882 results about "Specific detection" patented technology

The invention belongs to the technical field of part defect detection, and discloses an automobile part welding seam defect detection method and system based on body perception, which realize closed-loop control of welding seam defect detection through body perception circulation, improve the perception capability and adaptability of the system and realize high-precision and high-efficiency welding seam defect detection. Firstly, a high-resolution camera and an industrial camera are used for obtaining high-definition images of the automobile parts, and the high-definition images are used for recognizing classification and shapes of the automobile parts; further, comprehensive understanding of the shape of the welding seam is formed through the identified automobile parts and in combination with a localized large model; further, according to comprehensive understanding of the shape of the welding seam, a preset rule and a localization large model are combined, and detection steps and tracks are generated; furthermore, the mechanical arm completes the decomposition and execution of specific detection actions according to the generated detection path, such as moving to a specified position, detecting surface bulges, detecting bubbles and the like.

The invention discloses a specific detection value identification method and device and a computer program product, and the method comprises the steps: S1, collecting the power data of a to-be-detected node of a power system, and transmitting the power data to an edge calculation layer in real time through a distributed operation system; s2, preprocessing the power data at an edge calculation layer to generate standardized time sequence data; s3, extracting time domain statistical features and frequency domain transformation features of the standardized time series data, and fusing high-dimensional features output by a pre-training deep learning model to construct a multi-dimensional feature vector; s4, performing pattern recognition on the multi-dimensional feature vector based on a pre-trained classification or clustering model, and outputting an anomaly detection result; and S5, feeding back an abnormal detection result to the power equipment control unit in real time through the distributed operating system, and triggering an alarm or executing parameter adjustment. According to the invention, efficient distribution of detection results and multi-node parallel processing can be realized, and the system performance is further optimized.

The invention relates to the technical field of environmental air detection, in particular to an environmental air quality detection device and a detection method thereof.The environmental air quality detection device comprises a base, and a case is fixedly mounted at the top of the base. Through the dual protection mechanism of the air inlet mechanism and the cleaning module, the air quality detection accuracy can be effectively guaranteed, in the specific detection period, induced draft fan blades rotate forwards to form negative pressure to suck air, an exhaust window assists in exhausting air, it is ensured that airflow is stable, and after a detection task is completed, an automatic cleaning program of the air inlet mechanism is started; the cleaning frame and the front cleaning group cooperatively operate to scrape dust on the inner walls of the induced draft fan blades and the air inlet pipe and prevent residual dust from falling off and being mixed into air in subsequent detection, meanwhile, the cleaning module continuously sprays, and under the action of countercurrent air driven by reverse rotation of the induced draft fan blades, cleaning liquid fully covers the air inlet pipe and the induced draft fan blades and dissolves dust and oil stains, so that secondary pollution is avoided; and air entering the case is ensured to be clean, so that real and reliable detection data is ensured.

A diffractive optical neural network device includes a plurality of diffractive substrate layers arranged in an optical path. The substrate layers are formed with physical features across surfaces thereof that collectively define a trained mapping function between an optical input and an optical output. A plurality of groups of optical sensors are configured to sense and detect the optical output, wherein each group of optical sensors has at least one optical sensor configured to capture a positive signal from the optical output and at least one optical sensor configured to capture a negative signal from the optical output. Circuitry and / or computer software receives signals or data from the optical sensors and identifies a group of optical sensors in which a normalized differential signal calculated from the positive and negative optical sensors within each group is the largest or the smallest of among all the groups.

The invention provides a specific monoclonal antibody for detecting rotavirus and application of the specific monoclonal antibody, aiming at an epidemic strain of porcine rotavirus, reference to a gene sequence of VP6 protein published by GenBank, antigen epitopes are further optimized, and purified recombinant VP6 protein with antigenicity is obtained for animal immunization. The monoclonal antibody capable of specifically recognizing the porcine rotavirus is successfully screened out. The monoclonal antibody obtained through screening can effectively recognize epidemic strains, has broad-spectrum recognition, is superior to commercially available antibodies, and has high antigen recognition target performance and low non-specificity. And the sequence background is clear, large-scale amplification and production can be carried out, and the method has good commercial value.

