22127results about "Preparing sample for investigation" patented technology

Provided herein are methods for analyzing a biological sample that include contacting the biological sample with a non-conductive substrate; and contacting a matrix to a surface of the biological sample. Further methods optionally include performing mass spectrometry analysis; determining presence of a first analyte in the biological sample; and / or analyzing a second analyte on the surface of the biological sample to determine presence of the first and the second analyte in the biological sample.

The invention discloses a columnar transparent part defect detection method, and relates to the technical field of optical detection and machine vision, and the detection method comprises a detection preparation stage, a detection pose configuration stage, a structured light stripe excitation stage, a machine vision detection stage, a model optimization evaluation stage, and a detection post-processing stage. According to the defect detection method for the columnar transparent part, the comprehensive performance of defect detection of the columnar transparent part is remarkably improved through the synergistic effect of coaxial pose optimization, composite structure light source design and improved YOLOv8 deep learning model; various common surface and subsurface defects in production are covered; the real-time detection requirement of an industrial production line is met through relative movement of the part and the light source and high-speed image acquisition and processing; the system has strong anti-interference capability, and can adapt to detection scenes of different materials, sizes and environmental conditions.

The invention relates to the field of performance testing of road engineering materials, and discloses an emulsified asphalt in-situ cold-recycled mixture high-temperature creep test method which comprises the following steps: preparing a test piece: presetting an old material-emulsified asphalt standard test piece, and embedding a moisture regulation and control device to generate a controllable gradient; multi-field loading: coupling an unsteady-state temperature field, a moisture gradient field and a time-varying attenuation stress field to construct a composite loading environment; synchronously aligning data: synchronously acquiring macro strain and micropore data, and realizing cross-scale alignment through a space-time matrix; performing parameter inversion: inverting nonlinear constitutive parameters by combining macro and micro data, and constraining a solution space by using a thermodynamic equation; and intelligent termination output: triggering a termination mechanism based on a multi-dimensional criterion and outputting damage evolution data. Through multi-field coupling loading, cross-scale data fusion and intelligent criterion cooperation, the problems of traditional test environment distortion, parameter deviation and criterion lag are solved, and accurate analysis of the high-temperature creep behavior of the emulsified asphalt reclaimed material and reliable prediction of the performance degradation law are achieved.

The invention provides a method and system for detecting the content of platinum, palladium and rhodium in an automobile exhaust purification catalyst and application, and relates to the technical field of automobile exhaust purification, the method comprises the following steps: crushing, grinding, sieving, performing microwave acidolysis, neutralizing, washing and drying a catalyst sample to obtain dry filter residues; a trapping agent and a fluxing agent are added into the dry filter residues, constant-temperature heating is conducted in inert gas, then cooling forming is conducted, and an alloy button is obtained; blowing ash on the alloy, then adding mixed acid into the alloy, heating the alloy in a water bath at 95 DEG C for 25-35 minutes to obtain a dissolved solution, then adding a masking agent into the dissolved solution, and oscillating to obtain a solution to be detected; and filtering the liquid to be detected, fixing the volume and detecting. According to the method, precise quantification of trace platinum, palladium and rhodium in the complex matrix catalyst can be realized, and the method has a relatively high recovery rate; meanwhile, pollution elements are prevented from being used, and the method is green and efficient and better conforms to the concept of green chemistry.

The invention provides a method for detecting the porosity of ores in a dump leaching process, and belongs to the technical field of detection of the porosity of the ores. The method comprises the following steps: taking a dump leaching ore body, screening, uniformly mixing, splitting, putting into a dump leaching column to obtain the volume of a sample subjected to splitting in the dump leaching column, then performing fine grinding, putting into the dump leaching column to obtain the volume of the sample subjected to fine grinding in the dump leaching column, and then performing image analysis on the sample subjected to fine grinding to obtain the pore volume among sample particles subjected to fine grinding. And finally, converting the three volumes to obtain the porosity of the heap-leached ore. Through screening treatment, the sample representativeness is effectively improved; the ore before superfine grinding and after superfine grinding is introduced into a dump leaching column, the sampling uniformity is controlled, and the accuracy and stability of data are improved through the in-pile process under the same test column; an image analysis algorithm is introduced, and meanwhile, a correction coefficient is introduced, so that small pores among particles are precisely measured and calculated. The method is simple in process and convenient to operate, and the ore porosity can be rapidly and accurately measured and calculated.

