30results about How to "Fast analysis" patented technology

The present application belongs to the field of metal ion concentration detection, and particularly relates to a method for detecting the concentration of vanadium ions in the negative electrolyte of a vanadium battery by two-step potentiometric titration. In view of the problems of inaccurate measurement results, large errors and complicated operation of the negative electrolyte of the vanadium battery, the present application detects the concentration of vanadium ions in the negative electrolyte of the vanadium battery by two-step potentiometric titration. In the first step, the negative electrolyte is added to a solution containing excess pentavalent vanadium and sulfuric acid, and the pentavalent vanadium ions oxidize the divalent and trivalent vanadium ions in the solution into tetravalent vanadium ions, and at the same time, part of the pentavalent vanadium ions are reduced into tetravalent vanadium ions. Subsequently, the concentration of tetravalent vanadium ions in the solution is titrated with potassium permanganate to solve the problem of exposure of divalent vanadium ions to oxidation. In the second step, the concentration of vanadium ions in the negative electrolyte is directly titrated with potassium permanganate. The results prove that the present application has small detection result deviation, high precision and accuracy, and the instrument is light and portable, and is suitable for real-time monitoring of energy storage power stations.

The invention provides a spark source atomic emission spectrometry determination method for acid-soluble aluminum and inclusion aluminum, and belongs to the technical field of assessment of inclusions in steel. The spark source atomic emission spectrometry determination method for acid-soluble aluminum and inclusion aluminum comprises the following steps: establishing a calibration curve of all aluminum, then determining integral intensities of inclusion aluminum, all aluminum and acid-soluble aluminum in a sample under corresponding conditions, and calculating the intensity of the inclusion aluminum by using a difference value between the integral intensities; selecting two standard samples with adjacent strength according to the strength of aluminum inclusion in the sample, and calculating a calibration coefficient K according to the aluminum content Al% lt; the excitation rate F is calculated according to the peak integral intensity of the inclusion aluminum and the integral intensity of the total aluminum in the 0.0007% standard sample, the inclusion aluminum content Als% is equal to K * F * (IAlt-IAls), and the content of the acid-soluble aluminum is equal to the difference between the content of the total aluminum and the content of the inclusion aluminum. According to the method, the accuracy of a measurement result is effectively improved while high analysis speed, low cost and simplicity and convenience in operation are ensured.

The application discloses an automatic analyzer for detecting aniline compounds in liquid and a determination method, and realizes automatic and rapid determination of aniline compounds in liquid samples through the design, connection and control of flow paths and structures, and the analysis processes such as automatic sampling, reagent adding, mixing reaction and spectrophotometric detection, so that reagent consumption and waste liquid discharge are reduced, and the analysis detection sensitivity, accuracy and precision are improved.

The present application relates to the field of biotechnology, and particularly relates to a method for identifying a cleavage site of a nucleic acid nicking enzyme. The present application discloses a method for identifying a cleavage site of a nicking enzyme, which comprises the following steps: obtaining nucleic acid sequence data before and after enzyme cleavage by using mNGS sequencing, analyzing second-generation sequencing data by using Bowite2 and samtools software, and obtaining the cleavage site of the nicking enzyme according to single-base sequencing depth and analysis. The present application does not need to determine the sequence of the nucleic acid to be cleaved, has short time consumption and low budget, and has a good application prospect.

The application relates to the technical field of power distribution control, in particular to an active power distribution network fault self-healing system and a method thereof, which comprises a data sensing module, a fault positioning module, an isolation control module, a fault self-healing module and a power supply recovery module, and realizes intelligent processing of the whole process from fault detection to power supply recovery through cooperation of the multiple modules. The system can quickly position faults based on FTU layout structure and operation data, optimizes analysis efficiency in combination with a GPU computing power dynamic distribution mechanism, and realizes accurate isolation of a fault area, self-healing repair and smooth grid recovery by using intelligent strategy generation and digital twin technology. The application effectively improves the power supply reliability, system stability and operation intelligent level of the power distribution network.

