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The African swine fever detector is a disease prevention and control equipment used in pig farming, slaughtering, and cold chain processes. Its core function is to accurately identify the presence of African swine fever virus in samples through specific detection techniques, providing scientific basis for early detection and disposal of diseases. Unlike traditional manual observation and diagnosis, this type of equipment can directly detect the virus itself, avoiding misjudgment caused by atypical clinical symptoms in pigs and cutting off the chain of virus transmission from the source.

At present, the mainstream African swine fever detection equipment is mainly based on fluorescence quantitative PCR technology, which achieves accurate determination by detecting specific nucleic acid fragments of the virus. Its workflow covers four key steps: sample processing, nucleic acid extraction, PCR amplification, and result analysis. The entire process can be completed within 2-4 hours, which can meet the needs of daily monitoring and emergency epidemic investigation in breeding farms. Whether it is the entrance inspection of pig breeding enterprises, batch inspection of slaughterhouses, or supervision and sampling inspection of animal husbandry and veterinary departments, the African swine fever detector can provide reliable detection data and become a part of the African swine fever prevention and control system.

For large-scale pig farms, equipping African swine fever detectors can achieve "self inspection and self-protection", reduce reliance on third-party testing institutions, lower testing costs, and improve prevention and control efficiency. In the process of introducing piglets, testing the introduced pigs can avoid introducing infected pigs; In daily monitoring, regular sampling of pig manure and blood samples can timely detect potential infection risks. At grassroots veterinary stations, such equipment is an important tool for conducting regional disease monitoring and helping to build a prevention and control network.