Summary |
This unique technique achieves rapid, simple and quantitative diagnostics for the AST based on Brownian motion of functionalized particles combining with immunoassays. As bacteria bind to the particles, Brownian motion will decline due to the increase of equivalent particle diameter. This instrument features rapid (<3 h), less wasteful (<3 μL), low-cost and low limit of detection (100 cfu/mL). |
Scientific Breakthrough |
For rapid antimicrobial susceptibility testing, there are currently no commercial instruments or technologies available on the market. Generally, the traditional minimum inhibitory concentration (MIC) is used to detect the disc diffusion test. E-test, agar dilution test or broth dilution test is the main method, usually takes one to several days. Automation equipment is BioMérieux VITEK 2 and BD Phoenix systems are the mainstream. The advantage lies in the detection principle of turbidity, redox and so on. The detection result is the closest to the traditional method. However, the acquisition cost is expensive and it takes 8-24 h to know the result. The aim of the project is to develop a fast (<3 h), accurate quantification of bacterial resistance using fluorescent microparticle Brownian motion with only a small (<3 μL) sample and low detection concentration (~100 CFU/mL). The detection technology is called microbead bioparticle detection probe. During the process, we modified the fluorescent particles to specific antibodies (for specific bacteria) or functional groups (for all bacteria) by means of immunization. When there is a specific antigen or target in the specimen solution, the microparticles attached to the bacteria will increase the effective radius, thereby changing the Brownian motion, thereby judging the presence or absence of the pathogen and its precise quantity. Ultimately, it is expected that the established detection methods can achieve the objectives of reducing the time required for the test, consumables, consumables and increasing sensitivity on the technical side. This technology can be applied in the aquaculture industry to detect the number of bacteria in fish farms. It can also be used in the food industry to detect whether the number of bacteria is excessive. In medical treatment, effective antibiotic control and reduction of waste of medical resources are achieved. In the academic field, new application research directions can be opened up. |