FT-NIR spectroscopy for rapid analysis of deoxynivalenol in wheat and wheat bran.

Abstract

Deoxynivalenol (DON) is a type B trichothecene mycotoxin mainly produced by several Fusarium species occurring in cereals and derived products. Fourier-Transform-Near Infrared (FT-NIR) spectroscopy has been used to develop classification and quantitative models for the rapid analysis of DON in durum wheat and durum wheat bran.Linear Discriminant Analysis (LDA) was successfully used to differentiate highly contaminated durum wheat samples from low contaminated ones in the range of <50-16000 µg/kg. Three LDA models were developed based on different cut-off limits (i.e. 1000, 1200 and 1400 µg/kg DON) that were set at levels lower than the EC maximum limit for DON in unprocessed durum wheat (i.e. 1750 µg/kg). The overall classification and false compliant rates were 75-91% and 3-7%, respectively, with LDA model using a cut-off of 1400 µg/kg fulfilling the requirement of the European official guidelines for screening methods. On the other hands, the partial least-squares (PLS) regression analysis gave models with a large root mean square error (RMSE) of prediction value (1,977 ?g/kg) as compared to the EU maximum limit for DON, thus making the PLS approach unsuitable for quantitative prediction of DON in durum wheat.The feasibility of using FT-NIR spectroscopy to rapidly predict DON in durum wheat bran at levels up to 1600 µg/kg was also investigated by both LDA and PLS analysis. The LDA model used a cut-off value of 400 µg/kg that was lower than the EC maximum limit for DON in bran (i.e. 750 µg/kg) and displayed a classification rate of 80% with 5% of false compliant samples. Good performance results were also obtained by applying the PLS statistical model in the tested range with an RMSE of cross-validation of 191 µg/kg. These findings confirmed the suitability of FT-NIR spectroscopy to rapidly screen a large number of wheat samples for DON contamination and to verify the compliance with EU regulation.


Tutti gli autori

  • De Girolamo A.; Lippolis V.; Cervellieri S.; Bernardi N.; Pascale M.

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2015

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