3525results about How to "Good repeatability" patented technology

The invention aims to provide a method and a device for determining the peak area of chloride ions based on ion chromatography. The method for determining the peak area of chloride ions based on ion chromatography comprises the following steps: step 1, identifying a chromatographic peak: peak separation, peak qualitation, baseline correction, peak trailing treatment and peak overlapping treatment; and step 2, calculating the chromatographic peak area: peak definition, integration algorithm, calibration curve application, repeatability verification, impurity peak deduction and main peak area calculation. According to the method, a chromatographic peak identification and chromatographic peak area calculation mode is designed, so that the technical problem that other impurity ions may be introduced to influence chloride ion chromatographic peak identification and accurate area calculation in an existing mode of determining organic chlorine through ion chromatography is solved.

The invention relates to the technical field of biological information, in particular to a method and system for online integration of multi-source single cell data. The method comprises the following steps: acquiring multi-source single cell transcriptome data; performing data quality evaluation based on gene expression quantity, mitochondrial gene proportion and cell data depth on the single cell transcriptome data to obtain initial quality control data; setting standardized filtering parameters according to the initial quality control data, and performing quality control parameter filtering on the single cell transcriptome data to obtain filtered cell data; performing gene expression characteristic analysis on the filtered cell data to generate high-variation gene expression characteristic data; and performing gene expression spatio-temporal distribution statistics according to the high-variation gene expression feature data to generate gene expression statistical feature data. According to the method, through refined quality control and batch effect correction, data from different sources can be seamlessly integrated on the premise of ensuring data quality, so that noise caused by different batches and technical platforms is eliminated.

The invention belongs to the technical field of data asset management, and discloses an enterprise data asset auditing method and system based on big data, and the method comprises the steps: collecting financial information data, business operation data, management decision data and external industry data of an enterprise; preprocessing the collected financial information data, business operation data, management decision data and external industry data to obtain a financial feature data set, a business operation feature data set, a management decision feature data set and an external industry feature data set; performing feature extraction and weighted fusion on the financial feature data set, the business operation feature data set, the management decision feature data set and the external industry feature data set to obtain a comprehensive feature data set; constructing an audit risk prediction model, inputting the comprehensive feature data set into the audit risk prediction model, and predicting to obtain an audit risk coefficient of the enterprise data assets; and a more comprehensive view angle is provided, and the data asset risk of the enterprise can be evaluated more accurately.

The invention discloses a ring piece ultrasonic detection noise reduction and identification method and system and a computer storage medium. The method comprises the steps that a matched ultrasonic phased array probe is selected according to the shape and size of the cross section of a workpiece, and technological parameters are set and comprise at least one of the probe frequency, the number of array elements, the water layer height and the focusing depth; according to the selected ultrasonic phased array probe and process parameters, ring piece water immersion ultrasonic phased array detection is carried out, full-coverage scanning is carried out in a weld joint area, and the scanning position of the probe is recorded in real time through an encoder; in the scanning process, an ultrasonic image scanned by the phased array probe is collected in real time, and the ultrasonic image is transmitted to a pre-trained adaptive noise reduction YOLOv5 target detection model for defect recognition; and the rotating angle position of the ring piece is recorded in real time through an encoder, and when the target detection model finds defects, the defect position is recorded, and alarm information is generated. The method is suitable for ring piece ultrasonic detection noise reduction and recognition, the defect recognition accuracy can be improved, and the manual labor intensity is reduced.

The invention discloses an unmanned aerial vehicle infrastructure construction supervision method and system based on 5G, and belongs to the field of unmanned aerial vehicle monitoring. The unmanned aerial vehicle infrastructure construction supervision system comprises an unmanned aerial vehicle module, a 5G communication module, a data processing module, a cloud storage module, a mobile terminal module, a system management module and a visual management module; the unmanned aerial vehicle module is provided with a high-definition camera, an infrared sensor and a laser range finder, and high-quality construction site data is obtained; the data processing module processes and analyzes the data acquired by the unmanned aerial vehicle; the visual management module compares data acquired by the unmanned aerial vehicle with a construction plan, can generate a real-time visual chart of the construction progress, and displays the construction progress to a supervisor in a visual manner; real-time image transmission is achieved through the system, supervisors can know the progress condition of a project in real time, discover problems in time and take corresponding measures, construction efficiency and quality are improved, and cost and risks are reduced.

