Hyperspectral Imaging / methods Least-Squares Analysis Spectrophotometry, Infrared Spectroscopy, Near-Infrared Trichothecenes / analysis Triticum / chemistry
Cereal analysis Deoxynivalenol Ergosterol Hyperspectral imaging Near infrared

Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
30 Mar 2021
Historique:
received: 06 05 2020
revised: 07 09 2020
accepted: 23 09 2020
pubmed: 10 10 2020
medline: 30 12 2020
entrez: 9 10 2020
Statut: ppublish

Résumé

The present study aimed to evaluate the use of hyperspectral imaging (HSI)-NIR spectroscopy to assess the presence of DON and ergosterol in wheat samples through prediction and classification models. To achieve these objectives, a first set of bulk samples was scanned by HSI-NIR and divided into two subsamples, one that was analysed for ergosterol and another that was analysed for DON by HPLC. This method was repeated for a second larger set to build prediction and classification models. All the spectra were pretreated and statistically processed by PLS and LDA. The prediction models presented a RMSEP of 1.17 mg/kg and 501 µg/kg for ergosterol and DON, respectively. Classification achieved an encouraging accuracy of 85.4% for an independent validation set of samples. The results confirm that HSI-NIR may be a suitable technique for ergosterol quantification and DON classification of samples according to the EU legal limit for DON.

Identifiants

DOI: 10.1016/j.foodchem.2020.128206 PMID: 33035826
pubmed: 33035826
pii: S0308-8146(20)32068-9
doi: 10.1016/j.foodchem.2020.128206
pii:
doi:

Substances chimiques

Trichothecenes 0
deoxynivalenol JT37HYP23V
Ergosterol Z30RAY509F

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

128206

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Antoni Femenias (A)

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

Ferran Gatius (F)

Department of Chemistry, University of Lleida (UdL), Av. Rovira Roure, 191, Lleida 25198, Spain.

Antonio J Ramos (AJ)

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

Vicente Sanchis (V)

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

Sonia Marín (S)

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

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Classifications MeSH

questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Chromatographie › Chromatographie en phase liquide › Chromatographie en phase liquide à haute performance › Near-infrared hyperspectral imaging for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse discriminante › Near-infrared hyperspectral imaging for...
questionsmedicales.fr › Composés polycycliques › Composés à cycles fusionnés › Stéroïdes › Cholestanes › Cholestènes › Ergostérol › Near-infrared hyperspectral imaging for...
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Analyse spectrale › Imagerie hyperspectrale › Near-infrared hyperspectral imaging for...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de régression › Méthode des moindres carrés › Near-infrared hyperspectral imaging for...
questionsmedicales.fr › Techniques d'investigation › Techniques de chimie analytique › Analyse spectrale › Spectrophotométrie › Spectrophotométrie IR › Near-infrared hyperspectral imaging for...
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questionsmedicales.fr › Eucaryotes › Viridiplantae › Streptophyta › Embryophyta › Tracheobionta › Magnoliopsida › Poaceae › Triticum › Near-infrared hyperspectral imaging for...