A method for using mold metabolites to establish fingerprints and using fingerprints to identify mold species

A technology of metabolites and fingerprints, which is applied in the field of detection and classification of Aspergillus metabolites, can solve the problems of high requirements for molecular identification technicians, complicated extraction process, long detection cycle, etc., and achieve fast and reproducible analysis of toxins Good performance and low detection cost

Inactive Publication Date: 2016-01-20
中华人民共和国潍坊出入境检验检疫局
View PDF5 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In terms of economic value, molecular identification technology has high requirements for technicians, complex extraction process, expensive reagents, and long detection cycle

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
  • A method for using mold metabolites to establish fingerprints and using fingerprints to identify mold species
  • A method for using mold metabolites to establish fingerprints and using fingerprints to identify mold species
  • A method for using mold metabolites to establish fingerprints and using fingerprints to identify mold species

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] Embodiment 1, a method for establishing fingerprints by using mold metabolites, including the steps of cultivating mold metabolites, high-resolution mass spectrometry detection steps, and MetabolomicsXCMS analysis steps, obtaining mold metabolites after known molds are cultured on PDA solid medium, After extraction and purification, high-resolution mass spectrometry detection and MetabolomicsXCMS analysis were performed to obtain the signature metabolites of the mold and the fingerprints of the signature metabolites.

[0064] Cultivation steps of mold metabolites:

[0065] Inoculate the refrigerated Aspergillus parasiticus (3.6156) into the PDA liquid medium, culture it on a shaker at 28°C for 3 days, then inoculate the obtained strains into a sterile Petri dish containing PDA solid medium, spread it evenly, and put it on Cultured at 25°C, the PDA solid medium contains sorbic acid, and the sorbic acid accounts for 0.07% by weight of the PDA solid medium.

[0066] High-...

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

No PUM Login to view more

Abstract

The invention discloses a method for constructing a fingerprint by using mildew metabolites. The method comprises the following steps of culturing a known mildew through a PDA solid culture medium to obtain the mildew metabolites, extracting and purifying the mildew metabolites, performing high-resolution mass spectrometric detection and MetabolomicsXCMS analysis to obtain a symbolic mildew metabolite and a fingerprint of the symbolic mildew metabolite, and obtaining the fingerprint of a mildew to be authenticated by the same method; and then matching the fingerprints with a known symbolic mildew metabolite in a constructed strain metabolite database, and when the accurate mass number errors of the two symbolic metabolites and the appearance time error of the accurate mass numbers are not greater than 1 percent, preliminarily authenticating that the mildew to be authenticated and the known mildew are the same strain. By virtue of selection of culture conditions for toxigenic fungi, extraction and purification of an organic solvent and high-resolution mass spectrum detection of high performance liquid chromatography, by means of a non-targeted metabolism detection technology, on the basis of targeted metabolism detection, the method for constructing the fingerprint by using mildew metabolites has the advantages of low detection cost, high toxin analysis speed and high reproducibility, and the constructed fingerprint can be used for simply identifying the toxigenic fungi of the type.

Description

technical field [0001] The invention relates to a method for detecting and classifying metabolites of Aspergillus, in particular to a method for establishing fingerprints by utilizing metabolites of aspergillus and identifying mold strains by using fingerprints, belonging to the technical field of food safety detection and classification. Background technique [0002] Aspergillus is one of the most common saprophytic fungi in nature, almost everywhere. Many species of Aspergillus cause mildew and deterioration of grains, food, feed and products. Some Aspergillus can produce Secondary metabolites mycotoxins, there are about 400 kinds of mycotoxins that have been discovered so far, and they are an important source of harmful substances in food. These toxin-producing fungal metabolites can contaminate raw materials and feed, and then contaminate food, animals, and enter the human food chain Mycotoxins can not only lead to food spoilage, nutritional loss and quality reduction, b...

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
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G01N30/02
Inventor 宫小明孙军郭礼强刘永强丁葵英田国宁赵晗郝莹
Owner 中华人民共和国潍坊出入境检验检疫局
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products