The invention provides a coal impact tendency evaluation method which comprises the following steps: sampling a coal rock material on an engineering site, and processing the sample into a coal rock test piece with a preset size and a preset shape; carrying out a uniaxial compression experiment on the coal rock test piece, and recording a motion image of an ejection body on the coal rock test piece in the loading process of the coal rock test piece; comparing cosine similarities among the plurality of images in the moving images, and determining the image with the maximum damage degree according to the cosine similarities; analyzing gray level distribution of the image with the maximum damage degree to obtain a gray level histogram; identifying particle information of the broken particles in the image with the maximum damage degree; representing the damage degree of the coal rock material by using the particle information of the crushed particles; and evaluating the coal impact tendency by using the damage degree of the coal rock material. According to the evaluation method for the coal impact tendency disclosed by the invention, a new coal impact tendency evaluation index is provided, the research on the damage process of the coal rock material is perfected, and basic parameters are provided for subsequent early warning of damage of the coal rock material.

The invention discloses a standard volume-based mass spectrum signal calibration system and method, and belongs to the field of measurement, the standard volume-based mass spectrum signal calibration system comprises a standard flow generation system and a mass spectrum detection system.The standard flow generation system comprises a standard tank, a first valve, a fifth valve and a micro-leakage valve which are sequentially connected through a gas pipeline; a gas inlet pipeline, a film gauge and a first molecular pump set are connected to a gas pipeline connecting the first valve and the fifth valve in parallel, a second valve is installed on the gas inlet pipeline, and a fourth valve is installed at an inlet of the first molecular pump set. The mass spectrometry detection system comprises a vacuum chamber communicated with the micro-leakage valve through a gas pipeline, a mass spectrometer, a second molecular pump set and a full-scale gauge are connected to the vacuum chamber, and a gate valve is installed at an inlet of the second molecular pump set. The gas release rate can be calculated and continuously adjusted on the premise that a leak hole is not needed, and the problems that in the prior art, a standard leak hole is limited in application range, low-flux measurement is inaccurate, the nominal leak rate is prone to drifting, and cost is high are solved.

Systems and methods are provided for targeting one or more features in a region of interest, and efficiently removing the features from an array of features. The systems and methods can remove one or more beads that contain analytes, intermediate agents, or a combination thereof, from the region of interest of a substrate by emitting light toward the beads on the substrate.

The invention discloses a cement stabilized macadam mechanical property analysis method based on maximum aggregate nominal particle size, and relates to the technical field of cement stabilized macadam mechanical property analysis, the method comprises the following steps: preparing skeleton dense type cement stabilized macadam test pieces with different nominal maximum particle sizes; carrying out a macroscopic mechanical test to obtain a stress-strain curve and a crushing value; establishing a three-dimensional discrete element numerical model corresponding to the test piece, performing uniaxial compression simulation, and ensuring the reliability through model verification; and based on the verified model, quantitatively analyzing the contact force distribution, the contact quantity characteristic and the microcrack evolution law from the microscopic level. According to the analysis method disclosed by the invention, a mechanism that the nominal maximum particle size improves the macroscopic performance of the material by regulating and controlling an internal force chain network and inhibiting damage accumulation is disclosed through a macro-micro combination means, and a scientific micro-mechanical basis and a quantitative analysis tool are provided for grading optimization and high-performance design of the cement stabilized macadam base.

