15results about How to "Guaranteed detection sensitivity" patented technology

The invention discloses an ERA / CRISPR-LFD dual detection system for simultaneously detecting avian metapneumoviruses B and C and application of the ERA / CRISPR-LFD dual detection system, and relates to the technical field of biology. The ERA / CRISPR-LFD dual detection system comprises an ERA amplification reaction primer probe group, crRNA (Complementary Ribonucleic Acid) and an ssDNA-FB Reporter, the ERA amplification reaction primer probe group comprises an upstream primer aMPV / B-F4, a downstream primer aMPV / B-R2, an upstream primer aMPV / C-F3, a downstream primer aMPV / C-R4 and a probe aMPV / C-R2 '''. A novel technical tool which is sensitive, specific, convenient, low in cost and high in stability is provided for on-site rapid typing detection of the avian metapneumoviruses B and C, and the kit has important practical application value and popularization prospect in early discovery, early prevention and control of related diseases of poultry and reduction of loss of the breeding industry.

This invention relates to the field of semiconductor detection technology and discloses a mass spectrometry device with a variable configuration energy analyzer and its control method. By coordinating a variable slit mechanism, an electrode system, and a mode switching controller, this invention enables the same mass spectrometry device to flexibly switch between two operating modes: wide energy acquisition and high sensitivity, and narrow passband and high energy resolution. This resolves the contradiction that existing fixed-parameter energy analyzers cannot simultaneously meet the needs of different analytical tasks. Through pre-storing target operating mode parameter sets and a parallel control strategy, parameters for all operating modes are pre-calculated and calibrated, and can be directly recalled during mode switching without real-time calculation. Simultaneously, the slit width, the output voltage of each electrode, and the operating status of the ion source components are adjusted, effectively reducing the mode switching time and ensuring that the switching time is controlled within a set time, meeting the requirements for online real-time switching during process operations.

The invention provides a nitrite quantitative detection method based on surface enhanced Raman spectroscopy, relates to the technical field of surface enhanced Raman spectroscopy, and constructs a self-correcting SERS substrate through a three-phase liquid-liquid interface co-assembly technology. In the experiment process, a sample to be detected is mixed with a thiobarbituric acid solution, the mixture is adjusted to be acidic, NO2 <-> and thiobarbituric acid are subjected to an S-nitrosation reaction, and S-nitroso mercaptan is generated. And then, immersing the self-correcting SERS substrate into a reaction solution, so that the substrate adsorbs the generated S-nitroso mercaptan, and further, a Raman signal is enhanced. After soaking is completed, the substrate is taken out and dried, finally, a Raman signal is collected through a Raman spectrometer, and the concentration of NO2 <-> is accurately analyzed through the change of the signal intensity. According to the technical scheme, rapid and high-sensitivity detection of NO2 <-> is achieved, good selectivity and anti-interference capacity are achieved, and the method is widely suitable for detection requirements of multiple fields such as environment monitoring and food safety.

The application provides a building fire-fighting early warning system and method, and belongs to the technical field of building fire-fighting safety. The application synchronously collects temperature, smoke concentration and carbon monoxide concentration data in each monitoring area of a building, calculates the deviation degree of sensor sliding window variance and baseline variance, evaluates the reliability index of each sensor in real time and generates adaptive fusion weight, simultaneously detects and isolates the fault sensor through time sequence deviation residual analysis, evaluates the consistency between sensors and generates a correction weight, relies on the dynamic update of the environment baseline based on the exponential weighted moving average, generates a graded early warning threshold for each area and triggers the corresponding response measures. The application effectively improves the robustness of the system under the condition of sensor failure, enhances the fusion accuracy in the multi-sensor conflict scene, realizes the early prediction of the fire spread situation, reduces the false alarm rate while maintaining a high fire detection sensitivity and a short detection response time.

The utility model discloses a water flow switch which comprises a switch body and a magnetic induction assembly. The switch body comprises a shell, a movable part, a spring and a magnetic part, a movable cavity is formed in the shell, and the movable part is arranged in the movable cavity in a sliding mode; the shell comprises a water inlet and a water outlet; the movable part comprises a front rod body and a rear rod body, the magnetic part is arranged between the front rod body and the rear rod body, the front rod body movably penetrates through the water inlet, and the rear rod body movably penetrates through the water outlet; the spring is arranged in the movable cavity and tends to push the movable part to the water inlet. When water flow pushes the movable part to move towards the water outlet, the magnetic part triggers the magnetic induction assembly. The non-contact water flow detection function is achieved by separating the detection assembly from the water flow contact part, photoelectric conversion is replaced with magnetic field induction, and the assembly difficulty of a precise light path system is eliminated; dynamic matching of the water flow pressure and the magnetic induction state is achieved through the elastic reset mechanism, and the structural complexity and the maintenance cost are reduced while the detection sensitivity is ensured.

