Growth prediction method of microorganisms included in food in production circulation process

A prediction method and microbial technology, applied in the direction of prediction, reasoning methods, data processing applications, etc., can solve problems such as large errors and complex modeling processes

Inactive Publication Date: 2016-09-07
山东省标准化研究院
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The more environmental factors are considered, the closer the simulation effect of the secondary model is to the real situation of microbial growth during production and circulation, but one more parameter will make the modeling process much more complicated and the error will be large

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
  • Growth prediction method of microorganisms included in food in production circulation process
  • Growth prediction method of microorganisms included in food in production circulation process
  • Growth prediction method of microorganisms included in food in production circulation process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. The following embodiments are explanations of the present invention, but the present invention is not limited to the following embodiments.

[0041] Such as figure 1As shown, a method for predicting the growth of microorganisms contained in food in the production and distribution process provided by the present invention is characterized in that: comprising the following steps:

[0042] 1) Determine the food products under study and the microbial hazard objects that need to be predicted, sort out the production and distribution process of food, and understand the environmental factors that affect the dynamic growth of microorganisms;

[0043] 2) Obtain test data or actual test history records, including the initial number of microorganisms in the food at the beginning of the process n os , environmental factors in the process x m Data, the numb...

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 provides a growth prediction method of microorganisms included in food in a production circulation process. The method comprises the following steps: 1, determining a studied food product and a microorganism harm object needing to be predicted; 2, obtaining test data; 3, determining input and output variables of a prediction model; 4, selecting a fuzzy subclass and a membership function for the input and output variables; 5, displacing the input and output variables with corresponding fuzzy sets, and forming a membership function of the fuzzy sets in terms of the variables; 6, employing a "maximizing-minimizing" fuzzy inference algorithm; 7, establishing a fuzzy relation matrix of the input and output variables; 8, performing defuzzification by use of a gravity center method defuzzification method; and 9, obtaining a prediction value of a microorganism quantity. According to the invention, harm can be discovered and controlled timely in the production circulation process, the harm scope is reduced, the loss is reduced, the cost is decreased, and the capability of an enterprise in preventing and controlling microorganism risks in the food production circulation process is improved.

Description

technical field [0001] The invention belongs to the technical field of predictive microbiology, and in particular relates to a method for predicting the growth of microorganisms contained in food during production and circulation. Background technique [0002] Food safety risks mainly come from physical, chemical and biological hazards, among which biological hazards account for more than 95% of the hazards in the food supply and are the most significant hazards in food safety. Food is easily contaminated by microorganisms during production, processing, transportation, storage, and sales. As long as the temperature is appropriate, microorganisms will grow and multiply, destroying nutrients such as protein in food, making food spoilage or becoming unsafe. Therefore, the prevention and control of microbial hazards has become an important task for food companies to carry out risk management. [0003] At present, microbial inoculum growth experiments carried out in the laborat...

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 Applications(China)
IPC IPC(8): G06Q10/04G06N5/04
CPCG06N5/048G06Q10/04
Inventor 高永超刘丽梅钱恒
Owner 山东省标准化研究院
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap