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

Active Publication Date: 2021-02-02
INST OF OIL CROPS RES CHINESE ACAD OF AGRI SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved in the present invention is to provide an early warning method before the occurrence of aflatoxin pollution based on early warning molecules of aflatoxin-producing strains in view of the lack of early warning before the occurrence of aflatoxin pollution

Method used

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  • Early warning method before aflatoxin pollution

Examples

Experimental program
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Effect test

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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Abstract

The invention relates to an early warning method before aflatoxin pollution. The method comprises the following steps: weighing a quantitative sample, carrying out sample toxin extraction to obtain asample extracting solution, carrying out liquid chromatography high-resolution mass spectrometer detection analysis on the sample extracting solution, collecting mass spectrum information, carrying out qualitative analysis according to the mass spectrum information to obtain a qualitative result, and according to the corresponding chromatographic peak area, in combination with an internal standard, performing quantitative analysis based on the standard curve of the chromatographic peak area / internal standard peak area early-warning molecular concentration of each early-warning molecule to obtain quantitative results of the early-warning molecules; inputting a quantitative result of the early warning molecule of the aspergillus flavus toxin-producing strain by using the content of the earlywarning molecule as a variable and a classification prediction model obtained by modeling through a chemometrics method, and outputting a risk assessment result based on the classification predictionmodel to assess the aflatoxin pollution risk of the sample. Early warning before aflatoxin pollution occurs is realized.

Description

technical field [0001] The invention relates to an early warning method before aflatoxin pollution occurs, and belongs to the field of analysis and detection. Background technique [0002] Mycotoxins are secondary metabolites produced by filamentous fungi that can contaminate crops such as peanuts, corn, cotton, and nuts throughout the entire industrial chain. They not only have a high incidence worldwide, causing 25% of the world's annual crops to be polluted by mycotoxins, causing huge economic losses, and seriously endangering people's lives and health. For example, they have carcinogenic, immunosuppressive, hepatotoxic, nephrotoxic, and neurotoxic properties. Aflatoxin is mainly produced by Aspergillus flavus, which is considered to be one of the ten most terrifying fungi in the world. This fungus is widely distributed in the world, including China, and is an important cause of liver cancer in China. At present, many countries have set strict aflatoxin limit standards...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N30/02G01N30/86
CPCG01N30/02G01N30/8675G01N2030/045G01N33/02G01N2030/8872G01N30/7233G01N30/8631G01N30/8693
Inventor 张奇李培武谢华里王秀嫔岳小凤张文
Owner INST OF OIL CROPS RES CHINESE ACAD OF AGRI SCI
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