The invention provides a low-cost preparation method of high-performance titanium-doped iron phosphate, and relates to the technical field of batteries. The low-cost preparation method comprises the following steps: S1, respectively preparing a phosphoric acid solution, a hydrogen peroxide solution, a phosphorus salt solution and a ferrite solution; s2, adding titanium sulfate into the ferrite solution to obtain an iron-titanium mixed solution; s3, directly adding ammonia water and a hydrogen peroxide solution into the phosphorus salt solution to obtain a phosphorus-oxygen mixed solution; s4, the iron-titanium mixed solution is heated, the phosphorus-oxygen mixed solution is put into the iron-titanium mixed solution, and slurry A is obtained; s5, obtaining a filter cake A; s6, adding pure water and a phosphoric acid solution, and heating to obtain slurry B; s7, obtaining anhydrous iron phosphate; the synthesized iron phosphate is compact and compact in morphology, internal pore channels of primary particles are still rich, the compaction density of the lithium iron phosphate material obtained through grinding and sintering reaches 2.613 g / cc, the 0.1 C discharge capacity can still reach 156.35 mAh / g, and the 1C discharge capacity reaches 131.47 mAh / g.

The invention relates to a preparation method of an amino-functionalized metal organic framework material and application of the prepared material to separation of CO2 / N2 and CO2 / CH4. The preparation method comprises the following steps: dissolving adenine and copper nitrate trihydrate in N, N '-dimethylacetamide to obtain a first mixed solution; dissolving carboxylic acid and potassium carbonate in deionized water to obtain a second mixed solution; and adding the second mixed solution into the first mixed solution, carrying out stirring reaction, and carrying out vacuum drying on an obtained solid product to obtain the amino-functionalized metal organic framework material. The amino-functionalized metal organic framework material prepared by the invention has high CO2 adsorption selectivity and adsorption capacity, and also has good acid-resistant, alkali-resistant and water-resistant stability. The amino-functionalized metal organic framework material prepared by the preparation method disclosed by the invention is applied to industrial CO2 adsorption separation and has an excellent separation effect.

The invention relates to a composite hydrogel dressing for promoting wound healing as well as preparation and application thereof, and belongs to the technical field of biological medicines. The hydrogel disclosed by the invention is prepared by mixing gelatin, oxidized dextran and metal ion modified metal-organic framework compounds (MOF-Ag and MOF-Cu). In the mixed solution, amino groups in the gelatin and aldehyde groups of the oxidized dextran are subjected to a Schiff base cross-linking reaction, and the composite hydrogel is formed after standing. The loaded MOF-Ag has antibacterial and anti-biofilm effects on staphylococcus aureus and escherichia coli, and the loaded MOF-Cu has similar superoxide dismutase activity and similar glutathione peroxidase activity, so that excessive active oxygen can be removed, and inflammatory response can be relieved. The obtained hydrogel has good biocompatibility, proper mechanical properties and biological adhesion, stable rheological properties, excellent antibacterial and anti-inflammatory functions and a certain hemostatic function.

The invention provides a vascularized organ-like chip based on seal microstructure patterning and a preparation method thereof, the chip comprises a micro-channel layer, the upper surface of the micro-channel layer is provided with a gel perfusion channel, a central tissue chamber and culture medium flow channels at two sides which are connected, and tumor spheres or colon cells are inoculated in the central tissue chamber; the liquid storage pool layer is arranged on the upper surface of the micro-channel layer and corresponds to the inlet and outlet of the gel filling channel, the inlet and outlet of the central tissue chamber and the inlet and outlet of the culture medium runner, the liquid storage pool layer is provided with a plurality of liquid storage pools and a plurality of through holes, and the liquid storage pools contain culture solutions to provide nutrients for cultured tissues; and the seal module is arranged above the central tissue chamber, the seal module is provided with a tumor seal and a colon seal, and the tumor seal and the colon seal are respectively provided with a microstructure three-dimensional module and are respectively used for simulating the culture environment of tumor spheres or colon cells. According to the invention, in-vitro construction of the vascularized tumor model and the colon model is realized, and a guide is provided for construction of the vascularized organ-like model with specific organ three-dimensional microstructure characteristics.

