Hainan fish body drug resistance detection method

Abstract

The invention belongs to the technical field of drug resistance detection, and discloses a Hainan fish body drug resistance detection method. Solutions of a fish are added into a cell lysate to be fully mixed, the mixed sample is put into kits 2 with different conditions after being placed for 5 minutes and then compared with the mixed solution which is not added into the kit by serving as a blankcontrol group, the proportion of fluorescence signals is calculated after data is obtained according to the fluorescence signals, the proportion of the sample is measured, the drug resistance of a mixed solution bacterium is determined, then the drug resistance of the fish body is judged, and an instruction is sent to a remote signal receiver 8 through remote control to control the heating temperature of a heating plate. The Hainan fish body drug resistance detection method has the advantages that a display device receives signals clearly and accurately; a temperature sensor receives the signals and processes information sensitively; and meanwhile the device receives data accurately and can process the data in a classified mode, the detection time is shortened, and a detection result is more accurate.

Description

technical field [0001] The invention belongs to the technical field of drug resistance detection, and in particular relates to a method for detecting drug resistance of Hainan fish. Background technique [0002] Since the first discovery of antibiotics represented by penicillin in the 1920s, it has become a class of drugs for the treatment of bacterial infections. It is also widely used in the elimination of bacteria in water animals, but bacteria are also constantly evolving various resistance mechanisms. Drug-resistant bacterial infections have become a global problem, so the detection of bacterial resistance in fish is particularly important. Traditional methods for detection of drug resistance cannot provide timely and necessary information for the selection of antibiotics for slow-growing bacteria. [0003] In summary, the problems in the prior art are: [0004] Traditional methods of drug resistance detection cannot provide timely and necessary information for the sel...

AI Technical Summary

Problems solved by technology

[0004] Traditional drug resistance detection methods cannot provide timely and necessary information for the selection of antibiotics for slow-growing bacteria

[0005] The display device in the prior art receives signals slowly; the temperature sensor is not sensitive enough; at the same time, the received data is delayed, which prolongs the detection time and causes large deviations in detection results

[0006] The existing power distribution is based on single-point sensing, and the hypothetical sensing environment is often ideal, basically without considering the security of the network, and cannot be well combined with the actual sensing environment. The problem

Poor remote control data accuracy

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