360 results about "Pathogen detection" patented technology

The invention discloses a hot air type qPCR instrument, a multi-channel detection optical system and a detection method, and relates to the field of molecular biological detection. The problems that an optical detection system adopted by an existing qPCR instrument mostly depends on a single-channel or double-channel design, sample hole sites need to be switched one by one and detected in a time-sharing mode in the detection process, namely, the efficiency is low in the face of a high-throughput requirement scene are solved, and the system combines multiple LED light sources with an optical filter to generate excitation wavelengths to form a light source module; after the multi-stage dichroscope is utilized to form a light combination module, the light combination module is transmitted to a reaction hole through one branch of the forked optical fiber to excite fluorescent substances, a fluorescent signal is collected through a common end of the forked optical fiber, the other branch of the forked optical fiber outputs a fluorescent signal, and the fluorescent signal is split by the reflection grating to form a light splitting module. And the array CMOS is combined with a spectrum unmixing algorithm to form a detection module for synchronous receiving, so that multi-channel simultaneous high-sensitivity detection is realized. The method is also suitable for the field of multi-pathogen detection and gene expression analysis.

The invention relates to the technical field of germ detection, in particular to a method and a device for detecting response of corn to setosphaeria turcica infection. The method comprises the following steps: acquiring initial spectral reflectivity of corn leaves and environmental parameters of an environment where the corn leaves are located; the environment parameters comprise temperature, humidity and illumination; according to the growth characteristics of the corn leaves in different growth stages, extracting the initial spectral reflectance to obtain a key spectral reflectance; extracting the spatial-spectral characteristics of the key spectral reflectivity, and extracting the time sequence correlation characteristics of the environmental parameters and the key spectral reflectivity; generating a disease sensitive feature vector according to the space-spectrum feature and the time sequence correlation feature; according to the disease sensitive feature vector, determining the infection detection result of the corn leaves responding to the setosphaeria turcica.

A pathogen detection system and method are disclosed. The pathogen detection system includes a pathogen sensor comprising a plasmonically active pathogen sensing area that comprises a hybrid structure of electrically conductive surface and metal nanofractals, forming a surface enhanced Raman spectroscopic (SERS) substrate and a controller comprising a memory storing one or more trained machine learning algorithms, that perform label-free identification and differentiation of a pathogen or the pathogen and a pathogen mutation based on acquired Raman spectra.

An intelligent cooling system for dynamic monitoring, prediction and optimization of storage conditions in real time, consisting of: a refrigerator with heat-insulated walls; a sensor array in the refrigerator comprising temperature sensors, humidity sensors, pressure sensors, and pathogen detection biosensors, the sensor array being configured to continuously monitor internal environmental parameters in the refrigerator and external environmental conditions; a control dashboard configured to display real-time environmental data and enable remote monitoring and manual adjustment of the environment in the refrigerator; an Internet of Things (IoT) communication module configured to transmit the monitored internal and external environmental data to the control dashboard; a proportional-integral-derivative (PID) controller operatively connected to the IoT communication module and configured to analyze the monitored data and calculate correction factors to maintain optimal environmental conditions; a plurality of actuators within the refrigerator, the plurality of actuators comprising a temperature actuator, a humidity actuator, and a pressure actuator, the actuators being configured to independently adjust temperature, humidity, and pressure within the refrigerator based on the control instructions; a processor configured to execute machine learning algorithms to analyze historical and real-time sensor data, predict optimal environmental conditions based on the analyzed data, and generate control instructions for the actuators based on the predicted optimal environmental conditions and the calculated correction factors; and a solar power supply configured to provide energy for operating the system.

The invention relates to the technical field of preventive medicine, and discloses a mouse-borne disease intelligent monitoring and early warning device based on multi-source data fusion, which comprises an environment sensor module, a mouse activity monitoring module, a pathogen detection module, a human case data acquisition module, a data fusion processing unit and an early warning and decision support unit, the data fusion processing unit is used for integrating and analyzing multi-source heterogeneous data from the above modules, and the early warning and decision support unit generates early warning information and prevention and control suggestions based on an analysis result. According to the method, the environment data, the mouse activity data, the pathogen detection data and the human case data are integrated, a multi-dimensional monitoring system is constructed, space-time correlation analysis is performed in combination with a deep learning algorithm, the prediction accuracy of disease outbreak is remarkably improved, the mouse recognition accuracy is high, and the pathogen detection specificity is excellent.

