191 results about "Biosecurity" patented technology

The present application relates to the technical field of aquaculture monitoring and regulation, and discloses a water quality multi-parameter real-time online monitoring system. The system comprises a multi-source data acquisition module for obtaining and denoising water quality data; a time sequence feature analysis module for generating multi-dimensional feature clusters containing the correlation of various parameters; an anomaly identification module for dynamic deviation compensation, monitoring sub-domain demarcation and key parameter extraction; a collaborative regulation module for constructing a regulation decision unit to generate a multi-parameter collaborative regulation strategy; and an iterative correction module for correcting the regulation strategy to output real-time adjustment instructions. An early warning module is also provided for biological safety assessment and early warning and activation of the emergency intervention mechanism. The system can accurately monitor the multi-parameters of the water quality of aquaculture in real time, realize intelligent regulation and biological safety early warning, effectively improve the yield and quality of aquaculture, reduce the risk of aquaculture, and promote the sustainable development of the industry.

The invention provides a method for constructing a watershed ecological safety pattern based on multi-target management, and the method comprises the steps: forming the construction of a watershed hydrology and water resource safety pattern, a water pollution safety pattern, a biological safety pattern and a historical and cultural heritage safety pattern through key node and landscape structure analysis, landscape pattern control mode analysis and other spatial analysis technologies; carrying out superposition calculation on different importance degrees of different grids under different target security patterns, carrying out ecological suitability analysis through landscape features and structures, then judging key areas and nodes for guaranteeing the ecological security pattern of the watershed, and correspondingly determining the positions of the key areas needing to maintain the ecological current situation or carry out ecological construction optimization; the comprehensive optimization research of the drainage basin multi-target ecological safety pattern construction technology is carried out, and multiple different-dimension management targets such as drainage basin function layout optimization, water quality pollution treatment, water resource space-time optimization configuration, biodiversity conservation, historical and cultural heritage protection and subsequent government function management and policy and measure compilation are optimized and realized at the same time.

The invention discloses an intelligent scheduling and resource management system for a microbiological detection laboratory, and relates to the technical field of intelligent management, and the system comprises a resource distribution module which carries out the space-time resource distribution of biological safety constraints through a quantum computing adaptive modeling method, generates a task scheduling optimization problem, carries out the optimal solution search through a quantum annealing algorithm, and carries out the optimization of the optimal solution; obtaining a reference resource scheduling scheme; the scheduling module is used for analyzing through a preset public health risk monitoring threshold value, and adjusting resource application and allocation by utilizing a dynamic resource recombination algorithm to obtain a resource scheduling instruction; the collaboration module is used for predicting a laboratory reagent consumption trend by adopting a metabonomics data analysis method, constructing a cross-laboratory emergency resource sharing path through a GAN network and outputting an emergency resource sharing scheme; according to the method, the biosecurity isolation rule is converted into the quantum bit coupling relation through quantum computing adaptive modeling, and the resource scheduling efficiency and the instrument utilization rate of high-grade experiments are improved.

The invention belongs to the technical field of data processing, and relates to a disinfectant verification method based on Jerlin codes. The invention aims to solve the problem of biological potential safety hazards that the identity and the state are separated in the anti-counterfeiting verification of the existing disinfectant, and the titer of the liquid medicine falls off the threshold value due to environmental factors cannot be identified. The method comprises the following steps: in response to a code scanning operation, analyzing a Jerlin code to obtain a factory fingerprint, and splicing cloud logistics and terminal storage data to form a full-link environment monitoring sequence; calculating an environment pressure acceleration coefficient of each time slice by using a nonlinear kinetic model, and evaluating the damage degree of the environment to chemical properties; calculating accumulated chemical loss and residual titer based on the coefficient; and comparing the residual titer with a threshold value, and if the residual titer reaches the standard, generating a dynamic hash token containing titer information for cloud verification. According to the invention, deep combination of physical efficacy and digital verification is realized, and the use safety and reliability of the disinfectant are greatly improved under the condition that an expensive sensor is not needed.

The invention discloses a biosecurity risk scheme prediction generation method and system based on a knowledge graph. The method comprises the steps of obtaining a biosecurity event, and inputting text information of the biosecurity event into a latest risk type Transform model to obtain a biosecurity risk type of the biosecurity event; selecting a risk type map architecture corresponding to the biological safety risk type; extracting entity content from text information of the event by using a latest biosecurity field GPT model, and writing the entity content into a corresponding node of the selected risk type map architecture to obtain a target risk type map; taking a triple of head and tail nodes written into entity contents in the target risk type map as a risk factor text vector, and constructing a risk factor text vector set; and inputting the risk factor text vector set into a GPT model for generating a latest solution, outputting a solution text vector through training, and generating a solution of the biological safety event based on the solution text vector.