The invention discloses a tunnel construction quality evaluation system and method. The evaluation system comprises a data acquisition module, a quality evaluation standard system, an early warning and notification module and a data management module. Wherein the data acquisition module is used for acquiring construction vehicle data, construction site sensors and site photographing; the quality evaluation standard system comprises drilling quality evaluation, back break evaluation, primary support thickness evaluation, anchor rod construction quality evaluation, waterproof and drainage pipe quality evaluation, steel bar binding quality evaluation, secondary lining quality evaluation and primary support flatness evaluation; the early warning and notification module integrates early warning signals from all the evaluation modules; and the data management module is responsible for storing data generated by each independent module and executing cross-module data analysis. According to the tunnel construction quality evaluation system, by integrating advanced monitoring equipment, an automatic algorithm and comprehensive data analysis, the quality control effect in the tunnel construction process is remarkably improved.

The invention discloses a long-distance high-pressure water delivery pipeline water hammer and leakage monitoring and positioning test device, which comprises a water tank, a water outlet side experiment unit, a water return side main path experiment unit and a water return side branch experiment unit, and is characterized in that the water outlet side experiment unit and the water return side branch experiment unit are communicated with the water return side main path experiment unit; the water outlet side experiment unit, the water return side main path experiment unit and the water return side branch path experiment unit are all communicated with the water tank. The device solves the problem that tiny leakage is difficult to monitor in the high-pressure water delivery process in the existing related test experiment technology, and the problems that the water hammer experiment signal precision acquisition is insufficient and the water hammer experiment causes impact damage to equipment. The invention further discloses a using method of the long-distance high-pressure water conveying pipeline water hammer and leakage monitoring and positioning testing device.

The invention relates to a monocular vision tower span measurement method based on RTK correction, and belongs to the technical field of space distance measurement. Comprising the following steps: acquiring ambient light intensity and quality in real time based on an environment where a power transmission and distribution tower is located, and obtaining ambient light adaptation parameters by analyzing ambient light data and adjusting ISO sensitivity and shutter speed of a camera. According to the method, real-time environment light data analysis and camera parameter automatic adjustment are introduced in the monocular vision tower span measurement process, the image quality is effectively improved, tower recognition is more accurate, background interference is reduced, the geographic position and the shooting angle of a shooting point are corrected through the RTK technology, and the measurement accuracy is improved. And perspective transformation correction is carried out on the image in cooperation with a perspective projection theory, and the accuracy of distance measurement data is improved to centimeter level.

The invention relates to the technical field of carbon monoxide oxidation catalysts, and discloses a sulfur-tolerant noble metal-based CO oxidation catalyst as well as a preparation method and application thereof. The preparation method of the catalyst comprises the following steps: dipping a carrier in an aqueous solution containing a noble metal precursor and an auxiliary agent precursor, and then drying and roasting to obtain a catalyst matrix; carrying out pre-reduction treatment on the catalyst matrix in a hydrogen-containing atmosphere to obtain a catalyst intermediate; carrying out induced activation on the catalyst intermediate in an atmosphere containing CO and H2S; wherein the carrier is at least one of titanium dioxide, cerium dioxide, aluminum oxide and zirconium dioxide, and the metal element in the auxiliary agent precursor is at least one of Fe, Co and Ni. The catalyst prepared by the method provided by the invention can realize the high-selectivity oxidation process of H2S species, inhibits the adsorption of S species and the formation process of sulfate, and realizes the high-conversion-rate oxidation reaction of carbon monoxide in the presence of H2S.