The invention relates to a method for determining the total amount of impurity elements in a natural high-purity quartz mineral, which comprises the following steps of: preparing a laser sheet of the quartz mineral, observing and photographing by using a polarizing microscope, designing an analysis test point on a picture, and carrying out point-by-point analysis and determination on a laser ablation and inductively coupled plasma spectrum according to the design point. Accurate determination of impurity elements of quartz minerals in a natural high-purity quartz raw material is realized, comprehensive analysis and evaluation are carried out, and grade characteristics of the quartz minerals in the high-purity quartz raw material are further determined. The method is suitable for analysis and determination of impurity elements in natural quartz minerals, has the advantages of low detection limit, high sensitivity, wide linear range and the like, can be applied to effective and rapid evaluation, quality monitoring and the like of high-purity quartz raw materials, and provides quartz mineral raw materials with stable grades for the high-purity quartz sand industry.

This invention discloses a method for quantitatively detecting muscle inositol in blood. It employs an electrochemical method and specifically includes the following steps: a) preparation of a series of standard working solutions; b) preparation of a blank sample solution; c) plotting a standard curve using differential pulse voltammetry (DPV) with the blank sample solution and the series of standard working solutions; d) preparation of the test sample solution; e) determination of the muscle inositol content in the test sample. Experiments have demonstrated that the method of this invention yields accurate and reliable results and can be used for clinical blood testing.

This invention relates to the field of medical data processing technology, and discloses an Alzheimer's disease prediction method, system, device, and medium, comprising: obtaining spectral data of a target group in a non-invasive manner; training an Alzheimer's disease prediction model based on the spectral data; the target group includes healthy individuals and individuals with Alzheimer's disease. This invention non-invasively obtains samples from the target group, utilizing the advantages of laser-induced breakdown spectroscopy (LAS) for simultaneous detection and analysis of all elements at high speed. It achieves qualitative or quantitative analysis of the chemical composition of material surfaces by measuring the emission spectrum of micro-plasma, accurately and rapidly obtaining spectral data of the target group. The Alzheimer's disease prediction model trained based on the spectral data can effectively assist doctors in early screening of individuals, enabling early intervention for patients with early-stage Alzheimer's disease, and has broad application prospects.

The invention provides a molecularly imprinted polymer membrane based on microfluidic confinement and a preparation method and application thereof, the preparation method comprises the following steps: taking a base material, and arranging a microchannel on the base material; adding the prepolymerization solution into the microchannel; the prepolymerization solution comprises a silane coupling agent, template molecules, a cross-linking agent and a catalyst; and carrying out polymerization reaction on the prepolymerization solution under a confinement condition to prepare the molecularly imprinted polymer membrane. The microchannel is used for providing a confinement environment for in-situ growth of the molecularly imprinted polymer film, simultaneous imprinting of multiple template molecules is achieved, the obtained molecularly imprinted polymer film is uniform and controllable in thickness and matched with a detection probe, simultaneous detection of multiple substances can be achieved, the preparation method is simple, and preparation conditions are mild. According to the invention, high-integration-level detection of MIPs and NIPs is realized on the same chip, and the chip is simultaneously applied to simultaneous identification, separation, enrichment and detection of simultaneous detection of various substances.

The invention discloses a full-automatic flow analyzer and method for determining total phosphorus and phosphate in water, and belongs to the field of full-automatic flow analyzers, the full-automatic flow analyzer comprises an automatic sample introduction part, a solution conveying part, a chemical flow path, a detector and a data processing workstation; the automatic sample introduction part comprises a sample disc, a sample tube, a sample introduction arm and a sample introduction needle; the solution conveying part comprises a multi-channel peristaltic pump, a sample pump pipe, a digestion solution pump pipe, a reducing agent pump pipe, a color developing agent pump pipe, an air pump pipe and a bubble removing pump pipe; the chemical flow path comprises a four-way valve, a right-angle tee joint with a hole, a capillary tube, a digestion liquid bottle, an air valve, an ultraviolet digestion device, a two-way joint, a heating module, a tee joint, a mixed reaction tube, a right-angle tee joint, a reducing agent bottle, a color developing agent bottle and a waste liquid bottle. According to the invention, seawater or fresh water samples can be continuously and automatically tested, the test speed is high, the detection efficiency of total phosphorus and phosphate is improved, the sensitivity is high, the accuracy is good, the precision is high, the repeatability is good, the operation is simple, and the automation degree is high.