The utility model relates to the technical field of animal harmless treatment, and discloses horizontal high-grade biosafety laboratory animal residue treatment equipment, which comprises a cabin body, a feeding port, a discharging port, a feeding port and a discharging port, the support frame is arranged at the lower part of the cabin body; the separation sealing door is arranged in the cabin body, and the feeding port and the discharging port are located on the left side and the right side of the separation sealing door; the crushing device is arranged above the discharge hole; and the feeding device is used for moving materials from the feeding hole to the crushing device on the other side of the separation sealing door. The separation sealing door is arranged in the cabin body, the feeding device and the smashing device are arranged on the left side and the right side of the separation sealing door, the feeding device can enable animal carcasses to be subjected to high-temperature and high-pressure sterilization treatment and then convey the animal carcasses to the smashing device to be smashed, and safety in the animal carcass treatment process is guaranteed; and the operation complexity is reduced.

The invention relates to the technical field of livestock and poultry breeding epidemic prevention, and discloses a biological safety system suitable for a breeding community, comprising: a space partition and hardware facility module for constructing a physical framework; the four dynamic line closed-loop management modules are used for executing a one-way flow standard operation instruction; the environment pressure gradient regulation and control module is used for maintaining stable air pressure gradients in areas with high safety levels to low safety levels, the integrated monitoring module is used for acquiring real-time data through a sensor network, and the biological safety state interlocking management and control module decides according to the real-time data, automatically issues instructions and regulates and controls hardware facilities and the environment pressure gradients in a linkage mode, so that intelligent active defense is achieved. Spatial partition, hardware facilities, dynamic line processes, environment regulation and control and intelligent interlocking management and control are systematically integrated, a set of multi-level and closed-loop comprehensive biological security defense system is constructed, and the defect of systematic prevention and control vulnerabilities in the prior art is overcome.

The invention discloses a multi-index fusion-based biotechnology product risk dynamic identification method and system, and relates to the technical field of biological safety management, and the method comprises the steps: S1, obtaining experimental data and environmental data from each stage of a transgenic crop life cycle, constructing a dynamic data set containing a molecular structure sequence, a function performance index and an ecological impact factor, and carrying out the construction of a dynamic data set; extracting the mutation frequency of the molecular structure sequence along with the time change, the abnormal fluctuation of the function expression index and the dynamic change trend of the ecological influence factor; s2, according to molecular structure sequence mutation frequency and functional performance index abnormal fluctuation, extracting a nucleotide replacement mode and a functional abnormality data set of the gene editing product in a research and development stage and an application stage, and determining a nucleotide replacement mode and a functional abnormality association mode; according to the biotechnology product risk dynamic identification method and system based on multi-index fusion, accurate prediction and dynamic management of ecological risks of transgenic crops are realized, and the environmental release safety is remarkably improved.

The invention discloses a ventilation control system and method for a biological safety facility, and relates to the technical field of ventilation control. Pressure sensors are deployed indoors and outdoors, and indoor and outdoor air pressure is monitored to judge whether the current indoor negative pressure environment is qualified or not; if the current indoor negative pressure environment is qualified, indoor air quality is obtained, and an air quality abnormal value is calculated; calculating an abnormal rising value of the indoor temperature; obtaining the number of indoor personnel and calculating a personnel fluctuation value; according to the air quality abnormal value, the temperature rising abnormal value and the personnel fluctuation value, whether the ventilation air volume of the current biological safety facility needs to be controlled and adjusted or not is determined; therefore, whether the negative pressure environment goes wrong or not can be detected in time, ventilation of biological safety facilities is controlled in time according to actual conditions, the indoor negative pressure environment is adjusted, it is ensured that pollutants cannot be accumulated or diffused in a laboratory, the risk that workers are exposed is reduced, and the pollutants cannot be leaked into the environment; and the safety of external personnel and the surrounding environment cannot be endangered.

