EFS12- Book of abstracts - Contact
EFS12- Book of abstracts - Contact
EFS12- Book of abstracts - Contact
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SESSION 2: SECONDARY METABOLITES – BIOCHEMISTRY,<br />
BIOSYNTHESIS, FEED AND FOOD SAFETY<br />
P38 - Prediction <strong>of</strong> deoxynivalenol content in wheat by<br />
Near Infrared Reflectance Spectroscopy<br />
C. Tibola, J. M. C. Fernandes, M. Nicolau<br />
Brazilian Agricultural Research Corporation, Embrapa Wheat, Rodovia BR 285, km 294, 99001-970,<br />
Passo Fundo, RS, Brazil<br />
E-mail: casiane.tibola@embrapa.br<br />
The main Brazilian wheat growing area is located in the South, where the main<br />
limiting factor for wheat production is the excess <strong>of</strong> humidity, which favors<br />
Fusarium Head Blight (FHB) outbreaks. The mycotoxin analysis requires the<br />
development <strong>of</strong> rapid, reliable and sensitive screening methods, in order to meet<br />
legislation requirements and to protect consumers. Near infrared spectroscopy<br />
(NIRs) has been used as a method to predict the quality and safety <strong>of</strong> different<br />
agricultural products due to the speed <strong>of</strong> analysis, minimal sample preparation<br />
and low cost. The objectives were to conduct a large-scale and multi-year<br />
deoxynivalenol (DON) monitoring and to develop a NIRs calibration model based<br />
on DON results obtained by liquid chromatography-tandem mass spectrometry<br />
(LC-MS/MS). A total <strong>of</strong> 412 wheat kernel samples and 450 ground wheat samples<br />
from southern Brazilian wheat-growing regions, during the 2009 to 2011 cropping<br />
seasons, were analyzed. The wheat samples were scanned by NIRs before and<br />
after the milling process. Only the ground samples were analyzed for DON<br />
concentration by the reference method. The results from LC-MS/MS indicated that<br />
DON was abundant in the region and it was detected in 390 samples from 450<br />
analyzed (86,6% <strong>of</strong> the total analyzed samples), in all period. The mean DON<br />
content was 1,516 µg kg -1 , ranging from 140 to 8,025 µg kg -1 . Cross-validation<br />
indicated that the calibration model was able to discriminate between low and<br />
high DON levels, for both whole wheat and ground wheat, explaining 71% and<br />
83% <strong>of</strong> the variability, respectively. The NIRs technique is promising as a<br />
screening tool to segregate highly contaminated grain, thus providing safer<br />
products for feed and food industry. Furthermore, the technique may be useful to<br />
discard genotypes that accumulate high DON content in wheat breeding<br />
programs.<br />
Keywords: Triticum aestivum, Fusarium graminearum, screening methods,<br />
mycotoxin<br />
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