Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran.


Journal

Journal of the science of food and agriculture
ISSN: 1097-0010
Titre abrégé: J Sci Food Agric
Pays: England
ID NLM: 0376334

Informations de publication

Date de publication:
15 Mar 2019
Historique:
received: 29 06 2018
revised: 21 09 2018
accepted: 26 09 2018
pubmed: 3 10 2018
medline: 23 2 2019
entrez: 2 10 2018
Statut: ppublish

Résumé

Deoxynivalenol (DON) is the most common Fusarium mycotoxin occurring in wheat and wheat-derived products, with several adverse and toxic effects in animals and humans. Although bran fractions produced by milling wheat have numerous health benefits, cereal bran is the part of the grain with the highest concentration of DON, thus representing a risk for consumers. Increased efforts have been made to develop analytical methods suitable for rapid DON screening. The applicability of Fourier transform near-infrared (FTNIR), or mid-infrared (FTMIR) spectroscopy, and their combination for rapid analysis of DON in wheat bran, was investigated for the classification of samples into compliant and non-compliant groups regarding the EU legal limit of 750 µg kg Fourier transform near-infrared spectroscopy in combination with classification models was an efficient tool to screen many DON-contaminated wheat bran samples and assess their compliance with EU regulations. © 2018 Society of Chemical Industry.

Sections du résumé

BACKGROUND BACKGROUND
Deoxynivalenol (DON) is the most common Fusarium mycotoxin occurring in wheat and wheat-derived products, with several adverse and toxic effects in animals and humans. Although bran fractions produced by milling wheat have numerous health benefits, cereal bran is the part of the grain with the highest concentration of DON, thus representing a risk for consumers. Increased efforts have been made to develop analytical methods suitable for rapid DON screening.
RESULTS RESULTS
The applicability of Fourier transform near-infrared (FTNIR), or mid-infrared (FTMIR) spectroscopy, and their combination for rapid analysis of DON in wheat bran, was investigated for the classification of samples into compliant and non-compliant groups regarding the EU legal limit of 750 µg kg
CONCLUSIONS CONCLUSIONS
Fourier transform near-infrared spectroscopy in combination with classification models was an efficient tool to screen many DON-contaminated wheat bran samples and assess their compliance with EU regulations. © 2018 Society of Chemical Industry.

Identifiants

pubmed: 30270446
doi: 10.1002/jsfa.9392
doi:

Substances chimiques

Dietary Fiber 0
Mycotoxins 0
Trichothecenes 0
deoxynivalenol JT37HYP23V

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1946-1953

Subventions

Organisme : Italian Ministry of Education, University and Research

Informations de copyright

© 2018 Society of Chemical Industry.

Auteurs

Annalisa De Girolamo (A)

Institute of Sciences of Food Production (ISPA), CNR-National Research Council of Italy, Bari, Italy.

Salvatore Cervellieri (S)

Institute of Sciences of Food Production (ISPA), CNR-National Research Council of Italy, Bari, Italy.

Marina Cortese (M)

Institute of Sciences of Food Production (ISPA), CNR-National Research Council of Italy, Bari, Italy.

Anna Chiara Raffaella Porricelli (ACR)

Institute of Sciences of Food Production (ISPA), CNR-National Research Council of Italy, Bari, Italy.

Michelangelo Pascale (M)

Institute of Sciences of Food Production (ISPA), CNR-National Research Council of Italy, Bari, Italy.

Francesco Longobardi (F)

Institute of Sciences of Food Production (ISPA), CNR-National Research Council of Italy, Bari, Italy.
Department of Chemistry, University of Bari "Aldo Moro", Bari, Italy.

Christoph von Holst (C)

Joint Research Centre, European Commission, Geel, Belgium.

Leonardo Ciaccheri (L)

Institute of Applied Physics 'Nello Carrara' (IFAC), CNR-National Research Council of Italy, Sesto Fiorentino, Italy.

Vincenzo Lippolis (V)

Institute of Sciences of Food Production (ISPA), CNR-National Research Council of Italy, Bari, Italy.

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Classifications MeSH