The invention belongs to the technical field of pyridone ethanolamine salt synthesis, and discloses an environment-friendly pyridone ethanolamine salt preparation process which comprises the following preparation steps: enabling isononanoyl chloride and 3, 3-methyl dimethacrylate to react under the catalysis of a solid acid catalyst to prepare 3, 7, 9, 9-tetramethyl-2-decene-5-keto acid methyl ester, and enabling the 3, 7, 9, 9-tetramethyl-2-decene-5-keto acid methyl ester to react under the catalysis of a solid acid catalyst to prepare 3, 7, 9, 9-tetramethyl-2-decene-5-keto acid methyl ester. The preparation method of the solid acid catalyst comprises the following steps: S1, taking water as a solvent, adding 14-16 parts by weight of zirconium oxychloride, 1-3 parts by weight of titanium sulfate, 0.1-0.5 part by weight of chloroplatinic acid and 0.05-0.4 part by weight of cerium chloride, adjusting the pH value to 10-11, and aging to obtain a precipitate; s2, roasting the precipitate obtained in the step S1 in an air atmosphere at 500-600 DEG C to obtain a solid acid catalyst; the method has the advantages that the catalyst is easy to recycle, and the reusability is high.

The invention discloses a stroke prognosis prediction method and system, and the method comprises the steps: S1, obtaining a CTP image of a whole cerebral vessel; and S2, the CTP image is segmented, and the segmented CTP image is obtained. And S3, carrying out feature extraction on the segmented CTP image to respectively obtain morphological features of whole cerebral vessels, perfusion features of an infarction core region and blood flow difference features of key blood vessel points. And S4, constructing a stroke prognosis prediction model based on machine learning according to the morphological characteristics of the whole brain blood vessels, the infarct core region perfusion characteristics and the blood flow difference characteristics of the key blood vessel points. According to the method, the blood flow and perfusion characteristics of the blood vessel are extracted more comprehensively, finely and quantitatively, and the whole method and system are full-automatic and do not need manual participation.

The invention discloses a method for simulating small intestine-colon dynamic digestion and glycolysis of polysaccharide-based food, and belongs to the technical field of food detection. The small intestine-colon simulated digestion and absorption system special for the polysaccharide-based food comprises a small intestine digestion simulation system, a sampling and emptying system, a large intestine glycolysis simulation system and a central intelligent control and display system (a pH control system, a temperature control system, a stirring rate control system, a gas path system and a flow rate control system). Aiming at the limitations that an existing human gastrointestinal tract digestion in-vitro simulation system cannot be continuous, is short in period and the like, the in-vivo real digestion and glycolysis physiological environment and process are simulated, intestinal peristalsis waves and digestion and glycolysis of polysaccharide-based food are simulated, automatic sampling can be achieved, generation of glucose in small intestines can be detected on line, and the in-vitro simulation system fits the real human physiological environment.

The invention belongs to the technical field of ethylene oligomerization catalysis, and discloses a catalytic system for ethylene selective oligomerization and a preparation method and application thereof, and the catalytic system comprises a carbon bridge bidentate phosphine chromium catalyst, an organic boron auxiliary agent and an aluminum-containing activator in a molar ratio of 1: (1-50): (100-1500). The carbon-chromium catalyst is prepared by the following steps: reacting CrCl3 (THF) 3, a ligand and CH2Cl2 under stirring, filtering, and carrying out post-treatment to obtain the catalyst, the catalyst and the aluminum-containing activating agent are uniformly mixed, and then the organic boron auxiliary agent is added and stirred. The catalyst system constructed by the carbon bridge bidentate phosphine chromium catalyst, the organic boron auxiliary agent and the aluminum-containing activating agent realizes ethylene selective oligomerization. The catalytic system can realize high-efficiency and high-selectivity preparation of 1-hexene and 1-octene under the condition that aluminoxane co-catalysts such as MAO and MMAO are not adopted, the catalytic activity is high, the reaction initiation is rapid, the operation is stable, and the repeatability is good.

