14results about How to "Sensitive high" patented technology

The application relates to a novel power system grid fault feature analysis method, first, four-dimensional data of alternating current side electrical quantity, direct current side conversion parameter, equipment operation state and environmental meteorological parameter are integrated, and the integrated data is subjected to noise reduction, normalization, missing value completion and abnormal value elimination treatment, so that a standardized feature sample set is formed, then, an improved wavelet packet transform is adopted to decompose a transient signal, time domain, frequency domain and time-frequency domain features are extracted, so that a high-dimensional fault feature matrix is constructed, then, a fault feature secondary verification is realized in a mode of combination of cosine similarity and dynamic time warping; meanwhile, a graph convolution network is introduced, fault contribution degrees of each node are calculated in combination of a power grid topological structure and a power flow distribution, a fault source is accurately positioned, a fault propagation path is combed, and a fault influence range is quantified; and the application has the advantages of comprehensiveness, high efficiency, accuracy and strong adaptability.

The invention discloses an SERS (Surface Enhanced Raman Scattering) flexible sensor based on dual-ion modification as well as a preparation method and application of the SERS flexible sensor, and belongs to the technical field of biomedical detection. A bacterial cellulose membrane (BCM) is used as a base material, cation modification (QBCM) is carried out through glycidyl trimethyl ammonium chloride (EPTMAC), anion modification (TABCM) is carried out through tannic acid (TA), a functional substrate with asymmetric charge distribution and a porous structure is constructed, then Ag NPs are loaded on the modified base material through an in-situ reduction method, the QBCM-coated AgNPs and TABCM-coated AgNPs dual-ion active substrate is formed, and the AgNPs / TABCM-coated AgNPs dual-ion active substrate is used for preparing the composite material. The SERS flexible sensor is integrated through a layer-by-layer self-assembly (LbL) technology; the SERS flexible sensor can realize specific enrichment and synchronous detection of anionic kynurenic acid (KYNA) and cationic spermine (Spm) in urine, and is low in detection limit and good in reproducibility.

This invention belongs to the field of electrochemiluminescence materials technology, and discloses a gold-silver nanocluster, its preparation method, and its application in the electrochemiluminescence-electrochemical dual-mode detection of chloramphenicol. The preparation method involves adding a silver source solution to a gold source solution, then adding an alkaline thiol β-cyclodextrin solution to obtain a mixed solution. Sodium bicarbonate is added to adjust the pH to 8.2-8.4, followed by incubation to obtain a crude product of gold-silver nanoclusters. The crude product is then purified by centrifugation and dialyzed to obtain the gold-silver nanoclusters. Furthermore, this invention uses these gold-silver nanoclusters as an ECL luminescent material to construct a sensor and applies it to the quantitative detection of chloramphenicol. This sensor innovatively achieves synergistic detection of ECL and DPV dual signals, with mutually verifiable detection results, exhibiting high sensitivity, excellent selectivity, good stability, and excellent repeatability.

The invention discloses a generator-transformer unit intelligent fault diagnosis and tripping control method, system and device based on double microcomputer protection and a storage medium, and relates to the technical field of generator-transformer unit microcomputer protection and intelligent control. Constructing a multi-dimensional non-electric quantity sensing system based on the standardized electric quantity data, performing synchronous alignment and logic fusion on electric quantity and non-electric quantity signals by using a communication model, and outputting a state data set; the method comprises the following steps: performing intelligent fault identification and self-adaptive criterion generation, determining fault types, ranges and confidence coefficients, calling the self-adaptive criterion to establish hierarchical tripping and delay control logic, mapping fault levels into quick-break, delay and trend three-level action channels, and performing multi-source criterion collaboration and shunt output control through an arbitration mechanism among double devices. According to the method, the threshold value and the time delay can be dynamically adjusted according to different operation conditions, and accurate judgment of the fault type, the fault range and the confidence coefficient is achieved.