The invention discloses a clinical laboratory specimen full-process tracking and biosafety early warning management system, and relates to the technical field of medical biosafety management, and the system comprises a multi-modal data collection module which integrates various devices and comprehensively collects specimens and related data; the intelligent identification and verification module adopts an advanced algorithm to process the image, completes compliance judgment and traceability verification, and outputs a comprehensive data packet; the dynamic risk assessment module calculates a risk coefficient and matches a five-color early warning level; the grading early warning and linkage disposal module determines an early warning grade, quantifies disposal intensity, and realizes visual management and control and closed loop; according to the method, accurate determination of specimen compliance and full-process traceability verification are realized through deep analysis of an algorithm, data quality and management accuracy are improved, meanwhile, a dynamic risk assessment mechanism is constructed, risks are graded accurately, disposal intensity is quantified, risk visual management and control and closed-loop management are realized, and normalization and controllability of biological safety management are enhanced.

The invention discloses a method for regulating out-of-season breeding of large yellow croakers bred in autumn. The method is characterized in that spawning in spring and summer is achieved through a three-stage technical system of biological safety prevention and control, precise environment regulation and control and reproductive physiological intervention. The method specifically comprises the following steps: 1) detecting trypanosomes; 2) parent fish screening; (3) parent fish rearing; 4) artificial propagation; 5) artificial incubation; and 6) seedling cultivation. According to the method, the out-of-season spring and summer breeding technology breakthrough of breeding the large yellow croaker in autumn is successfully achieved through nutrient enrichment, accurate temperature parameter regulation and control, gradual illumination regulation and reasonable hormone treatment. According to the technology, an adjustable reproduction synchronization scheme is provided for cross breeding between a spring reproduction group and an autumn reproduction group, and the technology has important application value for germplasm innovation of the large yellow croaker.

The utility model discloses a high-fidelity quick sampling device of a high-grade biological safety dissecting room, which relates to the technical field of biological sampling devices, and comprises a barrel, a first end of the barrel is provided with a cavity, an inlet communicated with the cavity is arranged at the first end of the barrel, scale marks are arranged outside the barrel, a first cutting part is arranged at the first end of the barrel, and a second cutting part is arranged at the second end of the barrel. The first cutting part has a cutting state and an idle state; the operation part is connected with the cylinder body, the operation part and the inlet are arranged in an avoiding manner, and a barrier layer is arranged between the operation part and the cylinder body; the blocking layer enables substances such as pathogens not to be attached to the operation part, the operation part is detachably connected with the second end of the cylinder body and the blocking layer, and therefore the situation that the pathogens attached to the cylinder body and the blocking layer are attached to the next biological tissue, errors are caused to follow-up identification and analysis of the next biological tissue can be avoided as far as possible. And high fidelity during sampling of different biological tissues is realized.

The invention provides a multi-temperature-zone intelligent regulation and control medical cold chain system aiming at the problems of differentiated temperature requirements and biological safety in medicine cold chain transportation. The system is based on a multi-stage semiconductor refrigeration technology and a PCMS composite thermal insulation structure, a plurality of temperature zones which can be independently managed are arranged in the same box body, and a multi-source sensor array and an improved thermal coupling equation are combined; partitioned temperature fine control and cooperative energy consumption management are carried out on biological agents (such as vaccines, plasma and pathogen specimens) with different sensitivities and storage and transportation requirements. Layered energy storage and energy release are carried out in multiple temperature intervals through the phase change materials, self-adaptive compensation is carried out on factors such as box vibration, inclination and environment sudden change through a main control algorithm, and the medicine failure risk caused by temperature chain scission and overshoot is remarkably reduced. On the basis, the invention also provides a cloud big data analysis and remote scheduling mechanism, information such as real-time temperature curves, energy consumption indexes and pre-estimated residual cooling capacity of multiple temperature zones can be synchronously uploaded, potential faults and route congestion are automatically identified by means of a distributed algorithm, and then an energy-saving or emergency cooling instruction is issued to the box body. For extreme cryogenic requirements and high-risk pathogen scenes, the stability and the isolation protection level of a cryogenic area can be enhanced through the additional refrigerant circulating unit and the biological safety isolation cabin, and it is ensured that stable low temperature and high safety can still be kept in long-time cross-regional transportation.

Disclosed herein is a waste encapsulation method comprising: (i) placing an adhesive composition into a compactor; (ii) placing one or more flexible containers containing waste material into the compactor; (iii) heating the binder composition to liquefy the binder composition and embedding the waste into the liquefied binder composition to form a coated mixture; and (iv) compacting the coating mixture and forming a hydrophobic composite article containing the waste material.