The invention discloses a low-abundance pathogen detection method and system based on metagenome sequencing data, and belongs to the technical field of bioinformatics. The system comprises a species specificity sequence screening module (BactAlert2SSRs), a reference genome database construction module (BactAlert2Lib), a sequence alignment reference genome module (BactAlert2Map), a sequence alignment result analysis module (BactAlert2ID), and an SSRs posterior probability correction module (BactAlert2Rec). The detection system realizes efficient, accurate and reliable detection of low-abundance pathogens, and is suitable for analyzing third-generation metagenome sequencing data.

The invention discloses a hydrogel chip as well as a preparation method and application thereof. The hydrogel chip comprises a chip shell, a hydrogel array and a sample flow channel, wherein the hydrogel array and the sample flow channel are arranged in the chip shell. The hydrogel chip provided by the invention is simple in manufacturing process, convenient to use and low in preparation cost, can realize ultra-multiple pathogen detection, can perform PCR, melting curve analysis and real-time quantitative PCR, can flexibly set detection items according to actual requirements, is high in expandability, can realize multi-target rapid detection, is simple to operate, and is suitable for large-scale popularization and application. And the hydrogel chip is a totally closed reaction system, so that pollution can be effectively prevented.

The invention discloses a method and system for detecting respiratory tract pathogens, pathogen drug-resistant genes and pathogen virulence genes, and relates to the technical field of gene detection.The method comprises the steps that a respiratory tract sample of a patient is collected, DNA and RNA are extracted, and total nucleic acid is obtained; carrying out first-round PCR amplification on the total nucleic acid, purifying a first-round PCR product, carrying out second-round PCR amplification, and sorting the product to obtain a library building product; performing high-throughput sequencing on the library building product to obtain sequencing data, and detecting pathogens, drug-resistant genes and virulence genes; according to the method and system for detecting the respiratory tract pathogens, the pathogen drug-resistant genes and the pathogen virulence genes, by optimizing library preparation and direct library building of nucleic acid, the process is simplified, and efficiency and accuracy are improved; the balance reagent design guarantees library quality; the kit adapts to pathogen detection requirements in Yunnan and the like, provides efficient diagnosis, shortens detection time, improves treatment effect, regularly updates pathogen information, and keeps technical frontier.

The invention belongs to the technical field of biological detection, and particularly discloses a targeted sequencing primer group and a kit for detecting common pathogens of children and drug-resistant genes thereof. The primer group comprises 145 primer pairs of common children pathogen primer groups and 67 primer pairs of drug-resistant gene primer groups of the common children pathogen primer groups. According to the kit provided by the invention, nucleic acid in a clinical sample is directly extracted, 212 pairs of specific primers are adopted to realize multi-targeted amplification of a pathogen target area, a high-throughput sequencing platform is adopted to accurately identify pathogens and drug-resistant mutant genes thereof, 72 common children pathogens and drug-resistant genes thereof can be detected at the same time, and the kit has a wide application prospect. More accurate diagnosis information is provided for clinic, a key technical support is provided for early-stage accurate treatment of children infectious diseases, and the technical problems that in the prior art, in children pathogen detection, the detection speed is low, the number of missed detection is large, and the drug-resistant blind area is large are solved.

Disclosed herein are methods, compositions, and kits related to the identification and / or quantification of target molecules. Furthermore, the disclosure relates to compositions, kits, and methods for detecting and quantifying molecular targets, and especially for detecting and quantifying DNA and RNA The apparatuses and methods. may find use in a variety of applications including prenatal testing detection of pathogens and screening of cancer.

