Rapid numerical identification method for enterobacteria of food-borne pathogenic bacteria

Abstract

The invention discloses a rapid numerical identification method for enterobacteria of food-borne pathogenic bacteria. The rapid numerical identification method includes confirming enterobacteria types and positive probabilities; selecting biochemical reaction required in a numerical method; establishing an enterobacteria database and determining a calculating method in the numerical method; detecting and identifying the bacteria to be detected. The rapid numerical identification method for the enterobacteria of the food-borne pathogenic bacteria has the advantages that pure cultures can be subjected to Gram staining, oxidase and OF experiment in advance, and then the rapid numerical identification method is adopted, so that a satisfactory identification result on the enterobacteria can be obtained; by the rapid numerical identification method, 139 bacteria of 31 categories and 8 unclassified floras, namely 159 classified units in total of enterobacteriaceae can be identified, and Yersinia enterocolitica can be identified to 6 kinds of biochemical types; the rapid numerical identification method is much greater in identified bacteria quantity and much higher in identification accuracy than two existing internationally-recognized similar identification methods on the market.

Description

Technical field: [0001] The invention belongs to the technical field of biochemical identification, and in particular relates to a numerical rapid identification method for food-borne pathogenic bacteria Enterobacteriaceae. Background technique: [0002] Food safety is a major issue related to human health and national economy and people's livelihood, and microbiological safety is the top priority of food safety. Due to the rich nutrients in food, the number of rapid reproduction of microorganisms increases geometrically after contaminating food, thus causing serious food safety problems. According to statistics, there were 6,685 food poisoning incidents in my country in 2012, among which microbial food poisoning incidents accounted for the largest number of poisonings, accounting for 56.1% of the total; from 1988 to 2008, a total of 13,405 incidents were reported by the Electronic Foodborne Outbreak Reporting System (eFORS) in the United States. Outbreaks of foodborne disea...

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Problems solved by technology

We found that in the database, Citrobacteramalonaticus (non-malonated Citrobacter) has a certain difference between the API and MID systems on urine enzymes. The positive occurrence probability of API urine enzymes is 1%, while that of MID is 85%. This situation occurs The main reason is that the positive probability of biochemical tests is closely related to the test methods, such as urea, hydrogen sulfide, etc. The frequency of occurrence of different methods is different, so the identification results are inconsistent.

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