The present application relates to the field of genetic engineering, and in particular to a vector for analyzing plant promoter expression specificity, a preparation method and application thereof. The T-DNA region of the vector comprises, from 5' end to 3' end, a callus-specific promoter-driven selection marker gene expression cassette and a reporter gene expression cassette with a multiple cloning site; the callus-specific promoter-driven selection marker gene expression cassette comprises a callus-specific promoter, a selection marker gene coding sequence and a terminator. The vector of the present application utilizes a rice callus-specific promoter to drive the expression of a selection marker gene, can greatly reduce the non-specific interaction with the promoter of a target gene, improve the specificity of the expression of the target gene, and effectively reduce the biological safety risk caused by the selection marker gene in a transgenic plant, and has important application value in basic theoretical research and molecular breeding.

This invention provides a negative pressure isolation live microscope experimental box. The experimental box, through its closed negative pressure design, ensures the biosafety of experiments with pathogens of BSL-2 level and above, meeting the requirements of the safety committee review. At the same time, its innovative box-type integrated window structure eliminates the vibration torque caused by animal movement in traditional suspended windows from a mechanical design perspective, providing unparalleled stability for high-precision imaging. Ultimately, it makes it possible to safely and stably conduct live microscopic studies of highly pathogenic infection models in a conventional laboratory.

This invention provides a method for monitoring and evaluating the risk of pathogenic bacteria transmission in poultry farm feces, belonging to the field of livestock and poultry biosecurity control technology. The method includes evaluating the risk of Salmonella transmission during the poultry physiological cycle, assessing the risk of antibiotic resistance associated with drug administration behavior, and monitoring the function during composting based on microbial community structure and metabolic function. This invention can accurately locate the highest-risk nodes of pathogen contamination and antibiotic resistance evolution during the breeding cycle, solving the problem of inaccurate identification of risk sources in existing technologies and avoiding poultry product contamination due to missed risk assessments. It overcomes the single-dimensional limitation of existing technologies that only detect the quantity of pathogens, comprehensively evaluating pathogen risk from phenotypic, molecular, and functional levels. The assessment results are more in line with the actual biosecurity needs of poultry farming, ultimately reducing the safety risks of poultry product contamination and the spread of antibiotic resistance.

The invention provides a biological safe and efficient fattening field, and belongs to the technical field of livestock breeding. A negative pressure isolation belt is formed by the outer shell and the inner shell, so that external air is forced to flow through the visible light catalysis quantum dot layer to realize pathogen inactivation while the gas flow rate is controlled. An optical fiber sensing siphon is arranged below the slatted floor to monitor sewage pathogenic bacteria in real time. Live pigs enter the house through the third-stage buffer channel. The system breaks through the limitation of a traditional physical barrier, full-path blocking of a transmission chain of epidemic diseases such as African swine fever is achieved, and the biological safety level is improved by two orders of magnitude.

The invention discloses an intelligent monitoring method, device and equipment for livestock breeding and a storage medium, and relates to the technical field of intelligent monitoring of livestock breeding, and the method comprises the steps: S100, data collection and time synchronization; s200, carrying out adaptive denoising and cross-modal feature extraction; s300, carrying out individualized baseline modeling and drift self-adaption; s400, performing multi-scale event association and weak causal identification; s500, risk grading and executable intervention suggestion generation; according to the method, priority disposal decision and resource optimization are oriented to economic and biological safety, namely, path confidence scores and node influence probabilities are integrated into calculation of influence ranges and expected intervention cost, and confidence-driven uncertainty premium is reflected in the cost, so that alarms not only reflect biological risks, but also reflect uncertain premium in the cost; the potential economic influence and the operation cost can be quantified; based on the multi-dimensional score, the method can preferentially put limited veterinarians and epidemic prevention resources, medicines and isolation measures into a cluster which contributes to group health and productivity loss risk to the greatest extent.

The invention relates to the technical field of animal epidemic disease prevention and control and farm biosafety, in particular to a safe reproduction method for an African swine fever virus nucleic acid positive pig farm. A pollution area is determined through accurate risk assessment and gridding dynamic management, environment purification is achieved by combining thorough cleaning and disinfection with hardware upgrading and process reconstruction, and finally, a positive field is successfully converted into a negative field capable of achieving full-load stable production by relying on a triple guarantee system of environment monitoring, microbiological assessment and sentinel pig biological verification. According to the invention, through accurate risk assessment and dynamic grid management, visual positioning of a pollution area is realized; high-efficiency cleaning and disinfection are combined with hardware upgrading and process reconstruction, so that viruses are thoroughly removed, and transmission is blocked; based on environmental nucleic acid, microbial culture and sentinel pig triple verification, biological safety and reliability are ensured. Finally, the positive field is successfully converted into a negative field for stable production, and a systematic and reproducible safe reproduction scheme is provided for the industry.