The invention provides an underground multi-range fluid dielectric parameter real-time measurement and overflow early warning system, which is characterized in that an emission electrode is positioned in the center of a measurement probe and is used for emitting an alternating current excitation signal to a slurry medium, and a first measurement electrode and a second measurement electrode are symmetrically distributed relative to the periphery of the emission electrode; the first measuring electrode and the second measuring electrode are arranged on the measuring probe and used for collecting potential signals generated in the mud medium, the potential difference between the first measuring electrode and the second measuring electrode is used for calculating complex impedance of the mud medium, and the backflow electrode is annularly arranged outside the first measuring electrode and the second measuring electrode, located on the outermost ring of the measuring probe and used as a return electrode of a current loop. The device can adapt to measurement of high-conductivity fluid and high-insulativity fluid, wide-range real-time accurate measurement of slurry dielectric parameters is achieved, accordingly, changes of slurry components are recognized in time, and the early warning capacity of underground abnormity is improved.

The utility model relates to an inductive control non-isolated constant current circuit which comprises an input protection rectification circuit, a filter circuit, an induction module power supply circuit, a PWM control circuit, a step-down constant current control circuit and an output filter circuit. The input protection rectification circuit converts commercial power into direct current and generates direct current bus voltage through the filter circuit. The induction module power supply circuit takes electricity from the direct current bus and provides a low-voltage power supply for the induction module. A PWM signal output by the induction module is converted into a threshold voltage signal of an ROVP pin of the constant-current control chip through the PWM control circuit, and a light source is controlled to start and stop through voltage comparison; the step-down constant-current control chip drives the light source to be on and off. According to the scheme, a non-isolated framework is adopted, and through voltage division power supply and a PWM-ROVP signal conversion mechanism, an independent power supply chip and a complex control circuit are omitted, the structural layout is simplified, the number of elements and the production cost are reduced, and the lamp size is reduced.

The application discloses a rice gene expression and function verification integrated detection device, which comprises a box body, a liquid nitrogen freezing assembly for freezing rice is installed in the box body, a gene extraction assembly for extracting rice genes is installed in the box body, and a gene detection assembly for detecting and verifying rice genes is installed at the top of the box body; a plurality of steps such as liquid nitrogen freezing, sample grinding, nucleic acid extraction, purification and qPCR detection are integrated, full-process automatic operation is realized through a control module, manual frequent intervention is not needed, human operation errors are greatly reduced, the accuracy and repeatability of detection results are improved, a high-concentration saline solution is combined, a low-salt elution process design is adopted, automatic magnetic bead adsorption and cleaning processes are combined, interference substances such as proteins and impurities in samples are effectively removed, the nucleic acid purity can reach more than 95%, the recovery rate can reach more than 85%, and the reliability of gene expression and function verification results is ensured.

This application relates to the field of analytical detection technology, specifically to sample pretreatment methods, kits, and detection methods for the detection of antiepileptic drugs. The sample pretreatment method for the detection of antiepileptic drugs in this application includes one or more of the following antiepileptic drugs: valproic acid, carbamazepine, phenytoin, levetiracetam, lamotrigine, and phenobarbital. The sample pretreatment method includes the following steps: mixing magnetic beads with an activation solution to prepare a magnetic bead suspension; mixing the sample to be tested, the magnetic bead suspension, and an internal standard solution, and separating the supernatant and the magnetic bead complex after magnetic adsorption treatment; adding an eluent to the magnetic bead complex, and collecting the magnetic bead-target complex after elution treatment; adding an elution buffer to the magnetic bead-target complex, and collecting the supernatant after elution treatment for detection. The above sample pretreatment method is simple to operate, time-saving, and low-cost, providing key technical support for the efficient quantitative detection of antiepileptic drugs.