The invention relates to a composition for identifying oral squamous cell carcinoma based on saliva sample detection and application, and belongs to the technical field of molecular biology. The composition provided by the invention is used for identifying the oral squamous cell carcinoma by detecting the expression of SNORD52 and / or SNORD65 in a saliva sample; the composition comprises a specific reverse transcription stem-loop primer, a specific detection forward primer, a specific detection probe and a universal reverse primer. According to the composition disclosed by the invention, the expression of SNORD52 and / or SNORD65 in a saliva sample is detected, and a binomial logistic regression model is combined to perform auxiliary judgment on the oral squamous cell carcinoma, so that the composition has relatively high sensitivity and specificity, and the identification accuracy of the oral squamous cell carcinoma can be improved. The invention further provides a kit containing the composition, a detection object of the kit is a saliva sample, and the kit has the advantages of being small in sample dosage, noninvasive in sampling, convenient, rapid, small in risk and the like.

The invention discloses a primer group, a kit and a method for detecting brucella, and belongs to the technical field of gene detection. The primer group comprises two pairs of specific RPA (recombinase polymerase amplification) primers: a primer pair B1F1 (SEQ ID No.3) and a primer pair B1R1 (SEQ ID No.6) targeting a B1 sequence, and a primer pair B2F1 (SEQ ID No.8) and a primer pair B2R1 (SEQ ID No.11) targeting a B2 sequence. The invention also provides a kit containing the primer group, and a detection method based on the RPA-CRISPR-Cas12a. The invention also provides a kit containing the primer group and a detection method based on the RPA-CRISPR-Cas12a. According to the application, the high efficiency of RPA amplification is combined with the ultrahigh specificity of CRISPR-Cas12a detection, the defects of long time consumption, low sensitivity and easy generation of false positive in the traditional method are overcome, rapid, sensitive and specific detection of Brucella is realized, and the application has important application value in early screening and monitoring of Brucella.

The present invention belongs to the field of virus detection technology, and specifically relates to a combination and application of monoclonal antibodies for the specific detection of type 5 adenovirus. The antibody combination includes 8B9 and 4A6, which target different epitopes of the HADV‑5 Hexon protein, respectively, and are suitable for a double-antibody sandwich ELISA detection system. Among them, 8B9 is used as a coating antibody, and 4A6 is used as an HRP-labeled detection antibody. The combination of the two can achieve high sensitivity and high specificity detection of HADV‑5 and replication-deficient recombinant type 5 adenovirus, and does not cross-react with other common adenovirus types. The present invention also provides the variable region amino acid sequence and nucleotide sequence of the above-mentioned antibody, as well as an ELISA detection method based on the antibody combination. The method is simple to operate, has good repeatability, and is suitable for the detection of type 5 adenovirus.

The invention relates to the technical field of rapid detection methods, in particular to a one-step detection method for urinary tract infection escherichia coli with a non-disease diagnosis or non-treatment purpose. According to recombinase polymerase amplification provided by the invention, target DNA is specifically amplified through primers, CRISPR / Cas12a specifically recognizes a target sequence through crRNA, and through double screening of RPA and CRISPR / Cas12a, the target sequence is specifically recognized through crRNA; the rapid, sensitive and specific detection on the Escherichia coli infected with the urinary tract can be realized. Meanwhile, an RPA primer, crRNA and reaction conditions are optimized, so that an RPA reaction system and a CRISPR / Cas12a reaction system can be premixed in a tube, and the reaction can be completed only by a one-step method. The method can specifically detect urinary tract infection escherichia coli and has no cross reaction with common pathogenic bacteria, optimized conditions can avoid the competitive effect of CRISPR / Cas12a and RPA, the reaction rate and sensitivity are guaranteed, and meanwhile, the risk of nucleic acid aerosol pollution is also avoided due to the fact that a cover does not need to be opened.

