A qualitative and quantitative detection method for food microorganisms

A technology of microorganisms and target microorganisms, applied in the biological field, can solve the problems of inaccurate qualitative and quantitative detection of microorganisms, and achieve the effect of fine detection results, high resolution, and guaranteed probability

Active Publication Date: 2019-07-23
JIANGHAN UNIVERSITY
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of inaccurate qualitative and quantitative detection of microorganisms in the prior art, the embodiment of the present invention provides a qualitative and quantitative detection method for microorganisms in meat food

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 qualitative and quantitative detection method for food microorganisms
  • A qualitative and quantitative detection method for food microorganisms
  • A qualitative and quantitative detection method for food microorganisms

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Identification of Pork Contaminating Microorganisms

[0041] The sample to be tested is food, and the sample to be tested in this embodiment is raw pork purchased from the Zhuankou Market in Wuhan. It is possible to determine whether it is safe to eat the raw pork by detecting the microorganisms that may be contaminated in the sample to be tested.

[0042] Step 1. Determining the target microbial group in the sample to be tested, target microorganisms and non-target organisms, and reference microorganisms that do not exist in the sample to be tested, the specific method is as follows:

[0043] The number of target microbial groups ≥ 1, and each target microbial group includes ≥ 0 target microorganisms; target microorganisms can be bacteria, viruses, fungi, actinomycetes, rickettsia, mycoplasma, chlamydia, spirochetes, algae and protozoa at least one of the animals. The purpose of this example is to identify Salmonella enterica in the sample to be tested, which is the m...

Embodiment 2

[0089] Embodiment two, the identification of lettuce contaminating microorganism

[0090] The sample to be tested in this embodiment is lettuce purchased from the Zhuankou Market in Wuhan, and the detection of possible contaminated microorganisms in the sample to be tested can determine whether it is safe to eat the lettuce, especially if it is not cooked. Embodiment 2 of the present invention is similar to the method of Embodiment 1, and the methods, parameters and results not mentioned are the same as those of Embodiment 1.

[0091] Step 1. Determining the target group of microorganisms in the sample to be tested, the target microorganisms and non-target organisms, and the reference microorganisms that do not exist in the sample to be tested. The specific method and results are the same as in Example 1.

[0092] Step 2. According to the reference genome sequence of the target microorganism group, the reference genome sequence of the target microorganism, the reference genome...

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 qualitative and quantitative detection method for food microorganisms, which belongs to the field of biotechnology. The method comprises the following steps: determining target microbial groups, target microorganisms and non-target organisms, and reference microorganisms that do not exist in the test sample; designing target microbial groups and target microbial characteristic regions; designing Multiple amplification primers for the characteristic region; after adding reference microorganisms and exogenous nucleic acids to the sample to be tested, extract the nucleic acid of the microorganisms in the sample to be tested; use the designed multiple primers to amplify the microbial nucleic acid, and obtain a characteristic sequencing fragment; Characteristic sequencing fragments qualitatively and quantitatively analyze the microorganisms in the sample to be tested. The present invention does not need to pre-cultivate and proliferate microorganisms, and can perform high-throughput, high-accuracy, and high-resolution detection of multiple known microorganisms in a sample to be tested at one time, and the detection process is simple, fast and standardized.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a qualitative and quantitative detection method for microorganisms in meat food. Background technique [0002] Food is easily contaminated by a variety of harmful microorganisms, causing harm to human life and health. Therefore, accurate qualitative and quantitative detection of food microorganisms is very necessary. [0003] Existing qualitative and quantitative detection technologies for food microorganisms include morphological counting, chip detection, 16S rRNA sequencing, metagenomic sequencing and real-time quantitative PCR (Polymerase Chain Reaction, polymerase chain reaction). Morphological counting detection requires pre-cultivation of microorganisms, which takes a long time, non-culturable microorganisms cannot be detected, and only one type of microorganism can be detected at a time, the throughput is low, the sampling amount is limited when counting, and the results are r...

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): C12Q1/6869C12Q1/6851C12Q1/04C12Q1/06
CPCC12Q1/6851C12Q1/6869C12Q2537/143C12Q2535/122C12Q2545/114
Inventor 陈利红方治伟彭海
Owner JIANGHAN UNIVERSITY
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