FT-NIR spectroscopy as a screening tool for deoxynivalenol contamination in wheat. (Abstract/Poster in atti di convegno)

Type
Label
  • FT-NIR spectroscopy as a screening tool for deoxynivalenol contamination in wheat. (Abstract/Poster in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • De Girolamo A., Giussani B., Pascale M., Cervellieri S., Lippolis V., Visconti A. (2011)
    FT-NIR spectroscopy as a screening tool for deoxynivalenol contamination in wheat.
    in 5th International Symposium on Recent Advances in Food Analysis (RAFA), Praga, Rep.Ceca, 1-4 Novembre 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • De Girolamo A., Giussani B., Pascale M., Cervellieri S., Lippolis V., Visconti A. (literal)
Pagina inizio
  • 276 (literal)
Pagina fine
  • 276 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Book of Abstracts 5th International Symposium on Recent Advances on Food Analysis (literal)
Note
  • Poster (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Institute of Sciences of Food Production, National Research Council of Italy, (ISPA-CNR), via G. Amendola 122/O, 70126, Bari, Italy Department of Chemical and Environmental Sciences, University of Insubria, via Valleggio 11, 22100, Como, Italy (literal)
Titolo
  • FT-NIR spectroscopy as a screening tool for deoxynivalenol contamination in wheat. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-80-7080-795-8 (literal)
Abstract
  • Deoxynivalenol (DON) is a type B trichothecene mycotoxin mainly produced by several Fusarium species occurring in cereals. Chromatographic methods are the most widely used for quantitative determination of DON in foodstuffs and feedstuffs. However, these methods are destructive, time-consuming, expensive, unsuitable for screening purposes, and require a preliminary cleanup of the extracts. A range of alternative methods have been published, including infrared spectroscopy. Some studies on the use of near infrared spectroscopy and mid-infrared spectroscopy to predict DON contamination in whole grain and flour of wheat, maize and other grain cereals have been reported. The feasibility of using Fourier-transform near infrared (FT-NIR) spectroscopy for rapid and non-invasive analysis of DON in unprocessed durum wheat at levels close to the EU regulatory level (1750 µg/kg) has been recently reported. A partial least-squares (PLS) regression model was developed using correlation data between FT-NIR and HPLC/FLD (confirming method). We have further implemented the PLS model in a larger study involving more calibration (n = 230) and validation (n = 230) samples from different cultivars of wheat naturally contaminated with DON at levels up to about 16000 µg/kg DON. Slope, coefficients of correlation (r) and root mean square errors (RMSE) were close to 0.73, 0.85 and 300 µg/kg, respectively, in both calibration and validation PLS models. Similar results were obtained when the PLS model was developed by using the cross validation approach on the entire set of data. The reliability of FT-NIR spectroscopy for qualitative discrimination of wheat samples based on DON content was also investigated. Linear discriminant analysis (LDA) was performed on the same calibration and validation sets of durum wheat samples. When a cut-off limit of 1500 µg/kg was used to distinguish the samples classes, the LDA analysis was able to correctly classify more than 85% of wheat samples. Performances of LDA and of PLS regression models suggest that FT-NIR analysis might be a promising screening tool to rapidly analyse durum wheat samples for DON content. Further activities will be carried out to improve the predictive ability of the FT-NIR calibration models in the tested range (literal)
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