The present invention provides a primer-probe combination, a kit and an application for rapid detection of DON-producing Fusarium based on MIRA, which belongs to the field of biosafety technology. The present invention applies MIRA detection technology to DON-producing Fusarium detection for the first time, and compares the main DON-producing Fusarium with the Three Toxigenic gene clusters are screened for highly homologous sequences as specific amplification targets, and primer-probe combinations are designed for real-time fluorescence MIRA detection. The resulting primer and probe combination for detecting DON-producing Fusarium has strong specificity and high sensitivity. The method of detecting DON-producing Fusarium using a primer and probe combination for detecting DON-producing Fusarium has the advantages of simple operation, portable supporting equipment, short time consumption, high sensitivity, and automatic result interpretation. The amplification detection takes only about 20 minutes, which can achieve rapid on-site detection, timely discover the risk of DON-producing Fusarium contamination, intervene in advance, avoid risks or reverse losses.

The invention discloses an LAMP (loop-mediated isothermal amplification) primer group, a kit and a method for detecting four quarantine viruses and application of the LAMP primer group. Belongs to the technical field of molecular biology and plant quarantine. Aiming at conserved gene regions of bean pod mottle virus, tobacco ringspot virus, tomato ringspot virus and southern bean mosaic virus, a specific target sequence is screened through bioinformatics analysis, an LAMP primer group is designed, and the nucleotide sequence of the LAMP primer group is shown as SEQ ID NO.1-22. Furthermore, the screened primer group is combined with a micro-fluidic chip technology to construct a detection kit capable of synchronously detecting the four viruses, so that the specific identification of the four target viruses is realized. The kit has the advantages of rapidness, sensitivity, specificity, simplicity and convenience in operation and the like, the sensitivity can reach 10 <-10 > Copies / mu L, and the kit is suitable for high-throughput rapid screening of quarantine viruses in imported soybeans on port sites and has important significance in guaranteeing national biosafety.

The present invention discloses a sample analyzer, which includes a housing, a separation module, a detection module and a transfer module. The housing is provided with an installation cavity and an injection port connected to the installation cavity. The housing is also provided with an injection platform corresponding to the injection port. The injection platform is used to place the sample to be tested. The separation module is arranged in the installation cavity. The separation module is provided with a separation cavity. The separation cavity is used to accommodate the sample to be tested. The separation module is used to separate the sample to be tested. The detection module is arranged in the installation cavity and is located on the side of the separation module away from the injection port. The detection module is used to detect the sample to be tested. The transfer module is arranged in the installation cavity. The transfer module is used to transfer the sample to be tested on the injection platform to the separation cavity or the detection module. The present invention aims to provide a sample analyzer that integrates centrifugal separation and detection. The sample analyzer not only simplifies the manual operation steps, but also effectively reduces the biosafety risk of sample contamination, while shortening the detection time.

The invention relates to the technical field of biosafety laboratories, and discloses a biosafety laboratory digital analysis method and system based on the Internet of Things, and the method comprises the following steps: carrying out the matching detection step according to a first sensor and a second sensor of a current detection scene; respectively acquiring state data of a first key object and a second key object through two sensors, wherein the first key object is located in a previous level unit of the second key object; extracting action time and action data from the state data, and calculating an action time period, an action time difference, an action continuous value and an action associated value; calculating a first correlation value, a second correlation value and a comprehensive correlation value according to the values; and finally, comparing the comprehensive association value with a preset reference association value, and if the comprehensive association value is small, performing abnormal state early warning. According to the method, the operation state of the biosafety laboratory can be accurately analyzed in real time, abnormity can be found in time, early warning is carried out, and the biosafety of the laboratory is guaranteed.

This invention discloses recombinant humanized type III collagen, its preparation method, and its applications, belonging to the field of medical materials technology. The amino acid sequence of this recombinant humanized type III collagen is any one of SEQ ID No. 2-6. Compared to traditional extraction methods, the amino acid sequence of this recombinant protein is highly consistent with that of natural human proteins, completely avoiding the biosafety risks of pathogens, prions, etc., that may exist during animal-derived extraction, while also exhibiting lower immunogenicity. Furthermore, this protein effectively maintains the natural biological activity and stability of collagen. When used as a wound dressing, this material can efficiently promote cell migration, spreading, and proliferation, accelerate tissue regeneration and wound healing, while possessing excellent biocompatibility, controllable degradation, and low immunogenicity.