The invention provides a method for determining total folic acid in red blood cells by liquid chromatography-tandem mass spectrometry, which comprises the following steps: firstly, detecting the concentrations of two folic acid metabolites, namely 5-methyltetrahydrofolic acid and 5, 10-methylenetetrahydrofolic acid in the red blood cells by liquid chromatography-tandem mass spectrometry; and then the measured concentration is substituted into a formula (C red blood cell total folic acid = C red blood cell 5-methyltetrahydrofolic acid + a * C red blood cell 5, 10-methylenetetrahydrofolic acid, correction factor a = 3), the red blood cell total folic acid concentration is calculated, and the formula is obtained by correcting a detection result of a folic acid protein binding method. In conclusion, the blank that the total folic acid in the red blood cells cannot be detected by a liquid chromatography-tandem mass spectrometry method is filled, and the detection method is simple in step and accurate in result.

The invention belongs to the technical field of microorganisms, and particularly relates to a microorganism detection culture device and method.The system comprises an intelligent environment control system, and a sensor monitors the temperature, humidity and gas concentration of a culture environment in real time to ensure that environment parameters needed by microorganism growth are kept in the optimal state; the automatic sample processing and operating system avoids pollution or errors caused by manual intervention through a mechanical arm or an automatic transmission device; the real-time image monitoring and analyzing system is used for monitoring the growth state of the microorganisms in the culture dish; the camera can continuously shoot images in the culture process; the rapid detection module rapidly obtains activity information of microorganisms, rapid detection is achieved, and time needed by traditional culture is shortened. According to the invention, accurate control, automatic operation and rapid detection are realized, and an efficient, safe and intelligent solution is provided for microbial culture and detection.

The invention provides a kit and a detection method for detecting Alzheimer disease related proteins in human blood. The kit comprises a microsphere solution coupled with a p-Tau-217 capture antibody, a microsphere solution coupled with a p-Tau-231 capture antibody, a fluorescein PE coupling detection antibody solution and a diluent, the diluent is prepared from tris (hydroxymethyl) aminomethane, Triton X-100, sodium chloride and Proclin300; according to the kit provided by the invention, the accuracy of detecting the p-Tau-217 protein and the p-Tau-231 protein is improved by designing the microspheres, specifically detecting the p-Tau-217 protein and the p-Tau-231 protein and using a double-antibody sandwich detection method, clinical detection application is more convenient, and the kit is high in specificity, high in sensitivity, good in repeatability and relatively good in application prospect.

The invention relates to the technical field of quality evaluation, and discloses a lightweight beef quality evaluation method based on unsupervised feature learning, and the method comprises the steps: obtaining original hyperspectral data of beef as real data, and generating high-quality sample data based on a generative adversarial network model; preprocessing the high-quality sample data, mapping, reconstructing and fusing the preprocessed sample data, extracting spectral and spatial features of different levels, and fusing or splicing the spectral and spatial features with feature values of other auxiliary data; the fusion sample features are mapped and fused, sample data of specific tiny disturbance similar to real data are generated, the sample data and the real data are alternately input into a Transform model, and parameters of the Transform model are updated; the beef quality is evaluated on the basis of the Transform model with the updated parameters; according to the method, the accuracy, objectivity, rapidness, non-destructive property and comprehensiveness of beef quality evaluation are improved.

The invention discloses a water absorption rate detection method and system for a macromolecular water absorption material, and relates to the technical field of macromolecular water absorption materials.The water absorption rate detection method for the macromolecular water absorption material comprises the following steps that the initial weight of a to-be-tested macromolecular water absorption material sample is weighed; dropwise adding test liquid to the surface of the polymer water-absorbing material sample by using a burette; obtaining test feature data; factors influencing the water absorption performance of the polymer water absorption material are obtained; predicting key factors influencing the water absorption rate of the polymer water absorption material; and judging whether the water absorbing material meets a preset performance standard or not. Conditions of each experiment can be ensured to be consistent, so that repeatability and reliability of results are improved, the water absorption process can be accurately controlled by dropwise adding test liquid through a burette, the water absorption behavior of the material can be better understood, key factors are adjusted through an optimization algorithm, then the performance of the material can be improved, and the test accuracy is improved. And the preset performance standard is met.