The invention belongs to the field of atmospheric environment particulate matter monitoring, and particularly relates to an atmospheric environment salt mist concentration real-time monitoring device and method. The monitoring device comprises a computer control module, a container and a buoy, a conductivity electrode, a temperature sensor, a displacement sensor, an air inlet pipe and an air outlet pipe are integrated on the top of the container, and the air outlet pipe is connected with a reciprocating cylinder with a piston and a limit switch. The monitoring method comprises the following steps: calibrating the initial volume V < initial > of liquid and the volume V < initial > of a reciprocating cylinder; circularly collecting the conductivity k0 and k1, the temperature T0 and T1 and the displacement D and Dtotal of the buoy before and after ventilation; correcting the salt mass increment delta M through the dynamic volume, and finally outputting the salt mist concentration C; according to the invention, the defects of inaccurate ventilation volume metering, solution density change and interference of moisture in high-humidity air on concentration monitoring in the prior art are overcome, full-automatic continuous monitoring of the salt mist concentration is realized, the measurement error is effectively reduced, the measurement precision and the monitoring capability are remarkably improved, and the method has relatively good environmental adaptability.

The invention provides a sample pretreatment automation method for flow cytometry, and belongs to the technical field of sample pretreatment for flow cytometry. A biological sample to be detected is collected and placed in a collection tube containing an EDTA-K2 anticoagulant for pretreatment; an automatic pipetting system is used for carrying out incubation reaction on an anticoagulant whole blood sample and an intelligent matching fluorescence labeling antibody mixed solution, and a double-layer game optimization verification system is used for verifying the rationality of an antibody adding proportion and reaction condition parameters; carrying out fluorescence characteristic readability index prediction on the incubated cell suspension by adopting an intelligent dilution parameter regulator model, dynamically adjusting hemolysis parameters and suspension conditions, and adding 1 * hemolysin working solution by using an automatic liquid adding device to carry out hemolysis treatment so as to finish pretreatment; the technical problems that in the pretreatment process of flow cytometry detection samples, parameters are often based on artificial experience, and the reproducibility and standardization degree of detection results are insufficient are solved.

The invention provides a visual rock filling fracture seepage monitoring method. The visual rock filling fracture seepage monitoring method comprises the following steps: preparing a transparent rock filling fracture model based on real fracture morphology and filling treatment; a mixture which is used for simulating the underground water environment and contains tracer particles is injected into the filling fracture of the model, seepage is conducted, in the seepage process, an image I1 and an image I2 are continuously collected, the flow velocity field of the filling fracture is monitored for the image I1 through a PIV method, and the dissolution condition of filler and the corresponding filling fracture opening change condition are monitored for the image I2 through a DIC method; and identifying an eddy current area in the filling crack by the image I2, and calculating the overflowing capability of the filling crack according to the flow of the waste liquid discharged by the model. According to the method, disturbance to a natural structure in the fracture is avoided, dynamic monitoring of fluid in the fracture can be achieved, data support is provided for research on seepage field change in the dynamic fracture, and research on the relation between fracture geometric heterogeneity and seepage field characteristics is facilitated.

A substrate holder includes a base configured to receive a substrate; a cover configured to mateably engage with the base, the cover defining an opening formed by inner sidewalls; and a removable insert defining a surface, the removable insert being configured to be received within the opening of the cover. The removable insert includes a gasket; a projection coupled to the gasket; and at least two insert tabs extending from opposite sides of the removable insert, each insert tab being configured to engage with at least one of the inner sidewalls forming the opening of the cover.

The present disclosure relates to compositions and methods for reversible fixation of biological samples using fixation reagents that form bis-carbamate crosslinks between amine-bearing moieties in biomolecules.