The invention relates to the technical field of chemical detection, in particular to an atmospheric particulate oxidation potential detection method and system.The detection method comprises the steps that reaction liquid obtained by mixed incubation of a probe molecule solution and an atmospheric particulate solution is injected into a photoelectrochemical micro-fluidic chip of a three-electrode system; and substituting the obtained photocurrent response value into a pre-established standard curve to obtain an equivalent value of the oxidizing component in the reaction liquid, thereby realizing the detection of the oxidation potential of the atmospheric particulates. A photoelectrochemical micro-fluidic chip is formed by combining a photoelectrochemical sensor and a micro-fluidic system, and an efficient analysis system is constructed. According to the present invention, the specific reaction between the oxidizing component in the atmospheric particulate matter and the probe molecule is adopted to cause the consumption of the probe molecule or the generation of the reactant so as to cause the quantitative change of the photocurrent signal, such that the atmospheric particulate matter oxidation potential is indirectly represented by detecting the consumption of the probe molecule; the interference of a complex matrix on direct detection is effectively avoided.

The invention relates to a method for detecting the content of aluminum and potassium in cesium-containing aluminum brazing flux, and belongs to the technical field of chemical detection and analysis. The detection method provided by the invention comprises the following steps: S1, adding water into a cesium-aluminum-containing brazing flux sample, uniformly mixing, then adding concentrated nitric acid with the volume of V1 and perchloric acid with the volume of V2, boiling to concentrate the total volume to V2, cooling, diluting, and filtering to obtain a to-be-detected solution; and S2, respectively analyzing the concentration of the aluminum element and the concentration of the potassium element in the to-be-detected liquid at the wavelength of 396.150-396.154 nm and the wavelength of 766.488-766.494 nm by adopting an inductively coupled plasma emission spectrometry to obtain the aluminum content and the potassium content in the cesium-containing aluminum soldering flux sample. The detection method provided by the invention solves the problems of instrument corrosion caused by high fluorine in the aluminum soldering flux, serious cesium matrix interference and low determination accuracy, and is high in accuracy, good in precision and high in sensitivity.

The invention discloses a direct mass spectrometry device and method for trace uranium in a water body, and relates to the technical field of analys.The method comprises the steps that a gel film is soaked in uranium-containing wastewater and taken out, a tip is cut out, and the uranium-adsorbed gel film is obtained; dropwise adding an extracting agent on the gel film, and then applying high voltage on the gel film, so that uranium adsorbed on the gel film is extracted and moves towards the tip along with the solvent to form spray; uranium is ionized in the form of uranyl acetate and detected by a mass spectrum detection system; according to the invention, accurate analysis of trace uranium can be realized, and mass loss of uranium in a water sample due to links such as sample treatment and preservation is avoided. The device can be applied to various complex water environments, and direct mass spectrometry can be realized only by shearing gel into a triangular shape with a tip and applying voltage and an extracting agent during analysis. And the method has the advantages of high analysis speed, good linear relationship, low detection limit and the like.

The application belongs to the field of molecular biology identification, and particularly relates to a specific SNP site combination for identifying Duntou pig breeds and application. The specific SNP site combination for identifying Duntou pig breeds comprises 40 SNP sites, and the physical position is based on the reference genome of pigs Sscrofa11.1 The sequence comparison is determined. The specific SNP site combination is screened based on the method of whole genome association analysis combined with selection signal analysis, so as to ensure the accuracy of site selection. The specific SNP site combination provided by the application can rapidly realize the accurate identification of Duntou pig breeds at the gene level, and has significant application value in the accurate protection of Hainan local pig genetic resources and breed utilization.

The application discloses a method and device for detecting impurity element zinc in high-purity gallium. The detection method comprises the following steps: taking a mixed centrifugal extraction tube, adding a high-purity gallium sample, adding a solution containing a high-purity extractant, sealing the mixed centrifugal extraction tube, fixing the mixed centrifugal extraction tube horizontally on a mixed oscillation extractor, performing oscillation extraction, taking out the mixed centrifugal extraction tube, vertically storing the mixed centrifugal extraction tube, making liquid gallium gather at the conical bottom of the mixed centrifugal extraction tube, separating the extraction liquid, and using internal standard calibration ICP-MS to detect the impurity zinc content. The volume concentration of the high-purity extractant in the solution containing the high-purity extractant is 1-10%, and the high-purity extractant is selected from one of hydrochloric acid, nitric acid and sulfuric acid. The detection method provided by the application has the advantages of simple process, short flow, easy operation, fast extraction and separation speed, clean matrix removal, complete impurity retention and good reproducibility.