The invention belongs to the field of pathogen detection, and particularly relates to a rapid detection kit for detecting mycoplasma pneumoniae and drug-resistant genes, the kit comprises: a mycoplasma pneumoniae upstream primer, a mycoplasma pneumoniae downstream primer, and a probe for detecting mycoplasma pneumoniae; the kit comprises an upstream primer and a downstream primer of the drug-resistant mutant gene at the 23S rRNA A2063G site of the mycoplasma pneumoniae, and a probe for detecting the drug-resistant mutant gene at the 23S rRNA A2063G site of the mycoplasma pneumoniae. The kit provided by the invention is shorter in actual amplification time and better in detection effect, can provide more accurate and more reference value detection results for clinicians, can complete detection under general instruments in the market, and is better in general applicability and wider in application range.

The present invention "integrated POCT test kit, test tube and test system for detecting 15 diarrhea pathogens" belongs to the field of biomedical testing. The test kit includes: fecal sample pretreatment reagents and pathogen detection reagents; the fecal sample pretreatment reagents include: 1~4M guanidine salt, 20~200mM sodium citrate, 1~10% SDS by volume, 2~10% polidocanol by volume, 25~50% isopropanol by volume, etc., 10~30mg / mL nanocarbon, 10~30mg / mL zeolite powder; pathogen detection reagents include system A, system B, system C, and system D reagents. The present invention also provides a test tube and a test system based on the test kit. The present invention can not only detect 15 pathogens at the same time, but also achieve the purpose of integrated POCT detection with good repeatability of test results, large test sample size, high sensitivity, good specificity, good test timeliness, and sample-in and result-out.

The invention relates to the technical field of nucleic acid on-site rapid visual detection, in particular to a one-pot rapid nucleic acid detection system based on an SfaTnpB combined isothermal amplification technology and application of the one-pot rapid nucleic acid detection system. According to the invention, an RAA isothermal amplification technology and an LAMP isothermal amplification technology are respectively combined with SfaTnpB nuclease, and finally, an RAA-SfaTnpB one-pot method system and an LAMP-SfaTnpB one-pot method system are successfully established. The one-pot system established by the invention has the advantages of high sensitivity, high specificity, fast reaction, strong accuracy and no need of complex equipment, the detection result can be visually interpreted by naked eyes, the system has high convenience and practicability, the adaptability and practicability of the system are further improved, and the rapid detection requirements in various scenes can be flexibly met. The system has a wide application prospect in the fields of rapid pathogen detection, genotype detection, early diagnosis of infectious diseases and the like.

The invention discloses a pathogen detection primer group, a kit and application in eye infection pathogen detection, the detection primer group comprises 162 pairs of primers for 54 pathogenic microorganisms, the interference competition among the primers is small, the 54 pathogenic microorganisms can be detected at the same time by randomly selecting one pair of primers for each pathogenic microorganism, and the detection efficiency is high. When all 162 pairs of primers are selected, the sensitivity and specificity of species identification can be improved, the specific and high-sensitivity detection of bacteria, fungi, viruses, parasites and accurately identified species can be met, and the requirements of clinical accurate diagnosis are met.

The invention provides a pathogen detection method based on targeted high-throughput sequencing. The pathogen detection method comprises the following steps: S1, acquiring NGS original sequencing data of a pathogen sample to be detected and a negative control sample; s2, removing low-quality data from the obtained original sequencing data, then performing host sequence filtering, and finally performing plasmid sequence filtering to obtain high-quality sequencing Read; s3, comparing the pathogen reference genomes to obtain specific Read data; s4, performing classification according to a comparison result, and calculating the specific Read number and the RPM value of each pathogen; s5, constructing a microbial reference genome database, and verifying the species specificity of the specific Read in the NT database; and S6, grading pathogen detection signals in the to-be-detected sample according to the RPM value and the NTRPM value to obtain a result. The method provided by the invention can effectively reduce false positive of a detection result and interference of background signals, the detection result is accurate, and the method can be well applied to the fields of disease diagnosis, epidemiological investigation, public health prevention and control and the like.

