Method for rapidly and quantitatively analyzing listeria monocytogenes in needle mushrooms based on prediction models

A technique for quantitative analysis of Listeria monocytogenes, which is applied in the field of the invention and belongs to the technical field of identification and application of food microorganisms, achieves the effect of eliminating the work of culturing and detecting food-borne pathogenic bacteria and being easy to operate.

Inactive Publication Date: 2017-01-04
TIANJIN INSTITUE OF QUALITY STANDARD & TESTING OF AGRICULTUAL PRODS
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although Listeria monocytogenes has weak resistance to heat, it still needs 60°C and 30min to be inactivated [4] , so there is still a potential risk based on the way consumers eat Flammulina velutipes

Method used

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  • Method for rapidly and quantitatively analyzing listeria monocytogenes in needle mushrooms based on prediction models
  • Method for rapidly and quantitatively analyzing listeria monocytogenes in needle mushrooms based on prediction models

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Experimental program
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Embodiment 1

[0041] (1) Use: for market supervision, shelf life prediction of samples positive for Listeria monocytogenes in samples of Flammulina velutipes in supermarkets;

[0042] (2) Prediction method: Through market random inspection, it is detected that Listeria monocytogenes in a certain Flammulina velutipes sample is positive, record the initial amount of bacteria and the ambient temperature at which the sample was sold on the supermarket shelf at that time, and apply the prediction model established to obtain the temperature under the condition The maximum specific growth rate, the safe shelf life of the Flammulina velutipes sample can be predicted by the maximum specific growth rate, initial bacterial load, and ambient temperature.

Embodiment 2

[0044] (1) Use: for market supervision, shelf life prediction of Listeria monocytogenes-positive samples in Flammulina velutipes samples in farmers' markets;

[0045](2) Prediction method: Through market random inspection, it is detected that Listeria monocytogenes in a certain Flammulina velutipes sample is positive, record the initial amount of bacteria and the ambient temperature when the sample is sold at the farmer’s market stall at that time, and use the prediction model established to obtain the temperature condition Under the maximum specific growth rate, the safe shelf life of the Flammulina velutipes sample can be predicted by the maximum specific growth rate, initial bacterial load, and ambient temperature.

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Abstract

The invention discloses a method for rapidly and quantitatively analyzing listeria monocytogenes in needle mushrooms based on prediction models. According to the method, traditional microbiology cultivation severs as a base, growth curves of the listeria monocytogenes in the needle mushrooms under different temperature conditions such as 10 DEG C, 15 DEG C, 20 DEG C, 25 DEG C and 35 DEG C are simulated by the aid of subjects such as mathematics and statistics, primary prediction models and secondary prediction models are built, risk prediction of initial fungus amount of in needle mushrooms samples at any environment temperature can be achieved by the models, safety and quality of foods in links such as production, processing, transportation, sale and storage are ensured, and the method provides technical support for safety supervision of in the needle mushrooms.

Description

technical field [0001] The invention belongs to the technical field of food microorganism identification and application, and specifically relates to a method for rapidly quantitatively analyzing Listeria monocytogenes in Flammulina velutipes based on a prediction model. The growth curve of Listeria monocytogenes under different temperature conditions of 10, 15, 20, 25 and 35 ℃, and the first-level and second-level prediction models were constructed, and the initial bacterial load of Flammulina velutipes samples at any ambient temperature can be calculated by using this model Carry out risk prediction to ensure the safety and quality of food in a series of links such as production, processing, transportation, sales, and storage, and provide technical support for the safety supervision of Flammulina velutipes. Background technique [0002] Listeria monocytogenes (Listeria monocytogenes) is one of the food-borne pathogens that have been reported more, paid more attention to, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/06
CPCC12Q1/06
Inventor 赵新兰青阔王永陈锐朱珠刘娜王成
Owner TIANJIN INSTITUE OF QUALITY STANDARD & TESTING OF AGRICULTUAL PRODS
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