The invention relates to a soil detection system and a detection method. Soil detection equipment comprises a sampling module, a positioning module for generating original point sampling coordinates, a sample treatment module for chemical, electrochemical and biological treatment means, a detection module, a detection database, a detection control module, a generating and sending module and a sending and receiving module. The detection method comprises the steps of sampling and processing, binding coordinates, comparing abnormal data through preliminary detection, generating a pollution map, carrying out secondary detection on abnormal data, calculating a spatial uncertainty index, dynamically generating a near-origin secondary sampling coordinate, circularly sampling and detecting until the index reaches the standard or the density upper limit, and finally generating the pollution map and a prediction model. And the detection database is updated and optimized through machine learning.

The invention relates to the technical field of asphalt performance analysis, in particular to a method for detecting and analyzing physical properties of polymer modified asphalt. According to the invention, the collected asphalt sample is subjected to pretreatment means of vacuum degassing, multi-angle image bubble monitoring and constant-speed stirring, the uniformity of the asphalt sample is judged according to physical state parameters at different positions, the reliability of subsequent detection data is further improved, and a plurality of uniformly-divided target asphalt samples are respectively placed in the constant-temperature containers; the method comprises the following steps: recording the heat conduction temperature of each target asphalt sample at different monitoring points in a constant-temperature water bath in real time, carrying out penetration detection on each target asphalt sample after the sample reaches heat balance, carrying out penetration index analysis according to the incidence relation between the temperature and the penetration, and evaluating the physical properties of the polymer modified asphalt based on the penetration index. The penetration data under different temperature gradients can be accurately obtained, the physical properties of the polymer modified asphalt can be comprehensively and accurately evaluated, and a reliable basis is provided for engineering quality control.

Apparatuses and methods for recovering solid tissue and dislodged cells (“D-cells”) from a biopsy are disclosed herein. In an embodiment, a biopsy container apparatus for recovering solid tissue and D-cells from a biopsy includes a receiving container and a sieve container. The receiving container has a receiving chamber with an upper opening and a watertight bottom surface. The sieve container is configured to be located at least partially within the receiving chamber and removed from the receiving chamber through the upper opening. The sieve container has a bottom sieve surface including a plurality of apertures configured to pass the D-cells from the biopsy but not the solid tissue from the biopsy into the receiving chamber after the solid tissue and the D-cells from the biopsy are placed into the sieve container.

Disclosed herein, inter alia, are devices and methods for efficient transfer and analyses of cellular material, tissue samples, such as tissue sections, using carrier substrates and devices.

The invention relates to the related technical field of dust detection, and provides a mining induced charge and light scattering fusion dust detection device and method.The dust detection device comprises a workbench, a sampling assembly and a detection assembly, and the sampling assembly comprises a sampling air pump, a conical airflow homogenizer and a closed sampling cavity; the detection assembly comprises an annular sliding rail, a light scattering detection module and an electrostatic induction detection module; the dust detection method comprises the following steps: S1, device initialization and zero calibration; s2, sampling preparation of dust-containing airflow; s3, dual-module synchronous signal acquisition; s4, data processing and temperature and humidity compensation; s5, carrying out anti-interference protection assembly; and S6, data fusion and result output. S7, device cleaning and standby; through cooperative work of the double detection modules, dust detection signals in different concentration intervals are accurately captured, wide-range coverage from low concentration to high concentration is achieved, and synchronous monitoring of dust concentration and particle size characteristics is achieved.

The invention discloses a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment system and a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment method. The system comprises a gas-liquid mixed injection system, a Kr adsorption system, a visual triaxial core holder system, a CT scanning system and a tail gas analysis and treatment system. According to the experimental method, Kr similar to CH4 in dynamic diameter and other parameters is selected as a CT tracer to replace CH4, and 4D visualization of coal body internal pore and fracture structure evolution and Kr concentration field displacement migration process can be realized through three-dimensional reconstruction of CT images at different displacement moments and registration, gray correction and normalized concentration calculation of the images. The problem that the gas migration rule in the coal body in the displacement experiment is not clear is solved; the dynamic diffusion process inversion of the coal bed gas in the coal bed difficult to extract is realized by utilizing the distribution characteristic evolution of the Kr gas in the coal body, so that the in-situ coal body fissure structure in the coal sample and the dynamic migration law of methane in the displacement process are obtained, and the method has great significance for revealing the displacement development mechanism of unconventional natural gas such as the coal bed gas.

