Chinese Academy of Sciences

Xiupin Wang

Peiwu Li

Qi Zhang

Wen Zhang

Huali Xie

Xiaoxia Ding

Xuefang Wang

Liangxiao Zhang

Xiaofeng Yue

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.

Early warning method before occurrence of aflatoxin contamination

The invention belongs to the field of chemical analysis and detection, and specifically relates to a pretreatment method for LC-MS detecting metabolomics of Aspergillus flavus. The method includes: culturing a strain of Aspergillus flavus; quenching the Aspergillus flavus; disrupting the cell membrane of Aspergillus flavus, and extracting a metabolome. The invention adopts a cold glycerol buffer solution combined with a rapid filtration method for quenching, and a MeOH/DCM/ACN/EA/HCOOH mixture is used as an metabolome extract, thereby achieving the object of efficiently extracting different polar compounds, and metabolome compound coverage is high; pretreatment of the cell metabolomics of Aspergillus flavus by the method of the invention can ensure the repeatability and stability of the metabolomics analysis method and reduce the false positive of the test results.

Pretreatment method for LC-MS detecting metabolomics of Aspergillus flavus

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Hubei, China

Xiupin Wang