The invention relates to the technical field of microbiological detection and molecular biology, in particular to a specific detection primer for bifidobacterium longum subsp. Longum BBMN68 and application of the specific detection primer. The specific primer for detecting the bifidobacterium longum subsp.longum BBMN68, provided by the invention, comprises an upstream primer and a downstream primer, and nucleotide sequences are shown as SEQ ID NO.7-8. The invention also provides a kit for detecting the bifidobacterium longum subsp.longum BBMN68. The specific DNA fragment provided by the invention is a specific molecular marker of BBMN68, and the specific primer is designed aiming at the fragment sequence, so that the specific amplification of the strain can be realized, no cross reaction is caused to other related strains, the detection sensitivity is higher, and the detection requirements of samples with different concentrations can be met; the method can be used for specific detection and accurate quantification of the BBMN68 strain in yoghourt and other products, and has good practical application value.

The invention discloses a specific detection target PsRrp8 of phytophthora sojae, a DNA (deoxyribonucleic acid) sequence of the specific detection target PsRrp8 is shown as SEQ ID NO.1. The invention further provides a primer combination for detecting the phytophthora sojae, the primer combination comprises a forward primer and a reverse primer, the sequence of the forward primer PsRrp8-qPCR-F1 is shown as SEQ ID NO.2, and the sequence of the reverse primer PsRrp8-qPCR-R1 is shown as SEQ ID NO.3. The invention further provides a kit for detecting the phytophthora sojae. The lowest detectable DNA concentration of the detection primer combination provided by the invention on the phytophthora sojae (P.sojae) is 0.332 pg.L <-1 >, which indicates that the quantitative detection technology has high sensitivity. The method can be successfully applied to phytophthora detection of phytophthora root rot disease field plants, phytophthora sojae can be rapidly detected, and a new technical means is provided for early warning of diseases.

According to the hydrogen-bond organic framework material and the preparation method and application thereof, the preparation process is simple, mild and low in cost, the prepared hydrogen-bond organic framework material HOF-BTB-NH2 is one of a few of HOF materials with permanent pore channels, and the porous material has great development potential; the BTB-NH2 linker is connected with carboxyl on an adjacent linker through a hydrogen bond on the carboxyl, a firm 3D porous material is further formed through face-to-face pi-pi stacking interaction between benzene rings, and the 3D porous material is provided with one-dimensional porous channels in the a-axis direction; according to the HOF-BTB-NH2 fluorescent probe, the rigid organic construction molecules enable the HOF-BTB-NH2 fluorescent probe to show excellent fluorescence performance, the porosity and large specific surface area of the HOF-BTB-NH2 material are beneficial to full contact with an analyte and promote interaction with guest molecules, so that the detection sensitivity is improved, and the HOF-BTB-NH2 fluorescent probe has high selectivity due to difference recognition of binding sites. By adopting the fluorescence characteristic of the new material HOF-BTB-NH2, the sensitive and specific detection on the metal ion Cu < 2 + > can be realized.

The invention discloses a kit for detecting miRNAs of multiple extracellular vesicles based on a TtAgo-driven rolling circle amplification technology and application of the kit, a platform combines TtAgo protein and RCA reaction, cooperates with endonuclease activity and DNA polymerase activity of TtAgo, accurately controls reaction kinetic balance between temperature and enzyme activity, not only does not damage the cutting activity of TtAgo, but also can detect miRNAs of multiple extracellular vesicles. The method provided by the invention can be used for detecting multiple extracellular vesicles miRNAs, ensures strong polymerization amplification performance, creates a strong one-step single-tube experiment, greatly simplifies the experimental process, shortens the detection time, realizes ultra-sensitive and specific detection of nucleic acid markers, and can be used for detecting multiple extracellular vesicles miRNAs.

The present disclosure relates to systems and methods of detecting stress. As described herein, a system for measuring a specific detection of stress is provided that includes a plurality of physiological sensors coupled to a smart cable assembly that can provide a plurality of configurations of the physiological sensors. Physiological measurements are recorded and compared with stress profiles generated by a machine-learning algorithm to determine whether the patient is experiencing stress that should or can be treated by a healthcare specialist.

