Mathematical modelling for fumonisin production in corn and chromatographic profile of metabolites of Fusarium verticillioides
DOI:
https://doi.org/10.5433/1679-0359.2008v29n2p361Keywords:
Quality control, Corn, Fumonisins, Predictive modelling.Abstract
Mycotoxin requires special attention in public health due to pathological hazard in human and animals. Among these toxins, emphasized are the fumonisin produced mainly by Fusarium verticillioides, which is primary pathogen in corn. This study aimed the development of mathematical models in fumonisin production, as well as to evaluate the chromatography profile of secondary metabolites of Fusarium verticillioides. Corn (heat-treated or not) was adjusted to 15, 20 and 25% moisture content, and it was inoculated or not with F. verticillioides. These flasks were incubated at 20, 25 and 30º C for 20 days, and the fumonisins were quantified by high performance liquid chromatography (HPLC). The temperature affected the fumonisin production in higher extension than moisture content, and the highest fumonisin level was reached at 20º C with 25% moisture content. The chromatogram profiles showed many peaks with retention time which differed of fumonisin, suggesting diversity in compounds arisen from metabolic pathway, which were also from F. verticillioides. These metabolites were not observed in optimized condition for fumonisin production, showing decreased trend when other fungal growth was increased. The mathematical models predicted the fumonisin level trend at the 20th day’s performance in a real data contamination evaluated in corn, which were submitted to graphical and mathematical/ statistical validations. The mathematical modelling can be an important tool in understanding the dynamic of fumonisin production and further decision of adequate raw material destination.
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