The invention provides a lithium manganese iron phosphate material and a preparation method and application thereof.The preparation method comprises the steps that firstly, an iron source, a manganese source, a phosphorus source and a fluorine source are mixed and react to prepare a manganese iron phosphate precursor; and then preparing the lithium manganese iron phosphate material through double-step compounding of a carbon source and operations such as multiple times of grinding and sintering of an intermediate mixed material in the preparation process. According to the preparation method, firstly, a fluorine source is added into a ferromanganese phosphate precursor, and then substances such as a lithium source are added into the prepared ferromanganese phosphate precursor, so that the obtained lithium ferromanganese phosphate material can give full play to the current transmission effect of lithium in the material on the basis of inheriting the performance of the ferromanganese phosphate precursor material. The compaction performance and the cycle performance of the lithium manganese iron phosphate material are further improved through double-step carbon source compounding and repeated grinding, sintering and other operations of an intermediate mixture in the preparation process. In addition, the preparation method is simple in process and convenient to operate, and the obtained composite material is stable in performance and high in repeatability.

The invention discloses a rhizoma menispermi medicinal material and formula granule UPLC (Ultra Performance Liquid Chromatography) identification method, which is characterized in that specified values of relative retention time of the rhizoma menispermi medicinal material and formula granule are determined through a high performance liquid chromatography, and the relative retention time of a corresponding test solution is respectively within + / -10% of the corresponding specified values of the rhizoma menispermi medicinal material and formula granule. The method can effectively identify the rhizoma menispermi medicinal material and the formula granules, can be used for identifying rhizoma menispermi and counterfeit berba aristolochiae mollissimae and subprostrate sophora medicinal materials and formula granules, and can also be used for identifying rhizoma coptidis, cortex phellodendri, caulis sinomenii and other medicinal materials containing alkaloid components and formula granules. The method overcomes the defects of the existing method, and has the characteristics of simplicity in operation, good stability, rich chromatographic peak information amount, good repeatability and high stability.

The invention discloses a steel wire rope diameter measurement method and system based on machine vision, a medium and a terminal, and the method comprises the following steps: collecting an image of a steel wire rope through an area-array camera, and carrying out the preprocessing of the collected image; automatically adjusting a threshold value according to image characteristics, performing adaptive binarization processing on the preprocessed image, and extracting an effective area of the steel wire rope; extracting the edge information of the steel wire rope in the image of the effective area by adopting a Canny operator, and detecting the central axis of the steel wire rope in the image by using Hough transformation; the edge information and the central axis position serve as new image feature vectors to be input into a trained support vector machine SVM model, and a decision function is used for calculating a predicted diameter value; according to the method, the threshold value is automatically adjusted according to the image characteristics through self-adaptive binaryzation, the accuracy of edge detection is improved, the measurement of the diameter of the steel wire rope is optimized through the SVM algorithm, and the precision, efficiency and repeatability of measurement and the generalization ability of the model are improved.

The invention belongs to the technical field of biomolecules, and particularly relates to an NIPBL gene for judging the sex of chickens and application of the NIPBL gene. The NIPBL gene has a segment with the difference of 606bp on chicken Z and W chromosomes, and is also a deletion segment on the W chromosome, the chicken sex can be quickly and effectively identified by detecting the sequence condition, the chicken with the deletion of the molecular marker sequence segment is a female individual, and the chicken without the deletion of the molecular marker sequence segment is a male individual; the invention further provides a specific primer, the chicken sex can be accurately judged through a PCR amplification technology and agarose gel electrophoresis, a strip is clear, the method is small in technical difficulty, easy and convenient to operate and high in accuracy, the sex of chicks or chickens difficult to distinguish in appearance can be effectively identified, the method has practical significance on identification of varieties small in male and female appearance difference, and the method is worthy of popularization and application. The method disclosed by the invention is strong in technical applicability and good in repeatability, can be used for accurately identifying the gender of the poultry, and has a wide application prospect.

