The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 16, 2024

Filed:

Oct. 15, 2021
Applicant:

Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Hubei, CN;

Inventors:

Qi Zhang, Hubei, CN;

Peiwu Li, Hubei, CN;

Huali Xie, Hubei, CN;

Xiupin Wang, Hubei, CN;

Xiaofeng Yue, Hubei, CN;

Wen Zhang, Hubei, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/30 (2006.01); G01N 30/72 (2006.01); G01N 30/86 (2006.01);
U.S. Cl.
CPC ...
G01N 30/8675 (2013.01); G01N 30/7233 (2013.01); G01N 30/8631 (2013.01); G01N 30/8693 (2013.01);
Abstract

The present invention relates to an early warning method before the occurrence of aflatoxin contamination. The steps are as follows: extracting toxins from the sample to obtain a sample extract, and subjecting the sample extract to detection and analysis by liquid chromatography-high resolution mass spectrometer, performing qualitative analysis based on the mass spectrometry information to obtain qualitative results, performing quantitative analysis based on a standard curve of the chromatographic peak area of each warning molecule/the peak area of the internal standard-warning molecule concentration to obtain quantitative results of these warning molecules, wherein a risk of aflatoxin contamination of the sample is assessed to obtain a classification prediction model, inputting the quantitative results of the warning molecules for a toxigenic strain of, and outputting a risk assessment result based on the classification prediction model, thereby achieving the early warning before aflatoxin contamination occurs.


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