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  • Our objective was to investigate the possibility to use Fourier transform near-infrared (FT-NIR)spectroscopic technique for determination of deoxynivalenol (DON) and nivalenol (NIV)mycotoxins in spring barley caryopses. Both mycotoxins are produced by Fusarium species causing Fusarium head blight. The barley grain samples from inoculated and non-inoculated field trials performed at four locations in the year 2012 were used for analyses. The spectroscopic data were collected using the FT-NIR Nicolet Magna device. All samples were analysed by a reference method of ultra high pressure liquid chromatography coupled to ultra-high resolution mass spectrometry (UHPLC-Orbitrap MS) at the Institute of Chemical Technology in Prague. The statistics of the calibration and of the cross-validation of the FT-NIR data for DON and NIV showed that the best predictive ability was obtained using the first derivation of spectra. The correlation coefficient of calibration and cross-validation models for DON reached 0.875 and 0.513 and for NIV 0.828 and 0.744, respectively. Due to the very low content of mycotoxins in samples the calibrations are applicable only for detection of highly contaminated grain lots.
  • Our objective was to investigate the possibility to use Fourier transform near-infrared (FT-NIR)spectroscopic technique for determination of deoxynivalenol (DON) and nivalenol (NIV)mycotoxins in spring barley caryopses. Both mycotoxins are produced by Fusarium species causing Fusarium head blight. The barley grain samples from inoculated and non-inoculated field trials performed at four locations in the year 2012 were used for analyses. The spectroscopic data were collected using the FT-NIR Nicolet Magna device. All samples were analysed by a reference method of ultra high pressure liquid chromatography coupled to ultra-high resolution mass spectrometry (UHPLC-Orbitrap MS) at the Institute of Chemical Technology in Prague. The statistics of the calibration and of the cross-validation of the FT-NIR data for DON and NIV showed that the best predictive ability was obtained using the first derivation of spectra. The correlation coefficient of calibration and cross-validation models for DON reached 0.875 and 0.513 and for NIV 0.828 and 0.744, respectively. Due to the very low content of mycotoxins in samples the calibrations are applicable only for detection of highly contaminated grain lots. (en)
Title
  • A Verification of the Possibility of Mycotoxin Determination in Barley Caryopses by NEAR-Infrared Spectroscopy
  • A Verification of the Possibility of Mycotoxin Determination in Barley Caryopses by NEAR-Infrared Spectroscopy (en)
skos:prefLabel
  • A Verification of the Possibility of Mycotoxin Determination in Barley Caryopses by NEAR-Infrared Spectroscopy
  • A Verification of the Possibility of Mycotoxin Determination in Barley Caryopses by NEAR-Infrared Spectroscopy (en)
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  • RIV/62156489:43210/13:00212407!RIV15-MSM-43210___
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  • 59187
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  • RIV/62156489:43210/13:00212407
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  • nivalenol; barley; FT NIR; deoxynivalenol; mycotoxins (en)
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  • [DDFF3108DA34]
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  • Mendelova univerzita v Brně
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  • Faculty of Agronomy
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  • MendelNet 2013 - Proceedings of International PhD Students Conference
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  • Bradáčová, Marta
  • Bezděková, Kristýna
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number of pages
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  • Mendel University in Brno, Zemedelska 1, 613 00 Brno, Czech Republic
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  • 978-80-7375-908-7
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  • 43210
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