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

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Abstract

Deoxynivalenol (DON) is a mycotoxin mainly produced by several Fusarium species occurring in cereals andderived products. Rapid, robust and inexpensive methods using Fourier-Transform-Near Infrared (FT-NIR)spectroscopy have been recently developed at ISPA-CNR to predict DON levels in durum wheat. LinearDiscriminant Analysis (LDA) models were developed based on different cut-off limits (i.e. 1000, 1200 and1400 ?g/kg DON) that were set at levels lower than the EC maximum limit for DON in unprocessed durumwheat (i.e. 1750 ?g/kg). The overall classification rates of models were 89-91% with false compliant valuesof 3-7%. Model using a cut-off of 1400 ?g/kg fulfilled the requirement of the European official guidelinesfor screening methods. Partial Least-Squares (PLS) regression analysis was also used to determine DONcontent in wheat samples in the range of <50-6000 ?g/kg (as determined by a reference HPLC method). Themodel displayed good regression quality with a root mean square error (RMSE) of prediction of 868 ?g/kg.The feasibility of using FT-NIR spectroscopy was also investigated to rapidly predict DON in durum wheatbran at levels up to 1600 ?g/kg by both LDA and PLS analysis. The LDA model used a cut-off value of 400?g/kg that was lower than the EC maximum limit for DON in bran (i.e. 750 ?g/kg) and displayed aclassification rate of 80% with 5% of false compliant samples. Good performance results were also obtainedby applying the PLS statistical model, confirming a good fit between HPLC and FT-NIR data in the testedrange with an RMSE of cross-validation of 191 ?g/kg.These findings confirmed the suitability of FT-NIR to rapidly screen a large number of wheat samples forDON contamination and to verify the compliance with EU regulation.

Autore Pugliese

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

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Anno di pubblicazione

2014

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