The invention relates to the technical field of chemical detection, in particular to a method for analyzing sample components containing one or more of 1, 4-cyclohexanedimethanol, dimethyl 1, 4-cyclohexanedicarboxylate and dimethyl terephthalate. The analysis method comprises the following steps: sample pretreatment: pretreating a sample to obtain a liquid without mechanical impurities as a sample to be detected; determining and analyzing a to-be-detected sample: injecting the to-be-detected sample into a gas chromatograph for detection, and determining the nature by using an external standard method; the detection conditions are as follows: the detector is FID, and the temperature of the FID is 295-320 DEG C. The analysis method disclosed by the invention is simple, good in reproducibility, high in sensitivity, good in stability, simple to operate and high in analysis speed, can meet the analysis requirements of 1, 4-cyclohexanedimethanol, raw materials thereof and raw material hydrogenation products or samples containing or partially containing similar components, and omits the tedious operation of selecting and adding internal standard substances.

The invention discloses a method for quantitatively analyzing the content of alpha2-3 acetylneuraminic acid in glycoprotein, which comprises the following steps: firstly, treating a sample containing glycoprotein by using streptococcus pneumoniae acetylneuraminidase, and continuously treating the sample containing glycoprotein by using clostridium perfringens acetylneuraminidase in the same solution; centrifugally separating and taking a separating solution containing two acetylneuraminic acid products outside the centrifugal tube; and detecting and collecting two hydrolysates 2, 7-dehydrated acetylneuraminic acid and the signal intensity of acetylneuraminic acid in a negative ion mode, and calculating the percentage content of alpha2-3 linked acetylneuraminic acid by using a formula. According to the method, the sensitivity of quantitative analysis of alpha2-3 acetylneuraminic acid can be improved, and the time consumption of detection and analysis is reduced.

The application provides a pathogenic macro-genome data analysis method. The method mainly comprises five steps of removing host sequences, filtering internal references and contaminated sequences, rapid classification analysis, accurate alignment analysis and report generation, and can rapidly and accurately identify pathogenic species from sequencing data containing a large amount of host sequences and complex background sequences.

The invention relates to a method for determining silicon dioxide in quartz glass based on a high-temperature melting reaction-inductively coupled plasma atomic emission spectrometer. The method comprises the following steps: crushing and grinding a sample into powder; adding a strong alkali flux into the obtained powdery sample, and uniformly mixing to obtain a mixture; melting the mixture at high temperature; leaching reactants with hot water and fixing the volume; drawing a silicon element concentration-spectral line emission intensity standard curve; testing the content of silicon in the sample solution; and calculating the content of silicon dioxide according to the measured content of silicon. The method comprises the following steps: adding a strong alkali solvent into a powdery sample obtained by grinding the sample, carrying out a high-temperature melting reaction, heating water to dissolve a reactant, and determining the content of silicon in the solution by adopting an inductively coupled plasma atomic emission spectrometer, so as to calculate the content of silicon dioxide in the quartz glass sample.

This invention discloses a method for evaluating the content and particle size of aluminum inclusions in steel, comprising the following steps: S1, preparing a test solution from a steel sample and placing it in a container, dividing it into n+1 portions from top to bottom using n graduations, where 1≤n≤10; S2, detecting the total aluminum content Alt, acid-soluble aluminum content Als, mixed aluminum content Alh, and aluminum fraction Alsn in the steel sample; S3, the particle size of the aluminum inclusions at the nth graduation in step S1 is dn, and the aluminum inclusion content Pn is calculated based on the detection results of step S2. The content of aluminum inclusions with a particle size ≥dn in the steel sample is evaluated as Pn. This method for evaluating the content and particle size of aluminum inclusions in steel has the advantages of short analysis cycle, no waste liquid discharge, low equipment investment, and easy promotion and application.