The multi-channel electrochemical micro-fluidic chip detection platform provided by the invention realizes rapid, high-throughput, low-cost, high-sensitivity and specific detection on genital tract pathogens. Specifically, when a target exists, a target recognition probe Cas12a-crRNA compound specifically recognizes a target and forms a Cas12a-crRNA-Target triad, the trans-cleavage activity is activated, an activated Cas12a system cuts a G1 / G2 single-chain region in the signal amplification probe, then encapsulated methylene blue is released, the methylene blue further promotes a methyl bromide redox reaction, signal transduction is promoted, and the target recognition probe Cas12a-crRNA compound can be used for recognizing the target. Therefore, high-sensitivity and high-specificity quantitative detection of pathogens is realized. On the basis, through a multi-channel micro-fluidic chip, high-sensitivity detection of multiple targets can be realized at the same time by placing different crRNA sequences in reaction tanks respectively. In the embodiment of the invention, the multi-target ultra-sensitive detection of CT, CA, TV and NG is successfully realized, and the detection limit is as low as 0.8 fM.

The invention belongs to the field of fluorescence detection, and particularly relates to a ratio-type fluorescent nanoprobe for specifically detecting tetracycline antibiotics as well as a preparation method and an application method of the ratio-type fluorescent nanoprobe. The nano-probe is a europium modified zinc gallium germanate nano-material, and is prepared by amino modification, citric acid modification and europium modification of the zinc gallium germanate nano-material. The probe can be specifically combined with tetracycline antibiotics; the fluorescent probe has two different fluorescence emission intensities, so that interference can be effectively eliminated, and the detection accuracy is high. And the synthesis method is simple and low in cost. The ratio type fluorescent nanoprobe provided by the invention also can realize the change of different colors under an ultraviolet lamp, can realize quantitative visual detection of tetracycline by combining the RGB value and the tetracycline concentration change, and can realize rapid on-site detection of tetracycline in a sample without the help of a fluorescent instrument. The tetracycline fluorescent probe is stable in optical performance, not prone to photobleaching, high in tetracycline recognition capacity, wide in response range (0.2-70 [mu] M) and low in detection limit, and has remarkable industrial application potential.

The invention belongs to the technical field of gene engineering, and particularly relates to a specific sequence of transgenic soybean medium yellow 6106 and application of the specific sequence, the specific sequence comprises an exogenous insertion element complete sequence and a flanking sequence of the exogenous insertion element complete sequence, and the nucleotide sequence of the specific sequence is shown as SEQ ID NO.1. The specific detection method is established through the specific sequence of the transgenic soybean yellow 6106, whether a sample to be detected contains the component of the transgenic soybean yellow 6106 or not can be effectively detected, and the detection method is rapid, simple, convenient, accurate and reliable.

The invention discloses a method for identifying an interface address of an IPv6 router, and belongs to the technical field of network measurement. The method comprises the following steps: acquiring an IPv6 prefix list, and initializing experience information; selecting a current target IPv6 prefix according to the IPv6 prefix list, randomly generating a specific detection target in the current target IPv6 prefix, evaluating the effectiveness of the specific detection target by using experience information, and retaining the effective specific detection target; repeating the operation until the number of specific detection targets reaches a set value; performing stateless online detection according to each specific detection target to obtain a detection result; and updating the experience information, iterating the detection operation until the total quantity of the sent data packets reaches the total detection budget, obtaining the reachable interface address and relative position of the local address based on the detection result in each round of iteration, and completing the interface address identification. According to the invention, the problem that the existing method cannot adaptively allocate detection resources and minimize unnecessary detection is solved.

The invention discloses a composition, a kit and a method for detecting a mitochondrial gene of sea eel. A primer probe composition targeting the D-LOOP gene of the sea eel mitochondria is designed, and the nucleotide sequences of the primer probe composition correspond to SEQ ID No.1-3. On the basis, the invention further constructs and optimizes a specific real-time fluorescent PCR detection method for the D-LOOP gene of the sea eel mitochondria. According to the method, a part of sequence of the D-LOOP gene of the mitochondria of the sea eel is taken as a target region, a primer and a TaqMan-MGB probe are designed in a targeted manner, and finally a set of rapid, sensitive and high-specificity detection system is established. The detection system can be effectively applied to adulteration and germplasm identification work of the sea eel, and has a very wide industrial application prospect.