The invention provides a construction method of a bacterial pathogen detection model based on nanopore adaptive sampling and deep learning, and a method, equipment, a medium and a program product for detecting bacterial pathogens by applying the model, and relates to the technical field of nanopore sequencing. The bacterial pathogen detection method comprises the following steps: obtaining a water sample to be detected; and inputting a to-be-detected water sample into the detection model constructed in the invention to obtain a detection result of the to-be-detected water sample. The sensitivity and the accuracy of pathogen detection are obviously improved, and the improvement on prevention and control of water-borne diseases is facilitated.

This invention discloses primer compositions, detection products, and applications for detecting 17 pathogens, relating to the field of biotechnology. A primer composition for detecting 17 pathogens includes 17 pairs of amplification primers and 17 extension probes, as shown in SEQ ID NO: 1-51, respectively. This invention also provides detection products comprising the above primer compositions and their application in simultaneously detecting 17 pathogens for non-disease diagnostic purposes. The beneficial effects of this invention are that it designs 17 primer sets to simultaneously amplify DNA fragments containing specific target sequences of 17 pathogens in multiplex PCR, and performs single-base extension of these products using highly efficient single-base primers. Simultaneous detection and identification of 17 pathogens can be achieved using MALDI-TOF MS mass spectrometry, with accurate and highly specific detection results.

The invention discloses a rapid detection and intelligent early warning system for port concerned infectious diseases, and relates to the field of customs quarantine, and the system comprises a target selection unit, a construction unit, a modification unit, an amplification unit, a purification unit, a determination unit and a detection unit. According to the invention, through systematic improvement in the aspects of multi-primer design and modification, amplification system optimization, product purification, multi-dimensional scoring decision and the like, many defects in the aspects of multi-pathogen detection, dimer interference suppression, detection efficiency and sensitivity improvement in the prior art are overcome; rapid, efficient and intelligent screening and real-time early warning of port concerned infectious diseases are realized.

The invention relates to an AI-based M-ROSE medical image pathogen detection method and device, and the method comprises the following steps: combining fluorescence microscopic imaging, an AI model and a computer vision technology to realize automatic analysis of fungus detection and mycobacterium tuberculosis detection, and comprises the following steps: constructing a medical image fungus fluorescence image classification method based on deep learning; carrying out fluorescence staining on a fungus sample, carrying out automatic scanning identification, and carrying out automatic identification and classification through an AI model; a medical image tubercle bacillus detection method based on deep learning is constructed, a tubercle bacillus sample is subjected to acid-fast staining or auramine O staining and then enters an automatic scanning recognition system, and whether tubercle bacillus exists or not is automatically judged in combination with a target detection model; and obtaining an automatic identification result, and judging whether fungus types exist in the sample or not or whether tubercle bacillus exists in the sample. The detection sensitivity, the automation degree and the clinical applicability can be improved.

The invention provides an MNP marker site, a primer group and a kit for identifying multiple pathogens in sewage and application of the MNP marker site, the primer group and the kit. The MNP marker site comprises at least one of MNP-1 to MNP-19, the primer group comprises at least one of a first primer pair to a nineteenth primer pair, and a forward primer of the first primer pair, a reverse primer of the first primer pair to a forward primer of the nineteenth primer pair and a reverse primer of the nineteenth primer pair are sequentially shown as SEQ ID NO: 1 to SEQ ID NO: 38 in a sequence table. The invention provides MNP marker sites for identifying multiple pathogens in sewage, a primer group, a kit and application, the primer group aims at 19 MNP marker sites, 1-3 marker sites are detected for each pathogen, the pathogens in the multiple types of sewage can be identified, the comprehensive, efficient and accurate detection effect is achieved, and the primer group is suitable for identifying the multiple pathogens in the sewage.

This invention provides a primer design method for multiplex PCR targeted sequencing technology. This method combines multiple indicators to carefully screen high-quality species genomes to design primers with high specificity and broad genome coverage. This method effectively optimizes the dimer formation of the primer system, improving the specificity and efficiency of detection. While ensuring high specificity, this technology significantly improves the performance of the multiplex primer system, optimizes the common dimer problem, and ensures the high efficiency of multiple pathogen detection.