The application belongs to the technical field of pathogenic microorganism detection, and discloses a multi-target pathogenic microorganism analysis method based on third-generation targeted sequencing data, specifically: a multi-target correlation error correction reference sequence library is established, original sequencing data is quality controlled, then is compared to a pathogenic microorganism identification database to obtain a preliminary microorganism detection list, a pathogenic microorganism detection library is constructed based on the list and the error correction reference sequence library, and the quality controlled sequencing data is compared to the pathogenic microorganism detection library to obtain an accurate microorganism detection list. The method can effectively solve the accuracy problem of single-target identification, realize accurate detection of the species composition in the sample to be detected, and improve the accuracy and sensitivity of data analysis.

The application discloses a zearalenone toxin separation and ionization integrated mass spectrometry ionization device and application thereof, wherein the mass spectrometry ionization device comprises a sample carrier table, the sample carrier table comprises a support frame, a detachable extraction element, one end of the extraction element is connected with the support frame, the extraction element comprises a conductive layer formed by stainless steel, an extraction layer located on at least part of the surface of the conductive layer, the extraction layer is formed by a covalent organic polymer, wherein the covalent organic polymer is formed by 1, 3, 5-tri (4-aminophenyl) benzene (TAPB) and 1, 3, 5-triformylphloroglucinol (Tp) through a polymerization reaction, and a high-voltage power supply connected with the extraction element. The extraction layer of the extraction element of the device is formed by a covalent organic polymer, the extraction layer has selective adsorption capacity for zearalenone mycotoxins, and the adsorption capacity is strong.

The application discloses an on-line monitoring device and method for dissolved gas in transformer oil based on infrared spectrum, which comprises a transformer oil gas separation part, an infrared spectrum gas detection part and a data processing part. The method comprises the following steps: firstly, carrying out oil gas separation; then, sending the obtained dissolved gas in oil into a gas chamber and scanning the gas chamber by using an infrared spectrometer to obtain a spectrum diagram; and finally, obtaining the content of various target gases in oil by using a gas quantitative analysis model. The application uses infrared spectrum method as the gas detection part, has the advantages of fast spectrum data acquisition, no consumption of gas samples, wide detection range, high stability, maintenance-free, long-term operation monitoring cost, etc. compared with the most widely used gas chromatography method for on-line monitoring of gases in transformer oil. The device adopts a structure based on single-chamber vacuum degassing, solves the problem of spectrum baseline offset distortion, and does not need to consume nitrogen as background, thereby improving the automation degree of the device.

The present application relates to the technical field of traditional Chinese medicine detection, and specifically provides a characteristic spectrum construction method of Herba Centipedae and its preparation. A specific elution procedure is obtained through a large number of experiments by using octadecylsilane bonded silica gel as a filler and a mobile phase including methanol and an acid-containing aqueous solution for gradient elution, 13 or more common characteristic peaks are obtained, and effective separation of characteristic peaks including neochlorogenic acid, caffeic acid, chlorogenic acid, cryptochlorogenic acid, 1,4-dicaffeoylquinic acid, 1,5-dicaffeoylquinic acid, big pothos glycoside and thymotin lactone ketone is achieved, the peak shape is good, the baseline is smooth, the determined components can be completely separated, the detection time is short, and the method provides a basis for quality detection and control of Herba Centipedae and its preparation, can fully reflect the integrity and characteristics of Herba Centipedae and its preparation, and is simple to operate and applicable to quality control of different preparation types of Herba Centipedae.

This application provides an electrochemical sensor for detecting luteolin, comprising a working electrode and a sensing material modified on the working electrode; the sensing material is a Co-N / C nanomaterial. The Co-N / C nanomaterial prepared in this application possesses a unique structure and excellent electrocatalytic activity, which can significantly enhance the electrochemical response signal to luteolin, thereby achieving highly sensitive detection of luteolin. Simultaneously, this sensor exhibits good selectivity, effectively avoiding interference from other coexisting substances in the sample.

