Harmful bacterium real-time detecting method and detecting device in water environment for fish-farming based on micro-fluidic chip

Abstract

The invention discloses a harmful bacterium real-time detecting method and a detecting device in a water environment for fish-farming based on a micro-fluidic chip; the harmful bacterium which exists in the environment for fish-farming and corresponding sensitization latex are fully mixed in the micro-fluidic chip to be subjected to an agglutination reaction, the degree of the agglutination reaction is judged by the change of absorbance of mixed liquid generated by the agglutination reaction and the mixed liquid is finally converted into the concentration of the harmful bacterium in water environment for fish-farming to be output; the bottom part of an original water sample bacterium desorption structure is connected with a water pump and an original water sample inlet, the top part of the original water sample bacterium desorption structure is connected with a high-density non-biologic grain output pipeline and an adsorption push-pump type filtering structure; an electric mixing micro-fluidic chip is provided with a micro mixing chamber, a bacterium sample inlet and a sensitization latex inlet; and the device provided by the invention realizes the fully-automatic online monitoring process of the harmful bacterium in water environment for fish-farming from the extraction of the original water sample to the output of a detecting result, can monitor the harmful bacterium content in the original water sample in an online real-time manner and can early alarm the bacterial diseases of fishes.

Description

technical field [0001] The invention relates to a detection technology for harmful bacteria in fish-raising water environment, in particular to a real-time detection method and device for harmful bacteria in fish-raising water environment based on a microfluidic chip. Background technique [0002] my country is a big aquaculture country. At present, aquaculture production is facing serious disease threats. There are more than 300 kinds of aquaculture diseases, and about 1 / 10 of the aquaculture area suffers from diseases every year. The annual aquaculture production loss due to diseases accounts for about 30%. The direct economic The losses are more than 10 billion yuan, and the morbidity and fatality rates of bacterial fish diseases are close to or exceed 50%. Therefore, real-time monitoring of fish diseases has become a research hotspot in the aquaculture industry. Patent application number 200410041911.5 discloses a fish disease automatic diagnosis method and its device us...

AI Technical Summary

Problems solved by technology

The current rapid detection methods for harmful bacteria in the water environment for fish farming include bacteriological detection methods, molecular biology detection methods and immunological detection methods. Although these methods can detect harmful bacteria in water, the sample configuration and detection links are relatively complicated. Therefore, it can only be used as an offline detection method

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