Title: Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran
Authors: DE GIROLAMO A.CERVELLIERI SALVATORECORTESE MARINAPORRICELLI ANNA CHIARA RAFFAELLAPASCALE MICHELANGELOLONGOBARDI FRANCESCOVON HOLST CHRISTOPHCIACCHERI LEONARDOLIPPOLIS V.
Citation: JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE vol. 99 no. 4 p. 1946–1953
Publisher: WILEY-BLACKWELL
Publication Year: 2019
JRC N°: JRC109635
ISSN: 0022-5142 (online)
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC109635
DOI: 10.1002/jsfa.9392
Type: Articles in periodicals and books
Abstract: The applicability of Fourier transform near‐infrared (FTNIR), or mid‐infrared (FTMIR) spectroscopy, and their combination for rapid analysis of DON in wheat bran, was investigated for the classification of samples into compliant and non‐compliant groups regarding the EU legal limit of 750 µg kg−1. Partial least squares‐discriminant analysis (PLS‐DA) and principal component‐linear discriminant analysis (PC‐LDA) were employed as classification techniques using a cutoff value of 400 µg kg−1 DON to distinguish the two classes. Depending on the classification model, overall discrimination rates were from 87% to 91% for FTNIR and from 86% to 87% for the FTMIR spectral range. The FTNIR spectroscopy gave the highest overall classification rate of wheat bran samples, with no false compliant samples and 18% false noncompliant samples when the PC‐LDA classification model was applied. The combination of the two spectral ranges did not provide a substantial improvement in classification results in comparison with FTNIR.
JRC Directorate:Health, Consumers and Reference Materials

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.