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

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Abstract

Deoxynivalenol (DON) is the most commonFusariummycotoxin occurring in wheat and wheat-derived products,with several adverse and toxic effects in animals and humans. Although bran fractions produced by milling wheat havenumerous health benefits, cereal bran is the part of the grain with the highest concentration ofDON, thus representing a risk forconsumers. Increased efforts have been made to develop analyticalmethods suitable for rapid DON screening.RESULTS: The applicability of Fourier transform near-infrared (FTNIR), or mid-infrared (FTMIR) spectroscopy, and their combinationfor rapid analysis of DON in wheat bran, was investigated for the classification of samples into compliant andnon-compliant groups regarding the EU legal limit of 750 ?gkg-1. Partial least squares-discriminant analysis (PLS-DA) andprincipal component-linear discriminant analysis (PC-LDA) were employed as classification techniques using a cutoff value of400 ?gkg-1 DON to distinguish the two classes. Depending on the classification model, overall discrimination rates were from87% to 91% for FTNIR and from86% to 87% for the FTMIR spectral range. The FTNIR spectroscopy gave the highest overall classificationrate of wheat bran samples, with no false compliant samples and 18% false noncompliant samples when the PC-LDAclassification model was applied. The combination of the two spectral ranges did not provide a substantial improvement inclassification results in comparison with FTNIR.CONCLUSIONS: Fourier transform near-infrared spectroscopy in combination with classification models was an efficient toolto screen many DON-contaminated wheat bran samples and assess their compliance with EU regulations.

Autore Pugliese

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  • De Girolamo A.; Cervellieri S.; Cortese M.; Porricelli A.C.R.; Pascale M.; Longobardi F.; von Holst C.; Ciaccheri L.; Lippolis V.

Titolo volume/Rivista

Journal of the Science of Food and Agriculture

Anno di pubblicazione

2018

ISSN

0022-5142

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