The invention discloses an organelle-targeted fluorescent probe for specific detection of tumor cells as well as preparation and application of the organelle-targeted fluorescent probe, and the specific structural formula of the fluorescent probe is as follows: BCY-DP shows obvious specific targeting ability of tumor cell mitochondria and has been applied to ONOO-selective imaging in living cell mitochondria; results show that the BCY-DP has high selectivity on ONOO <-> in tumor cells, can successfully distinguish the ovarian cancer cells from normal ovarian cells, and can be used for diagnosis of cancer cells.

The invention provides a cotton transformation event cD46-2 as well as a primer pair and a method for detecting the cotton transformation event cD46-2. The cotton plant carrying the cD46-2 transformation event comprises the event, namely the joint of an exogenous insertion DNA sequence and a cotton genome DNA sequence, on a group A chromosome 2. A detection primer can be designed by using an exogenous insertion DNA sequence and a DNA sequence of a junction region on a flanking cotton genome, and is used for specific detection of a cD46-2 event. The detection method aiming at the cD46-2 event can provide a convenient means for tracking the specific gene insertion event for the application of breeding by using the plant event, and the specific gene insertion event can be used as a molecular marker to improve the working efficiency of fiber improvement breeding by using the transformation event.

The invention discloses a network service fault detection method, device and system, electronic equipment and a storage medium. The core network management device obtains a detection service, constructs a detection task according to the detection service and distributes the detection task to at least one edge network device, the edge network device executes the detection task to obtain a detection result and reports the detection result to the core network management device, and the core network management device analyzes the detection result and sends the analysis result to the detection server. And generating a whole network service state report. A complex detection task is decomposed into a distributed architecture of core definition and edge execution, the core network management device is responsible for definition and management of complex service logic, the edge network device executes a specific detection task, the architecture of service and data separation greatly reduces the performance requirement for the edge network device, and the service and data separation efficiency is improved. Therefore, common network equipment can complete complex service detection, high cost of special high-performance probe equipment is avoided, and hardware investment is remarkably reduced.

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 relates to a fluorine-containing polymer of a specific mononitroalkylbenzene aromatic hydrocarbon explosive tracer as well as a preparation method and application of the fluorine-containing polymer, and belongs to the technical field of fluorescent probes. The method specifically comprises the step of synthesizing a polymer with fluorine atoms as a solid fluorescence sensor probe. The probe realizes the detection of explosives through the interaction between fluorine atoms and nitryl and by doping CdSe / ZnS quantum dots. Based on the fluorine-containing polymer, aromatic alkyl hydrocarbon explosives (tracers) containing a single nitro group can be specifically recognized. Quantum dots are blended with the fluorine polymer, the quantum dots as a nano material are mixed and dispersed with the polymer to form a nanofiber membrane, and the fluorescence of the fluorine-containing quantum dot polymer is changed by further utilizing the interaction between fluorine and silicon atoms and nitro aromatic hydrocarbon, so that the fluorescence of the fluorine-containing quantum dot polymer is changed. Therefore, the specific detection-fluorescence rise of the mononitroalkane explosive is realized (fluorescence decline caused by interference such as light blocking is avoided).

The invention discloses an anti-deformation detection device for special equipment, and relates to the technical field of detection devices.The anti-deformation detection device comprises a box body, a base is arranged at the bottom end of the box body, guide portal frames are arranged at the top ends of the bases on the two sides of the box body, trusses are movably connected into the guide portal frames, and rear extension frames are arranged at the rear ends of the trusses; and a rotating shaft is arranged at the bottom of the rear extension frame. By arranging a series of structures, the detection range of the anti-deformation detection device for the special equipment is wider, multiple detection effects can be achieved without using multiple devices in cooperation, the cost is reduced, the anti-deformation detection device for the special equipment is convenient to detect equipment of different sizes, materials do not need to be cut into preset specifications, and the detection efficiency is improved. The detection efficiency is improved, the deformation resistance detection device for the special equipment can detect the deformation behavior of the material in a variable-temperature environment, and specific detection can be conveniently carried out on the materials in different use environments.