The invention provides a crosslinked polyethylene cable fault point positioning detection method. The method comprises an impedance distribution mapping step, a characteristic frequency analysis step, an excitation signal synthesis step, a signal detection step and a fault positioning step. In the impedance distribution mapping step, a broadband detection signal is injected into a single end of a to-be-detected cable, a reflection echo sequence of the whole length of the cable is obtained, and an impedance distribution map of the to-be-detected cable is constructed; in the characteristic frequency analysis step, an impedance mutation position is determined based on an impedance distribution map, reflection characteristics of the impedance mutation position in a frequency domain are calculated, and characteristic frequencies are screened out; in the excitation signal synthesis step, a composite excitation signal is synthesized based on the characteristic frequency, and the composite excitation signal is continuously injected into the cable to be detected; in the signal detection step, a magnetic induction probe is utilized to move along the path of a cable to be detected, and a phase jump value is obtained; in the fault positioning step, the spatial magnetic field intensity gradient and the phase jump value are subjected to logic correlation judgment, and a fault point is determined.

This invention relates to the field of biomedical detection technology, specifically to plasma circulating microbial biomarkers for early screening of gastric cancer and their applications. The plasma circulating microbial biomarkers include: *Ralstonia solanacearum*, *Staphylococcus aureus*, *Alternaria metachromatica*, *Porphyromonas gingivalis*, *Lactobacillus reuteri*, *Rhodococcus erythropolis*, *Akkermansia muciniphila*, *Lactobacillus gasseri*, *Bifidobacterium bifidum*, and *Neisseria gonorrhoeae*. This invention screens and, for the first time, combines 10 specific microbial biomarkers with Low Pass technology. WGS technology can achieve detection results at low depths, significantly reducing screening costs while ensuring detection sensitivity, and providing a brand-new solution for early gastric cancer screening.

The invention relates to a strong sunlight resistant APD type laminated laser detector and a manufacturing method thereof, and belongs to the field of photoelectric detector chips. The detector comprises two stacked sub-detectors, the sub-detector I is arranged at the upper part, and the sub-detector II is arranged at the lower part; a filter film I is arranged on the sub-detector II; a bonding layer is arranged on the filter film I and is connected with the sub-detector I and the sub-detector II; the electrode II and the electrode III are provided with through holes so as to be interconnected with a peripheral circuit. The detector is packaged in a tube shell, a light window is arranged above the tube shell, a light filtering film II is arranged above the light window, and a light filtering film III is arranged below the light window. During packaging, the electrode II of the sub-detector I and the electrode III of the sub-detector II are in short circuit. Through optical and electrical design, sunlight currents generated by the two sub-detectors are mutually offset, and only laser signal currents are reserved.

This invention relates to an organic fluorescent sensor array for the sensitive and selective detection of sarin using fluorescence methods, and its preparation method. The organic fluorescent sensor material is assembled with compounds of formula (B) and formula (C), which are insensitive to nerve agents, along with the compound of formula (A), to form an organic fluorescent sensor array consisting of material 1 and material 2. This improves upon the poor stability and susceptibility to interference when using compound (A) alone for sarin detection, while maintaining the sensitivity for sarin detection, thus improving the fluorescence stability and anti-interference capability of the detection.

The invention discloses a wafer defect detection method and system, and relates to wafer detection. The method comprises the steps that a holographic image IH and a digital image reconstruction distance parameter d on the surface of a wafer are collected; performing digital reconstruction on the holographic image IH by using the digital image reconstruction distance parameter d to obtain a reconstruction intensity graph; inputting the reconstruction intensity graph into a pre-trained convolutional neural network for feature extraction to obtain a feature vector V; calculating the similarity between the characteristic vector V and a pre-calibrated defect-free sample characteristic vector Vn; when the similarity is smaller than a preset similarity threshold value, it is judged that the wafer has defects; when it is judged that the defect exists, principal component analysis is conducted on the feature vector V of the sample with the defect, and dimension reduction coordinates are obtained; and performing K-means clustering analysis on the dimension reduction coordinates, and determining defect categories according to a clustering result. Aiming at low wafer detection precision in the prior art, the wafer defect detection based on digital holographic imaging in combination with feature vector similarity analysis and principal component clustering is provided, and the detection precision is improved.

The invention relates to the technical field of alloy foil pinhole defect detection, in particular to a nickel-chromium-based alloy foil pinhole defect detection device and method.The nickel-chromium-based alloy foil pinhole defect detection device comprises a detection box with an upward opening, rotating rollers are symmetrically arranged on the detection box in the length direction, and the two ends of each rotating roller are rotationally installed on fixing protrusions on the side edge of the detection box through bearings; according to the defect detection device, the pore defects on the surface of the alloy foil are identified through the colored gas in the detection box, so that the alloy foil is not limited by visual shielding caused by wrinkles, the gas can still permeate and escape from pores and is further identified, the problem of leak detection caused by wrinkle interference is avoided, and the completeness and the reliability of defect detection are improved.