The invention relates to the technical field of biological monitoring, in particular to a fluorescence sensor for detecting endocrine disruption activity in sewage and application. A Y-type polypeptide containing an anchoring region, a hinge region and an antifouling region is creatively designed as a structural skeleton, and the tail ends of a main chain and a branch chain are respectively subjected to directional modification to prepare the multifunctional ligand-polypeptide-dye conjugate; an optical biosensing chip, namely a ligand-polypeptide-dye conjugate functionalized biosensing chip which is high in reaction efficiency, strong in anti-pollution characteristic and capable of being stably regenerated, is constructed by adopting a covalent coupling method, and then the quantum dot-nuclear receptor fluorescent probe which is high in sensitivity and adjustable in emission spectrum is prepared. The ratio fluorescence biosensing principle based on fluorescence resonance energy transfer is provided, rapid quantitative detection of the endocrine disruptors in sewage is achieved, and the endocrine disruptors have broad-spectrum specific recognition capacity on a certain type of endocrine disruptors.

The application relates to the technical field of biological detection, and discloses a composition, a kit and a detection method for detecting an EB virus related nucleic acid marker. The composition provided by the application comprises primers for detecting EB virus mRNA and EB virus derived miRNA. Through the combined use of specific primers designed for specific EB virus mRNA and EB virus derived miRNA, the application can realize rapid, high-specificity and high-sensitivity detection of the EB virus, thereby providing more accurate diagnosis information for the subsequent treatment and prevention and control of EB virus infection.

The present application relates to a kind of based on monatomic nanozyme and self-selection aptamer for super-sensitivity detection of tomato mosaic virus colorimetric aptamer sensor and its preparation method and application, belong to electrochemistry and biological detection technical field.The present application utilizes the complex of monatomic nanozyme FeCo-NC and aptamer 1 for ToMV and the microwell plate coated with aptamer 2 for ToMV to constitute the colorimetric aptamer sensor for super-sensitivity detection of tomato mosaic virus, by combining the excellent catalytic performance of FeCo-NC with colorimetric detection system, it is first to realize that electrochemical biosensor is used in the detection of tomato mosaic virus, by verification, the sensing strategy successfully realizes the high sensitivity, high specificity visual detection of tomato mosaic virus.

The present application relates to a multi-band radio frequency communication signal quality dynamic optimization method and an intelligent water meter. In view of the problem that the risk of water meter communication frequency band interruption is difficult to predict in advance in complex environment, a high sensitivity MEMS accelerometer integrated with a master control chip is used to collect three-dimensional micro-vibration signals of the water meter shell through low sampling rate, combined with time-frequency joint analysis to extract vibration modal characteristics, a graph neural network model is used to associate vibration state with radio frequency channel quality index, and real-time prediction of deterioration risk probability is realized. According to the environmental dynamic disturbance factor, the threshold value is adjusted and determined, combined with the radio frequency index step deterioration monitoring, the intelligent communication frequency band switching and context caching are triggered. The newly added vibration and radio frequency data are used for model adaptive optimization. The scheme can predict the channel interruption risk in advance, effectively improve the communication stability and adaptability of the intelligent water meter.

The invention discloses a multi-mode microbial sensor and a detection method thereof, and belongs to the field of microbiological detection.The sensor comprises an enrichment amplification chamber, a detection chamber and an analysis chamber, the enrichment amplification chamber is used for injecting a sample to be detected, conducting targeted enrichment and magnetic separation on the sample to be detected to obtain a separated sample, conducting amplification on the separated sample, and obtaining the sample to be detected; an amplification sample is obtained; the detection chamber comprises three sub-chambers, each sub-chamber is communicated with the enrichment amplification chamber, a detection module is deployed in each sub-chamber, and the detection modules are used for measuring monitoring signals of different modals of an amplified sample; a data processing module is deployed in the analysis chamber, the detection module in each sub-chamber is electrically connected with the data processing module, and the data processing module is used for performing fusion analysis on the monitoring signals of the three modes according to a preset detection method to obtain a detection result. According to the method, system errors and batch differences in the detection process can be effectively reduced, and the accuracy and reliability of microbiological detection are remarkably improved.