The invention discloses a cylinder-like surface local defect detection method and a related device, and the detection method specifically comprises the following steps: obtaining three-dimensional point cloud data, dividing the three-dimensional point cloud data into a plurality of uniform slices according to a height range, and each slice only comprises data points belonging to a specific height range; carrying out plane projection on the sliced three-dimensional point cloud data, and carrying out gray processing and binarization processing on a projection image to obtain a binarized image; extracting upper and lower contour points in the binarized image, and performing circle fitting on the lower contour points by using a least square method to obtain a fitted circle; distance information between the upper contour point and the fitting circle and distance information between the lower contour point and the fitting circle are calculated respectively, the calculated distance information is compared with a preset threshold value, and cylinder-like surface local defect detection is achieved. According to the method, technologies such as slicing, projection and geometric fitting are comprehensively utilized, and the accuracy and efficiency of defect detection can be effectively improved.

The invention relates to the technical field of tea drinks, in particular to a method for detecting and evaluating the soup color of jasmine tea. The color difference values a *, b * and L * of the jasmine tea soup are measured by a colorimeter according to a specific detection method, then the hue M = a * / b * is calculated, the quality of the tea soup is judged by calculating the score value of the tea soup according to the linear relation among L *, M and the color score of the jasmine tea soup, and the method is objective, accurate and standard.

The invention relates to the technical field of test strips, in particular to a human saliva pepsin fluorescence immunochromatography test strip and a preparation method thereof.The human saliva pepsin fluorescence immunochromatography test strip is characterized in that a sample pad, a marking pad, a nitrocellulose membrane and a water absorption pad are pasted to the upper surface of a PVC plate, and the surface of the marking pad is sprayed with a pepsin marked antibody compound containing fluorescent microsphere marks; the fluorescence immunochromatography test strip provided by the invention can be used for specific detection of human saliva pepsin antigen, has a wide linear range, high sensitivity and high precision, can maintain the test value of the test strip to be basically unchanged for 14 days through accelerated destruction at 37 DEG C, shows good stability, and can be applied to detection of human saliva pepsin antigen. Meanwhile, the test strip is not interfered by amylase and lipase and has relatively high specificity, in addition, a method for detecting human saliva pepsin by adopting a fluorescence immunochromatography method has the advantages of operation detection, less time consumption, small matched equipment, low cost and the like, can meet the requirement of instant detection and has relatively high application value.

The invention provides a deployment method, device and system for a specific detection model in a medical scene, is used for carrying out localized deployment on a mature medical examination model in a hospital, specifically combines a container deployment technology and a container arrangement technology, provides corresponding model calling services for medical personnel more conveniently, efficiently and safely, and improves the medical examination efficiency. Dual requirements of data security compliance and model real-time calling can be effectively balanced, a safe, extensible and high-reliability operation platform is provided for actual landing of a digital algorithm, external dependence is greatly reduced, and the real-time performance of the digital algorithm is improved. The method provides possibility for rapid verification and iterative algorithm of hospital informatization departments and researchers in a clinical environment, achieves intelligent medical assistance of closed-loop, safe, controllable and efficient optimization in a hospital, has large-scale popularization value, and provides robust AI technical support for various clinical diagnosis, inspection analysis and scientific research work.

The invention provides a ratiometric fluorescent biosensor as well as a preparation method and application thereof, and belongs to the technical field of fluorescent biosensors and pathogenic bacterium detection. According to the invention, an Eu-MOF fluorescent material is combined with RPA-CRISPR / Cas12a, high-sensitivity and specific detection of staphylococcus aureus is realized through fluorescence characteristics of Eu-MOF and nucleic acid cleavage activity of Cas12a, and along with recognition and cleavage of target DNA, fluorescence signal change of the ratiometric fluorescent biosensor can be observed; the ratiometric fluorescent biosensor has a built-in calibration function, can reduce interference brought by the environment and instruments, has good selectivity to staphylococcus aureus and good anti-interference performance to other bacteria, and can be used for rapid detection in the field of food safety.