Aflatoxin pollution risk early warning molecule and application thereof
An aflatoxin and risk early warning technology, applied in the field of analysis and detection, can solve problems such as lack of early warning methods, and achieve the effects of detection analysis, high sensitivity detection analysis, and high classification accuracy
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Embodiment 1
[0051] In the following examples, during the establishment of the standard curve: Weigh 200 mg of Aspergillus flavus hyphae into a mortar, grind with liquid nitrogen, and then add 5 mL of PBS buffer solution. It was serially diluted to 0.01, 0.05, 0.1, 0.5, 1, 2, 5, 10, 100 μg / mg mycelia liquid to construct a standard curve. 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 preparatio...
Embodiment 2
[0082] Example 2 Study on early warning of toxin-producing Aspergillus flavus in agricultural products
[0083] 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.
[0084] 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 t...
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