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Rapid prediction of deoxynivalenol contamination in wheat bran by MOS-based electronic nose and characterization of the relevant pattern of volatile compounds.

Authors :
Lippolis V
Cervellieri S
Damascelli A
Pascale M
Di Gioia A
Longobardi F
De Girolamo A
Source :
Journal of the science of food and agriculture [J Sci Food Agric] 2018 Oct; Vol. 98 (13), pp. 4955-4962. Date of Electronic Publication: 2018 May 13.
Publication Year :
2018

Abstract

Background: Deoxynivalenol (DON) is a mycotoxin, mainly produced by Fusarium sp., most frequently occurring in cereals and cereal-based products. Wheat bran refers to the outer layers of the kernel, which has a high risk of damage due to chemical hazards, including mycotoxins. Rapid methods for DON detection in wheat bran are required.<br />Results: A rapid screening method using an electronic nose (e-nose), based on metal oxide semiconductor sensors, has been developed to distinguish wheat bran samples with different levels of DON contamination. A total of 470 naturally contaminated wheat bran samples were analyzed by e-nose analysis. Wheat bran samples were divided in two contamination classes: class A ([DON] ≤ 400 µg kg <superscript>-1</superscript> , 225 samples) and class B ([DON] > 400 µg kg <superscript>-1</superscript> , 245 samples). Discriminant function analysis (DFA) classified wheat bran samples with good mean recognizability in terms of both calibration (92%) and validation (89%). A pattern of 17 volatile compounds of wheat bran samples that were associated (positively or negatively) with DON content was also characterized by HS-SPME/GC-MS.<br />Conclusions: These results indicate that the e-nose method could be a useful tool for high-throughput screening of DON-contaminated wheat bran samples for their classification as acceptable / rejectable at contamination levels close to the EU maximum limit for DON, reducing the number of samples to be analyzed with a confirmatory method. © 2018 Society of Chemical Industry.<br /> (© 2018 Society of Chemical Industry.)

Details

Language :
English
ISSN :
1097-0010
Volume :
98
Issue :
13
Database :
MEDLINE
Journal :
Journal of the science of food and agriculture
Publication Type :
Academic Journal
Accession number :
29577312
Full Text :
https://doi.org/10.1002/jsfa.9028