The invention relates to a vehicle in-the-loop test method based on visual augmented reality. Firstly, a positioning and motion information acquisition system of a real vehicle is established, and high-precision motion information of the vehicle can be obtained; then image information and motion information of a vehicle-mounted camera are synchronously collected, and the purpose is to obtain camera output and vehicle motion information under the same timestamp; secondly, calculating the pose of the camera at each moment according to the internal participation initial external parameter information of the camera and the synchronously acquired motion information; synchronously inputting the calculated pose into simulation software, and obtaining virtual camera output consistent with the real camera in time and space; taking a really acquired camera image as a background, taking a traffic participant provided by a virtual simulation camera as a foreground, and obtaining fused image information of an augmented reality view angle through an image fusion algorithm; and finally, the fused image is input to the sensing layer, a sensing result is settled and then input to the decision control layer, a decision instruction is output to an execution mechanism of the vehicle, the vehicle motion information is changed and then is acquired by the high-precision information acquisition system, and thus a round of information circulation is completed.

The invention provides a primer probe combination for simultaneously detecting different serotypes of aviadenoviruses, a kit and application. The different serotypes of aviadenoviruses comprise C4 type, E8a type, E8b type and D11 type. Wherein the sequences of the primer probes for the C4 type fowl adenovirus are respectively shown as SEQ ID NO.1-3, the sequences of the primer probes for the E8a type fowl adenovirus are respectively shown as SEQ ID NO.4-6, the sequences of the primer probes for the E8b type fowl adenovirus are respectively shown as SEQ ID NO.4-5 and SEQ ID NO.7, and the sequences of the primer probes for the D11 type fowl adenovirus are respectively shown as SEQ ID NO.8-10. The kit can be used for quickly and accurately detecting multiple serotypes of the fowl adenovirus, and is high in specificity and good in repeatability. In addition, only about one hour is needed for completing one-time sample detection and result interpretation, and the detection cost can be controlled to be 1-3 yuan / sample.

The invention discloses a one-pot preparation method of semeglutide, and relates to the field of polypeptide synthesis. The preparation method comprises the following specific steps: 1) taking Arg34GLP-1 (9-37) as a starting material, controlling the pH value of a reaction solution, enabling activated dipeptide Fmoc-His-Aib-OH to react with the starting material to obtain an acylation reaction solution, and directly carrying out next-step reaction without aftertreatment after the reaction is finished; 2) adjusting the pH value of the acylation reaction liquid I, adding a compound 2-tetrapeptide into the acylation reaction liquid I, reacting to obtain acylation reaction liquid II, and directly carrying out next-step reaction without post-treatment after the reaction is finished; (3) adding an alkaline reagent to remove the Fmoc protecting group, settling, centrifuging and drying to obtain a crude product of the semeglutide; 4) separating and purifying the crude product to obtain a refined semeglutide product; the first three steps are carried out in the same reactor. Compared with a conventional liquid-phase synthesis method, the preparation method disclosed by the invention is simpler and more convenient, short in construction period, low in output of waste liquid and waste water, greatly reduced in cost, higher in yield and suitable for large-scale production.

The invention discloses a non-derivatization quantitative detection method for amino acid in a high-concentration protein preparation, which comprises the following steps: separating by using a graphitized carbon chromatographic column, adding an ion pair reagent trifluoroacetic acid into a mobile phase, and detecting by using an electric fog detector (CAD); the method comprises the following steps: preparing a plurality of groups of amino acid standard substance solutions with different concentration groups, wherein the concentration range is 1mmol / L-20mmol / L; drawing a quadratic equation standard curve of the amino acid standard product concentration and the peak area as a detection equation for detecting the amino acid concentration; the method comprises the following steps: diluting a test sample by using ultrapure water for multiple times, carrying out ultrafiltration centrifugal treatment, removing protein, introducing the sample, obtaining a corresponding peak area according to the spectrum integral of the test sample, and substituting the peak area into the detection equation to obtain the concentration of amino acid in the test sample. The method has the advantages of high detection precision, high detection efficiency and simple operation, and greatly reduces the adverse effect of high-concentration protein on the chromatographic column.