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Assessing Risk of Fumonisin Contamination in Maize Using Near-Infrared Spectroscopy
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Fumonisins are major mycotoxins found worldwide in maize and maize products. Because of their toxicity for both human and animals, European Union regulations were created to fix the maximal fumonisin B1 and B2 content allowed in foods and feeds. Unfortunately, directly measuring these mycotoxins by current analytical techniques is tedious and expensive and most measurement methods do not lend themselves to online control. Alternative approaches to chemical analysis have been developed and involve models that allow the mycotoxin contamination to be predicted based on environmental conditions and analysis by near-infrared (NIR) spectroscopy. In the present work, we use NIR spectroscopy to determine the fumonisin and fungal contents of 117 samples of maize. The determination coefficient between fumonisin and fungal-biomass content was 0.44. We establish herein a threshold for the number of CFUs for fungal biomass beyond which the fumonisin content is likely to exceed the European regulatory level of 4000 μg/kg. In addition, we determine the fungal content by using a NIR-spectroscopy model that allows us to sort samples of maize. Upon calibration, the percentage of well-classified samples was 96%, which compares favorably to the 82% obtained by independent verification.
Title: Assessing Risk of Fumonisin Contamination in Maize Using Near-Infrared Spectroscopy
Description:
Fumonisins are major mycotoxins found worldwide in maize and maize products.
Because of their toxicity for both human and animals, European Union regulations were created to fix the maximal fumonisin B1 and B2 content allowed in foods and feeds.
Unfortunately, directly measuring these mycotoxins by current analytical techniques is tedious and expensive and most measurement methods do not lend themselves to online control.
Alternative approaches to chemical analysis have been developed and involve models that allow the mycotoxin contamination to be predicted based on environmental conditions and analysis by near-infrared (NIR) spectroscopy.
In the present work, we use NIR spectroscopy to determine the fumonisin and fungal contents of 117 samples of maize.
The determination coefficient between fumonisin and fungal-biomass content was 0.
44.
We establish herein a threshold for the number of CFUs for fungal biomass beyond which the fumonisin content is likely to exceed the European regulatory level of 4000 μg/kg.
In addition, we determine the fungal content by using a NIR-spectroscopy model that allows us to sort samples of maize.
Upon calibration, the percentage of well-classified samples was 96%, which compares favorably to the 82% obtained by independent verification.
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