The invention discloses a pathogenic bacteria detection kit and a detection method based on RPA-CRISPR / Cas12a. According to the detection method, multiple pathogenic bacteria are synchronously amplified by adopting an RPA technology, and then amplification products are detected by adopting a CRISPR / Cas12a detection system, so that synchronous and rapid detection of the multiple pathogenic bacteria is realized; the pathogenic bacteria detection kit based on RPA-CRISPR / Cas12a uses an RPA technology to perform isothermal amplification on a target gene, does not need to depend on a large-scale thermal cycle instrument, has low experimental requirements, can realize synchronous amplification of multiple pathogenic bacteria molecules within 10-20 min, and can realize synchronous real-time detection of multiple pathogenic bacteria by combining a CRISPR / Cas12a system, so that the detection kit has the advantages of high sensitivity, high specificity, high sensitivity, high sensitivity and the like. The whole pathogen detection process consumes less time and does not exceed 1h; the detection sensitivity is also relatively high and reaches 100 CFU / mL; and synchronous and rapid detection of various pathogenic bacteria in hospital infection is realized.

The invention relates to the field of molecular diagnosis and nucleic acid amplification, in particular to a recombinase polymerization amplification method based on Twinkle helicase enhancement and application of the recombinase polymerization amplification method. According to the invention, Twinkle helicase is introduced into an RPA system for the first time, and primer combination and template unlinking are assisted by utilizing ATP-dependent unlinking activity and DNA annealing activity of the Twinkle helicase, so that the amplification efficiency and the detection sensitivity are remarkably improved. The method is suitable for plasmid DNA, a high GC template and a clinical nucleic acid sample, and can be used for constructing an RPA kit containing Twinkle, so that the application of the RPA kit in pathogen detection, molecular diagnosis and on-site rapid detection is expanded. According to the invention, the defects of the existing RPA technology in sensitivity and stability are overcome, and a new solution is provided for developing a novel nucleic acid self-detection and field detection tool.

The invention belongs to the field of intelligent medical treatment, and particularly relates to a multi-target pathogen detection primer group design method, equipment, a medium and a program product. The method comprises the following steps: acquiring a target gene bank of various pathogens; performing single primer design on the basis of the target gene bank to obtain a single primer set, extracting amplicons of primer pairs in the primer set, and screening to obtain a first layer of primer pair set after specific verification consisting of primer pairs corresponding to the amplicons conforming to species specificity; extracting a sequencing product of the primer pair subjected to the first-layer specific verification, and screening to obtain a second-layer primer pair set subjected to the specific verification, wherein the second-layer primer pair set consists of primer pairs corresponding to the sequencing product conforming to the species specificity of the pathogen; and screening the primer pair set subjected to the second-layer specific verification to obtain an optimized primer group, wherein Panel specificity is taken as a screening condition in the screening process. According to the invention, through the synergistic effect of three-layer verification, better optimization of the design of the multi-target multiple primer is realized.

The invention relates to the technical field of pathogen detection, in particular to a rapid pathogen detection system based on nanopore sequencing, which comprises an acquisition and pretreatment module, which is used for precipitating and centrifuging serum, carrying out layered monitoring, carrying out supernate separation and concentration, and measuring pH value and temperature. According to the invention, the serum is precipitated and centrifuged, and layered monitoring is combined, so that the layered state of the serum sample in the centrifugation process is visualized, and the stability of precipitated particles and the separation precision of supernate are improved. And in the supernatant concentration link, the dynamic monitoring and optimization of the sample purity are realized by measuring the pH value and the temperature and combining the recording of the protein concentration and the turbidity value. Absorbance and viscosity measurement are combined, so that the change of liquid properties can be captured in real time and compared with a pathogen directory range threshold value, and an abnormal sample can be recognized in an early stage.

The invention relates to the technical field of pathogen detection, in particular to a primer probe combination and a kit for detecting various invasive fungi and application of the primer probe combination and the kit. According to the primer and probe combination provided by the invention, a digital PCR (Polymerase Chain Reaction) platform technology is utilized, so that the rapid, efficient, accurate, sensitive and high-specificity simultaneous quantitative detection of Aspergillus fumigatus, Aspergillus, Mucoriums, Cryptococcus and Pneumocystis jirovecii is realized. The rapid detection of the common invasive fungi in sputum, alveolar lavage fluid, urine, blood and other samples is realized, the detection process does not need culture, the detection period is short, the manpower is greatly reduced, and the detection efficiency is improved.

