4 results about "Antibiotic misuse" patented technology

A new antibacterial peptide of Japanese eel A1 Cath2b 143‑174 and its application, belong to the field of biotechnology. The antibacterial peptide is a Cathelicidin family antibacterial peptide of Japanese eel A1 The 143-174 amino acid fragment of Cathelicidin 2b is named as Cath2b A1 Cath2b 143‑174 , and the amino acid sequence is shown as SEQ ID NO. 3. The antibacterial peptide has high inhibition / killing activity on various aquatic pathogenic bacteria, has excellent thermal stability and salt ion tolerance, and has no obvious toxicity to host cells; it plays a bactericidal role by destroying the bacterial cell membrane, and can also attract host immune cells to enhance immunity. The antibacterial peptide can be applied in the preparation of aquatic animal bacterial disease prevention and control drugs. It can solve the problems of drug resistance and drug residue caused by the abuse of traditional antibiotics, and is convenient to prepare, has strong adaptability, and is suitable for the prevention and control of bacterial diseases of aquatic animals.

The application discloses an antagonistic bacterium of pathogenic shewanella of Apostichopus japonicus and application thereof, and belongs to the technical field of aquatic microorganisms. Gilvus japonicus The antagonistic bacterium is separated from the intestinal tract of healthy Apostichopus japonicus and is identified as Japanese Yellow Sea Oceanic Bacterium (Shewanella japonica), has no beta-hemolysis characteristic, is safe and non-toxic to Apostichopus japonicus, and can significantly antagonize the pathogenic bacterium Shewanella of Apostichopus japonicus skin rot syndrome. The application also discloses application of the antagonistic bacterium, which can be prepared into an aquatic microecological preparation for preventing and treating the skin rot syndrome of Apostichopus japonicus, and is applied through intraperitoneal injection or immersion, so that the survival rate of Apostichopus japonicus under exposure of the pathogenic bacterium is significantly improved. The strain has strong salt and alkali resistance, tolerances to various antibiotics and chemical drugs, and strong environmental adaptability, can be applied to the cultivation of Apostichopus japonicus to replace traditional antibiotics, effectively solves the problems of food safety and environmental pollution caused by the abuse of antibiotics, and has good industrial application prospect.

This invention belongs to the field of shrimp farming technology, specifically relating to a method for raising Litopenaeus vannamei larvae using bioflocs. The method includes the following steps: (1) preparing raceway-shaped bioflocs; (2) preparing functional bioflocs; and (3) raising mysids and larvae; and raising adult larvae. This invention provides an effective method for raising Litopenaeus vannamei larvae without the use of antibiotics, solving the problem of antibiotic abuse during the larval stage, and is of great significance for promoting the green and healthy development of the shrimp larval industry.

This application discloses an intelligent monitoring method, electronic device, and medium for porcine reproductive and respiratory syndrome (PRRS) based on multimodal perception and semantic retrieval. The method includes: real-time acquisition and preprocessing of multimodal data from pigs in a pigsty; construction of a PRRS knowledge graph; vectorization of data for different modalities to obtain query vectors; filtering candidate rules based on keyword matching; calculating a comprehensive score based on the candidate rules; sorting the comprehensive scores in descending order and outputting the top K rule texts; generating initial results based on a large language model; validating the initial results based on logical rules in the knowledge graph; and outputting the results after successful validation. This invention employs multimodal data fusion and a RAG architecture, combined with multi-sensor methods to capture early symptoms of PRRS, achieving standardized monitoring and reducing misdiagnosis and antibiotic overuse. It also supports dynamic updates of the knowledge base, full-process offline deployment to ensure data security, and rule validation to reduce medication risks.