Rapid Analysis of Deoxynivalenol in Durum Wheat by FT-NIR Spectroscopy. (Articolo in rivista)

Type
Label
  • Rapid Analysis of Deoxynivalenol in Durum Wheat by FT-NIR Spectroscopy. (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.3390/toxins6113129 (literal)
Alternative label
  • De Girolamo, Annalisa; Cervellieri, Salvatore; Visconti, Angelo; Pascale, Michelangelo (2014)
    Rapid Analysis of Deoxynivalenol in Durum Wheat by FT-NIR Spectroscopy.
    in Toxins (Basel)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • De Girolamo, Annalisa; Cervellieri, Salvatore; Visconti, Angelo; Pascale, Michelangelo (literal)
Pagina inizio
  • 3129 (literal)
Pagina fine
  • 3143 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.mdpi.com/2072-6651/6/11/3129 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 6 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 15 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 11 (literal)
Note
  • ISI Web of Science (WOS) (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 (literal)
Titolo
  • Rapid Analysis of Deoxynivalenol in Durum Wheat by FT-NIR Spectroscopy. (literal)
Abstract
  • Fourier-transform-near infrared (FT-NIR) spectroscopy has been used to develop quantitative and classification models for the prediction of deoxynivalenol (DON) levels in durum wheat samples. Partial least-squares (PLS) regression analysis was used to determine DON in wheat samples in the range of <50-16,000 g/kg DON. The model displayed a large root mean square error of prediction value (1,977 g/kg) as compared to the EU maximum limit for DON in unprocessed durum wheat (i.e., 1,750 g/kg), thus making the PLS approach unsuitable for quantitative prediction of DON in durum wheat. Linear discriminant analysis (LDA) was successfully used to differentiate wheat samples based on their DON content. A first approach used LDA to group wheat samples into three classes: A (DON <= 1,000 g/kg), B (1,000 < DON <= 2,500 g/kg), and C (DON > 2,500 g/kg) (LDA I). A second approach was used to discriminate highly contaminated wheat samples based on three different cut-off limits, namely 1,000 (LDA II), 1,200 (LDA III) and 1,400 g/kg DON (LDA IV). The overall classification and false compliant rates for the three models were 75%-90% and 3%-7%, respectively, with model LDA IV using a cut-off of 1,400 g/kg fulfilling the requirement of the European official guidelines for screening methods. These findings confirmed the suitability of FT-NIR to screen a large number of wheat samples for DON contamination and to verify the compliance with EU regulation. (literal)
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