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Risk assessment and rapid warning system for staphylococcus aureus in fresh and raw milk

A staphylococcus, risk assessment technology, applied in the direction of biological systems, bioinformatics, microbial measurement/inspection, etc., can solve the problems of not considering the potential risk of enterotoxin, enterotoxin production, etc.

Pending Publication Date: 2019-05-31
QINGDAO AGRI UNIV
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AI Technical Summary

Problems solved by technology

However, many risk assessment models only predict and evaluate Staphylococcus aureus itself, without considering the potential risk of enterotoxin or setting a bacterial concentration threshold of 5log CFU / mL by default, that is, assuming that the concentration of Staphylococcus aureus reaches 5log CFU / mL will produce enterotoxin, but in fact Staphylococcus aureus may still produce enterotoxin at low concentration (3log CFU / mL)

Method used

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  • Risk assessment and rapid warning system for staphylococcus aureus in fresh and raw milk
  • Risk assessment and rapid warning system for staphylococcus aureus in fresh and raw milk
  • Risk assessment and rapid warning system for staphylococcus aureus in fresh and raw milk

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Embodiment Construction

[0013] The present invention will be described in detail below in combination with specific embodiments.

[0014] 1) Construction of a prediction model for Staphylococcus aureus and enterotoxin in fresh milk under constant temperature conditions:

[0015] ①Using Baird-Parker selective medium to monitor the contamination of Staphylococcus aureus in raw milk samples. Apply modified Gompertz, Logistic, Baranyi and other models to fit the growth and toxin production of Staphylococcus aureus:

[0016] Gompertz model:

[0017] N t =N 0 +(N max -N 0 )*exp{-exp[(2.718μ max / (N max -N 0 ))*(λ-t)+1]}

[0018] where N t is the colony concentration (log CFU / mL) of microorganisms at time t, N 0 is the colony concentration of the initial microbial count, N max is the maximum colony concentration in time t, μ max is the maximum growth rate (log cfu / h), and λ is the lag period (h).

[0019] Logistic model:

[0020] N t =N 0 +(N max -N 0 ) / {1+exp[-2.718μ max / N 0 *(t-λ+N ...

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Abstract

The invention aims to provide a risk assessment and rapid warning system for staphylococcus aureus in fresh and raw milk. The system includes construction of predictive models of the staphylococcus aureus and enterotoxin in the fresh and raw milk under constant temperature and variable temperature; construction of possible models of the staphylococcus aureus and the enterotoxin in the fresh and raw milk under the effect of multiple environmental factors; engineering inspection the predictive models of the staphylococcus aureus and the enterotoxin; quantitative risk assessment study for the staphylococcus aureus in the fresh and raw milk; rapid early warning system development. The system has the advantage of being capable of accurately predicting the growth of the staphylococcus aureus andthe production of the enterotoxin in the fresh and raw milk.

Description

technical field [0001] The invention belongs to the technical field of food detection, and relates to a risk assessment and rapid warning system for Staphylococcus aureus in fresh milk. Background technique [0002] The establishment of a dairy product safety early warning system is conducive to promoting the quality and safety management of dairy products in my country from post-control to pre-prevention, from empiricism to scientific judgment, and can fundamentally improve the overall level of dairy product quality and safety. [0003] Staphylococcus aureus is one of the four major foodborne pathogens that threaten human health. It has been reported that Staphylococcus aureus is the number one pathogenic microorganism that causes foodborne diseases in milk and dairy products, and it is also the pathogen with the highest detection rate in raw milk. The detection rate is 12-79% due to national and regional differences. wait. At the same time, the Staphylococcus aureus isol...

Claims

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Application Information

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IPC IPC(8): C12Q1/14C12Q1/06G16B5/20G16B5/30
Inventor 王军韩荣伟于忠娜
Owner QINGDAO AGRI UNIV
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