Multi-gene detection method of Listeria monocytogenes based on quantum dot/graphene oxide nanometer platform

Abstract

The invention discloses a multi-gene detection method of Listeria monocytogenes based on a quantum dot / graphene oxide nanometer platform and belongs to the technical field of gene nanometer detection. The multi-gene detection method of Listeria monocytogenes comprises the following steps of: selecting two or more than two genes of the Listeria monocytogenes as target points of genetic detection and designing two pairs or more than two pairs of genetic PCR (Polymerase Chain Reaction) amplimers according to the analysis result of a gene conserved area; amplifying two or more than two genetic special sequences at the same time according to the principle of LATE-PCR to obtain a corresponding single stranded amplification product; then, hybridizing the single stranded amplification product with a quantum dot fluorescence probe; and finally, quenching and removing the non-hybridized quantum dot probe by using graphene oxide. When the target gene does not exist, all quantum dot fluorescence probes are quenched. On the contrary, when the target gene exists, corresponding fluorescent signals are obtained. The detection method has high detection reliability to Listeria monocytogenes.

Description

technical field [0001] The invention belongs to the technical field of gene nanometer detection, in particular to a method for detecting multiple genes of Listeria monocytogenes based on a quantum dot / graphene oxide nanometer platform. Background technique [0002] Foodborne pathogens are one of the important reasons affecting food safety, seriously threatening human health, and bringing huge economic losses to human society. According to the U.S. Centers for Disease Control and Prevention, there are 7,600 cases of food-borne pathogens in the U.S. each year, including 5,000 deaths. Therefore, a complete food pathogen detection method system has become an important measure for the supervision of food safety in countries all over the world. Foodborne pathogenic bacteria come from various sources, can multiply rapidly in food, and can survive in harsh environments, which brings great challenges to the detection, prevention and treatment of foodborne pathogenic bacteria, and po...

AI Technical Summary

Problems solved by technology

These technologies have completely changed the original foodborne pathogen detection technology system, but the above methods have their own shortcomings, such as low signal-to-noise ratio, background signal interference, use of toxic and harmful reagents, cumbersome steps, etc., and Most of these technologies are based on single-gene detection technologies. For highly infectious, highly pathogenic and widespread food-borne pathogens, detection technologies that only focus on single genes cannot obtain sufficient reliability and are prone to false positives. Negative and missed tests and other issues

Images