This application belongs to the field of nucleic acid amplification technology, and particularly relates to a composition, system, product, and method for HyperAM nucleic acid amplification. The HyperAM nucleic acid amplification composition provided in this application includes: an inner primer pair and an outer primer pair; wherein, the upstream inner primer of the inner primer pair has a promoter attached to its 5' end, and the inner and outer primer pairs are used to bind to the nucleic acid template during nucleic acid amplification; a first enzyme with strand displacement activity and DNA-dependent DNA polymerase activity; a second enzyme with DNA-dependent RNA polymerase activity; a third enzyme with RNA-dependent DNA polymerase activity; and a fourth enzyme with DNA-dependent RNA endonuclease activity. The composition of this application can simultaneously achieve isothermal amplification of both DNA and RNA templates, possessing the advantages of speed, high sensitivity, and high specificity, making it highly suitable for rapid on-site nucleic acid detection or home testing.

According to the anesthesia depth evaluation method based on the electroencephalogram quantitative indexes, the anesthesia depth can be comprehensively and accurately evaluated by combining coupling of frequency domain analysis and information dynamics analysis; by combining electroencephalogram low-frequency energy ratio and electroencephalogram complexity analysis, nonlinear dynamic characteristics and frequency domain energy changes in electroencephalogram signals can be comprehensively captured, multi-dimensional anesthesia depth evaluation is provided, errors and lagging existing in the prior art are effectively avoided, and accuracy and stability of anesthesia depth evaluation are ensured; according to the method, the change of frequency band energy in the anesthesia process can be more rapidly captured, especially the rapid change of delta waves, electroencephalogram complexity analysis has high sensitivity to the complexity change of signals, and the response capacity of the system to the rapid change of anesthesia depth is remarkably improved by combining frequency domain analysis.

The invention relates to an IL-6 electrochemiluminescence immunodetection method and a detection kit, and solves the technical problems of narrow detection range, low sensitivity, tedious operation steps and radioactive contamination of the existing IL-6 detection method. An electrochemiluminescence immunoassay platform is applied, the surface of an electrochemiluminescence plate is directly modified with a captured antibody, then a double-antibody sandwich structure is formed among the captured antibody, IL-6 and a ruthenium-labeled detection antibody, and an IL-6 direct electrochemiluminescence immunoassay system is established.

The present application relates to the technical field of biological monitoring, in particular to a fluorescence sensor for detecting endocrine disrupting activity in sewage and application. The present application creatively designs a Y-shaped polypeptide containing an anchoring region, a hinge region and an anti-fouling region as a structural framework, and performs directional modification at the ends of the main chain and the branch chain to prepare a multifunctional ligand-polypeptide-dye conjugate; a covalent coupling method is used to construct a high-response-efficiency, strong-anti-pollution-characteristic and stable-regeneration optical biosensor chip, i.e. a ligand-polypeptide-dye conjugate functionalized biosensor chip, then a quantum dot-nuclear receptor fluorescence probe with high sensitivity and adjustable emission spectrum is prepared, a ratio fluorescence biosensing principle based on fluorescence resonance energy transfer is proposed, and rapid quantitative detection of endocrine disruptors in sewage is realized, so that the present application has broad-spectrum specific recognition ability for certain endocrine disruptors.

This invention discloses a visual detection method and application of biogenic amines based on a carbon dot / quantum dot ratio fluorescent probe, belonging to the field of food safety detection technology. Addressing the problems of existing biogenic amine detection methods, such as complex operation, difficulty in rapid on-site screening, and susceptibility to interference from single fluorescent signals, this invention prepares a ratio fluorescent probe based on graphene carbon dots (G-CDs) and near-infrared quantum dots (QD700). This probe requires no chemical modification and achieves a synergistic response of G-CDs fluorescence enhancement and QD700 fluorescence quenching through the Spe-induced aggregation effect, achieving a detection limit of 0.0097 μM and a response time faster than 2 seconds. Combined with the DEIM intelligent model, it can accurately distinguish spermine, putrescine, cadaverine, histamine, and tyramine. Integrated into a paper-based smartphone platform, it enables visual identification of shrimp freshness (red for fresh, green for spoiled), showing a high correlation with the TVB-N standard method (R²=0.95), suitable for rapid on-site monitoring.