The invention discloses a primer composition for respiratory tract pathogen detection, a related product and application, and belongs to the field of pathogen detection. The primer composition comprises a primer pair aiming at influenza A virus, a primer pair aiming at influenza B virus, a primer pair aiming at bordetella pertussis, a primer pair aiming at adenovirus, a primer pair aiming at respiratory syncytial virus and a primer pair aiming at mycoplasma pneumoniae. The primer composition and related products can be used for simultaneously detecting influenza A viruses (seasonal H1N1, novel influenza A H1N1 viruses (2009), H3N2, H5N1 and H7N9), influenza B viruses (Victoria series and Yamagata series), adenoviruses (group B, group C and group E), respiratory syncytial viruses (subtype A and subtype B), mycoplasma pneumoniae and bordetella pertussis, so that pathogenic pathogens are quickly determined, and the primer composition and related products have important significance on clinical detection.

The invention relates to the technical field of image fusion, and discloses a lightweight and efficient multi-modal data fusion method. According to the method, an improved MobileNetV3-Small network is adopted as a basic feature extractor, parallel branch design in a training stage is optimized through a structure re-parameterization technology, and the parallel branch design is combined into single convolution in a reasoning stage, so that the calculation cost is remarkably reduced; resNet50 is introduced as a teacher model, a soft label is generated through temperature scaling, a student model is guided in combination with KL divergence loss and cosine feature alignment loss, and high-precision feature extraction of a lightweight network is realized; a dynamic weight fusion mechanism is designed, microscopic fluorescence and microfluidic fluorescence image features are fused, and multi-modal information contribution is balanced; aiming at the characteristics of different modal images, preprocessing methods such as guided filtering, CLAHE contrast enhancement, time sequence difference artifact removal and the like are respectively adopted, and effective signals are enhanced. According to the algorithm, the pathogen detection precision is ensured, the model parameter quantity is reduced, and an efficient solution capable of being deployed in an embedded mode is provided for livestock and poultry epidemic disease screening.

The invention discloses a primer probe combination and a kit for detecting nucleic acids of 14 respiratory pathogens and application, and belongs to the technical field of pathogen detection. The technical problem to be solved is that the detection of respiratory pathogens at the present stage is not only limited by a complex operation process, but also is difficult to meet the clinical rapid diagnosis requirement. Meanwhile, due to the inherent technical bottleneck, the problems of insufficient sensitivity, high false negative rate and the like exist. According to the technical scheme, the primer probe combination for simultaneously detecting 14 respiratory pathogens is provided, and based on the Real-time PCR technology, rapid, specific and accurate detection of the 14 respiratory pathogens is achieved.

The invention relates to the technical field of image or video recognition or understanding, and discloses an areca yellows early warning method based on regular economic forest multi-dimensional symptom analysis, in the method, the unique morphology of areca and various morphological changes which are invisible under trees but visible in remote sensing during the period that areca suffers from yellows are fully utilized, and the areca yellows early warning effect is achieved. And the multiple symptoms are combined to form a multi-symptom matching degree, so that the misrecognition problem can be eliminated in an auxiliary manner when specific symptoms exist. When the specific symptoms do not exist, whether the disease of the current areca-nut forest belongs to the infectious disease or not is indirectly judged according to the distribution characteristics of the multi-symptom matching degree in time and space by utilizing the distribution characteristics and the disease course development rule when the areca-nut is cultivated as an economic arbor, and if yes, the disease of the current areca-nut forest belongs to the infectious disease; and considering that the areca yellows occupy a large proportion in the areca infectious diseases, the pathogen detection cannot be infeasible due to entrainment of a large number of irrelevant diseased plant samples when the pathogen detection is carried out at the moment. The above points are combined to realize early warning of areca yellows.