A method for detecting bacterial drug resistance based on AIE fluorescent probe

Abstract

The invention relates to the technical field of trace detection, in particular to a method for detecting bacterial drug resistance based on an AIE fluorescent probe. The method comprises the following steps: configuring the bacterial strain to be tested to a bacterial suspension having a McFarland turbidity of 0.5 with physiological saline; drawing 6PD‑DPAN fluorescent probe and diluting the above bacterial suspension into MOPS buffer to prepare a mixed solution; Add the above-mentioned mixed solution to each well of the bacterial 96-well plate, and add different concentrations of antibacterial drug solutions to each well except the first well to prepare several samples to be tested, detect and record the initial fluorescence intensity value; incubate the above-mentioned sterile 96-well plate with the sample to be tested, and detect and record the fluorescence intensity value of the sample to be tested at each incubation period. The detection method of the present invention is simple and easy to implement, utilizing the aggregation-induced luminescent properties and high photostability of the 6PD-DPAN fluorescent probe to monitor the kinetic process of the binding of the 6PD-DPAN fluorescent probe to the bacterial strain in real time.

Description

technical field [0001] The invention relates to the technical field of trace detection, in particular to a method for detecting bacterial drug resistance based on an AIE fluorescent probe. Background technique [0002] Bacterial susceptibility testing (AST) is an important means to provide information on the susceptibility of clinical pathogens to different antibacterial drugs, and it is of great value in guiding clinical medication, monitoring treatment effects, discovering drug-resistant strains, and developing and screening new antibacterial drugs. However, the traditional antibacterial susceptibility test (AST) is a growth-based antimicrobial susceptibility test method, which depends on the growth of microorganisms. Therefore, it takes 24-48 hours or longer to reach the level that can be distinguished visually or by instruments. However, it is difficult to accurately and reproducibly determine the growth focus of bacterial strains, coupled with the strong subjectivity of...

AI Technical Summary

Problems solved by technology

However, the traditional bacterial susceptibility test (AST) is a growth-based drug susceptibility test method, which depends on the growth of microorganisms. Therefore, it takes 24-48 hours or longer to reach the level that can be distinguished visually or by instruments.

However, it is difficult to accurately and reproducibly determine the growth focus of bacterial strains, coupled with the strong subjectivity of the result judgment, the inability to measure the MIC value (disc diffusion method), and limited applicable drugs and strains, it cannot bring timely clinical results. Feedback of results not only affects the precise medication of critically ill patients, but also greatly affects the clinical value of drug sensitivity testing

[0003] In order to avoid these problems, several other test methods have been reported, including fluorescein-labeled phage method, electrochemical detection method, real-time PCR method and method based on nanoparticles, etc., but these methods also have disadvantages: expensive instruments, High cost, complicated operation, low sensitivity and high repeatability limit the application of the above methods

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