Aflatoxin pollution risk early warning molecule and application thereof
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
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
Active Publication Date: 2021-03-19
INST OF OIL CROPS RES CHINESE ACAD OF AGRI SCI
View PDF7 Cites 9 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0005] The technical problem to be solved in the present invention is to provide aflatoxin pollution risk early warning molecules and their application in view of the lack of early warning methods before the occurrence of existing aflatoxin pollution
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
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...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
Abstract
The invention relates to an aflatoxin pollution risk early warning molecule and application thereof. The method comprises the following steps: weighing a quantitative sample, extracting aflatoxin pollution risk early warning molecules to obtain a sample extracting solution, and detecting and analyzing the sample extracting solution to obtain a quantitative result of the aflatoxin pollution risk early warning molecules; taking the content of one or more aflatoxin pollution risk early warning molecules as a variable, modeling by a chemometrics method to obtain a classification prediction model,and performing risk assessment based on the aflatoxin pollution risk of the classification prediction model sample, wherein the aflatoxin toxin-producing strain early warning molecule is one or a combination of more than one of versiconol (VOH), sterigmatocystin B and 5-MST. The aflatoxin pollution risk early warning molecule discovered by the method has originality, and the early warning method established according to the aflatoxin pollution risk early warning molecule can be used for early warning before aflatoxin pollution occurs.
Description
technical field [0001] The invention relates to a risk assessment method for aflatoxin pollution, belonging 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 to ensure ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more