Method for quickly detecting pathogenic bacteria in blood based on machine code recognition technology

Abstract

The invention discloses a method for quickly detecting pathogenic bacteria in blood based on a machine code recognition technology, comprising the following steps of: designing corresponding universal primers aiming at conserved regions of 16SrDNA and 23SrDNA of Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Staphylococcus epidermidis, Klebsiella pneumoniae, Enterococcus faecalis and Streptococcus pneumoniae infected by blood, and carrying out fluorescence labeling; then, respectively carrying out PCR (Polymerase Chain Reaction) amplification and CE-SSCP (Capillary Electrophoresis Single-Strand Conformation Polymorphism) detection on the DNA of the reference cultures of the seven pathogenic bacteria and the genome DNA of the bacteria of the blood sample to be detected byadopting PCR reaction; and recognizing the detection results by machine codes (binary and decimal codes), and carrying out comparison. The detection method has good repeatability and high sensitivity, can detect the trace genome DNA of pathogenic bacteria, has obvious detection results, and is very suitable for wide application in clinic.

Description

technical field [0001] The invention relates to a detection method for blood infection pathogenic bacteria, in particular to a rapid detection method for blood pathogenic bacteria based on machine code recognition technology. Background technique [0002] Blood infection often occurs in high-risk inpatients who are immunocompromised or undergoing invasive procedures. After infection, the symptoms of poisoning are severe and the mortality rate is high, which is very difficult in clinical work. Traditional detection methods for blood infection pathogenic bacteria mainly rely on biochemical identification after direct culture. This method requires separate cultivation and identification of each pathogen, which generally takes 3-5 days, which is time-consuming, and the test results are greatly affected by factors such as blood collection dose, time of inspection, and timing of medication. The detection of pathogenic bacteria using molecular biology techniques overcomes the abov...

AI Technical Summary

Problems solved by technology

The repeatability and reliability of CE-SSCP technology largely depend on the selection and setting of various indicators in the operation process, such as primer design, electrophoretic voltage intensity, etc., and the traditional CE-SSCP analysis results are represented by peaks , the difference in results needs to be carefully identified and differentiated, and cannot be seen at a glance

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