This invention relates to the fields of environmental monitoring and biosafety technology, and in particular to a viral aerosol sampling patch for face masks, comprising: a capture layer for intercepting viral aerosol particles in the air; a culture layer disposed inside the capture layer, the culture layer comprising a culture unit supporting the virus to maintain activity and replicate in the presence of a host, a host bacterium sensitive to the virus, and a visual indicator indicating viral replication or host response; and a base layer disposed inside the culture layer; the sampling patch is fixed to the face mask through the base layer, and viral aerosol collection is achieved without external power through the capture layer, and countable detection results are generated after sampling through the culture layer; utilizing the airflow and humidity conditions naturally formed during wearing, effective interception, activity preservation, and visual detection of viral aerosols are achieved without complex equipment and additional operating steps, and the operation is simple and repeatable.

The invention discloses a stacked caged laying hen breeding management method and system, a terminal and a medium, and relates to the technical field of breeding management. According to the main technical scheme, individual physiological status information of all laying hens in a breeding area is obtained, and when the individual physiological status information does not meet a preset health status threshold value, a physical mark is attached to the body surface of a target laying hen to be processed; and processing information is generated according to the identification information of the physical marks and the breeding position information of the breeding area where the target laying hens to be processed are located. The method is expected to achieve the purposes of finding the abnormal health state of the laying hens in an early stage, further conveniently and quickly isolating the abnormal health laying hens, greatly reducing the risk of cross infection, improving the biological safety level of a henhouse and reducing the outbreak probability of group epidemic situations. And meanwhile, the aims of enabling the laying hens with abnormal health to be visualized and recognizable in a dense group, so that a worker can quickly lock specific abnormal individuals in the dense group during subsequent processing, thereby shortening the positioning time of the worker and improving the response speed are fulfilled.

The invention relates to the technical field of livestock and poultry breeding management and biological safety prevention and control, and discloses a livestock and poultry farm biological safety key hidden danger evaluation method and system based on risk offset factors, and the method comprises the following steps: collecting environment data, animal health data and management measure data of a livestock and poultry farm in real time through Internet of Things equipment and a sensor; the method comprises the steps of collecting multi-dimensional data, preprocessing the collected multi-dimensional data, training a risk assessment model by using a deep learning algorithm based on the processed multi-dimensional data, optimizing a vaccine vaccination rate, a disinfection frequency and an isolation measure by using a particle swarm optimization algorithm or a genetic algorithm, and performing risk assessment based on an optimized risk offset factor and an obtained risk assessment result. According to the invention, the method combines the Internet of Things, deep learning and multi-dimensional data processing, achieves the efficient assessment of the biological safety risk of the livestock and poultry farm, carries out the analysis through the real-time collection of environment, health and management data, and employs a CNN or LSTM model, achieves the precise recognition of potential hazards, and provides a scientific basis for decision making.

The invention relates to a medical xenon recovery system based on multistage filtration and dynamic separation. The medical xenon recovery system comprises a pretreatment and microorganism inactivation module, a gas purification and separation module, a xenon circulation distribution module, an intelligent monitoring system and a dynamic pressure compensation mechanism. The invention further relates to a medical xenon recovery method based on multi-stage filtration and dynamic separation, bacteria are intercepted through the filter screen, viruses are intercepted through large particles, short-wave sterilization ultraviolet LED array irradiation is combined, double barriers of physical interception and ultraviolet inactivation are formed, the method is far superior to a traditional single filtration technology, the grade cleaning standard is met, and the medical xenon recovery method has the advantages of being simple in operation, low in cost and high in efficiency. The system thoroughly solves the biological potential safety hazard of lack of ultra-small virus interception and inactivation in the prior art, can efficiently inactivate respiratory pathogens, can effectively prevent microorganisms in exhaled air from circulating to patients or medical staff through a recovery system, is especially suitable for infectious surgery scenes, and remarkably reduces the risk of cross infection in hospitals.

The application discloses a highly immature duck Tembusu virus, a culture method and application thereof, and belongs to the technical field of biotechnology.According to the method for culturing the highly immature duck Tembusu virus based on the LOVO cell line provided in the application, the duck Tembusu virus obtained by culture loses pathogenicity, the application provides a highly potential candidate strain for developing safe and effective duck Tembusu virus vaccines, opens up a new way for safely producing high-quality diagnostic antigens and vaccine antigens, and significantly reduces the biosafety risk of related research.