Early warning method before aflatoxin pollution
A technology of aflatoxin and early warning, which is applied in the field of analysis and detection, can solve the problems of lack of early warning, etc., and achieve the effect of detection analysis, high sensitivity detection analysis, and high sensitivity
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Embodiment 1
[0051] Example 1 Pre-warning molecular screening of aflatoxin-producing strains
[0052] By systematically investigating the metabolic diversity attributes of Aspergillus flavus populations and combining machine learning technology to screen early warning molecules that can effectively distinguish high and low virulence-producing strains, the main steps are as follows:
[0053] Selection of representative samples: Prepared according to standard operating procedures, and select strains from the strain library according to the information of the strain library of the Aspergillus flavus population and according to the geographical origin.
[0054] Sample preparation: Aspergillus flavus was activated on solid medium, cultured in Sabouraud liquid medium which is conducive to toxin production, and mycelium samples of different Aspergillus flavus strains were obtained.
[0055] Sample pretreatment, including metabolome sample quenching, mycelia grinding, adding extraction solution co...
Embodiment 2
[0091] Example 2 Study on early warning of toxin-producing Aspergillus flavus in agricultural products
[0092] There is a neglected problem in the current risk assessment process of actual peanut samples, that is, usually we only detect whether the aflatoxin in the sample exceeds the standard, and we still know little about the potential risk of the sample that does not exceed the standard. We assume that if the peanut sample is infected by Aspergillus flavus, the humidity and other conditions are not suitable for the growth of Aspergillus flavus, and it is temporarily in a dormant state. At this time, the aflatoxin in the peanut sample does not exceed the standard, and even cannot detect aflatoxin. With suitable humidity conditions, such samples will face a high risk of aflatoxin contamination.
[0093]In order to solve the above existing problems, we use the above-mentioned developed toxin-producing Aspergillus flavus early warning molecules, by adding the peanut samples th...
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