This invention discloses a method for separating and purifying indium from a cadmium-indium mixture. The method involves dissolving and filtering the substance to be purified, containing both cadmium and indium compounds, to obtain a mixed solution. Separation is then performed in a chromatograph using a high-efficiency cation exchange packing as the stationary phase and an aqueous solution of an organic acid as the mobile phase. The indium solution is collected based on the indium peak time. The high-efficiency cation exchange packing is a silica gel packing with sulfonic acid groups bonded to its surface; the organic acid is at least one selected from oxalic acid, citric acid, and α-hydroxyisobutyric acid, with a concentration of 10-400 mM and a pH of 2.0-5.5. This method achieves a maximum separation degree of 24.94, can separate indium purity of over 99.8% in a single step, has an analysis time of less than 35 minutes, and exhibits good scalability, meeting the production requirements of the medical isotope indium-111.

The invention relates to the technical field of data processing, in particular to a distributed storage-oriented mass data desensitization method and system. The method comprises the following steps: extracting an extreme value of a numerical value of a target field in a file range; constructing a statistical vector according to the maximum value and the minimum value of the numerical value of the target field and the total row number; constructing a row group numerical interval of a row group corresponding to the target field; extracting prefix data with the maximum and minimum numerical value in each row group numerical value interval; determining an interval overlapping index according to the starting event point and the ending event point in the row group numerical interval; performing span correction according to the difference between the maximum and minimum values in the statistical vector, and determining a sparse degree index; determining prefix uniqueness in prefix data corresponding to all row group numerical intervals; synthesizing the interval overlapping index, the sparse degree index and the prefix uniqueness to generate a semantic tag corresponding to the target field; and according to the semantic tag of the target field, dynamically injecting a desensitization operator during query. According to the method and the device, the accuracy of desensitizing the sensitive data is improved.

The invention provides a method for determining the concentration of ibrutinib in a plasma sample. According to the method, a precipitated protein pretreatment method is preferably adopted, ibrutinib-d5 is taken as an internal standard, a Venusil MP C18 (2) chromatographic column is adopted as a chromatographic condition, an aqueous solution containing 0.2% of formic acid and 5 mM of ammonium acetate and acetonitrile containing 0.2% of formic acid are taken as mobile phases for isocratic elution, and electrospray ionization source tandem mass spectrometry is adopted for detection. Compared with the prior art, the method has the characteristic of simple and convenient pretreatment operation, the extracted sample is easy to store, the analysis speed is high, and the method is suitable for large-scale clinical research sample analysis; the method has higher sensitivity, can meet the application of ibrutinib with a smaller dosage, and is particularly suitable for detecting ibrutinib in a hemolysis sample.

The application discloses a method for detecting artepillin C in Brazilian propolis by using a thin layer scanner and belongs to the field of traditional Chinese medicine quality detection. The method specifically comprises the following steps: sucking the pretreated propolis sample solution and spotting the sample solution on a thin layer chromatography silica gel plate; adopting a mixed system of petroleum ether, ethyl acetate and formic acid with a volume ratio of (8-14):(3-6):(0.2-1) as a developing agent, flowing the developing agent through the fixed phase with the propolis sample solution, and drying to obtain a sample to be measured; scanning the chromatographic spots in the sample to be measured by using a thin layer scanner, testing the wavelength of 290-320 nm, the reference wavelength of 400-800 nm, and obtaining the absorbance integral value of the sample to be measured; and converting the absorbance integral value with an artepillin C standard curve to obtain the content of artepillin C in the sample to be measured. The method can simultaneously determine the content of artepillin C in multiple batches of propolis samples, the chromatographic peak of artepillin C is well separated and stable in scanning, and the method has the advantages of fast detection speed and low cost.

This invention provides a crowd density analysis method based on dual-path collaboration, comprising: constructing an analysis model, the analysis model including a first generative model, the first generative model taking an image as input and outputting a crowd density map of the image; training the analysis model, comprising: constructing a training set; constructing a first generative adversarial network (GAN) using the first generative model and a first discriminant model, and inputting the training images from the training set into the first GAN; constructing a second GAN using a second generative model and a second discriminant model, randomly segmenting the training image into multiple sub-training images, and inputting these sub-images into the second GAN; optimizing the first generative model using the loss functions of the first and second GANs; and inputting the original image into the trained analysis model to obtain the crowd density map of the original image. This invention also provides a system. This invention uses only the first generative model when analyzing the original image, reducing model overhead and complexity.