The invention discloses detection equipment for appearance defect detection of a new material lens, and relates to the field of lens detection.The detection equipment comprises a detection box, a lens conveyor used for conveying a lens body is installed on the detection box, and a first mechanical arm used for transferring the lens body to a transfer mechanism is arranged on the rear side of the lens conveyor; the left side of the transfer mechanism is provided with a second manipulator used for transferring the lens body on the transfer mechanism to the non-defective product conveyor and the defective product conveyor, and the second manipulator, the non-defective product conveyor and the defective product conveyor are all installed on the detection box. According to the detection equipment for appearance defect detection of the new material lens, through cooperative cooperation of the transfer mechanism and the cleaning mechanism, a lens body can rotate in the cleaning mechanism in the transfer process, dust and impurities attached to the outer surface are effectively removed through dynamic friction or the airflow effect, and the problem that pollutants are left in a traditional static cleaning mode is solved; therefore, the accuracy of subsequent appearance defect detection is obviously improved.

Provided herein are methods of determining a location or presence of a target analyte in a biological sample by detecting oligonucleotide-conjugated binding agents.

The invention relates to the technical field of conveying detection, and provides an industrial vision-based raw material conveying device for preparing an alkali-activated cementing material from pulverized coal ash, which comprises a conveying mechanism, a material distributing mechanism is fixedly mounted on the right side of the upper end of the conveying mechanism, and a controller is arranged on the left side of the material distributing mechanism; a scattering mechanism is fixedly mounted in the middle of the upper end of the conveying mechanism, a visual detection mechanism is fixedly connected to the middle of the scattering mechanism, and an impurity removal mechanism is fixedly mounted on the left side of the middle of the upper end of the conveying mechanism. Pulverized coal ash is scraped through the scraping mechanism, blocked cakes and impurities on the lower layer of the pulverized coal ash are scraped out, the cakes and the impurities in the pulverized coal ash can be recognized by the visual detection mechanism, the cakes are synchronously extruded, crushed and cut up through the scraping mechanism in the pulverized coal ash scraping process, no obvious cake residues exist in the pulverized coal ash, and the coal ash scraping efficiency is improved. Meanwhile, the cutter stirs the pulverized coal ash, so that impurities on the lower layer are easy to turn out, and the purity of raw materials is guaranteed.

The invention discloses ultrasonic gas concentration detection equipment, and relates to the technical field of gas concentration detection equipment. The transducer assembly comprises a piezoelectric unit and a metal coupling layer, the piezoelectric unit generates mechanical vibration by receiving electric signals, and the metal coupling layer is attached to the surface of the piezoelectric unit to transmit vibration to the gas medium in the cavity so as to generate ultrasonic waves; the converter assembly comprises a transmitting end and a receiving end, the transmitting end is connected with the metal coupling layer to transmit ultrasonic waves, and the receiving end receives the ultrasonic waves penetrating through the gas and converts the ultrasonic waves into electric signals; the disturbance part is suspended in the detection cavity, and the projection of the disturbance part covers an air flow path of the air inlet; the piezoelectric unit drives the disturbance part to generate first vibration in a plane of a non-parallel airflow direction, and the disturbance part generates second vibration which is non-collinear with the first vibration direction under the action of inlet airflow, so that multidirectional composite disturbance is formed, the gas concentration gradient in the cavity is broken, and the mixing uniformity is improved.

The invention discloses a smelting wastewater trace arsenic real-time monitoring method based on an electrochemical sensing array, and relates to the technical field of electrochemical detection.The method comprises the steps that bypass sample flow is established through a peristaltic pump and pre-filtered, and stable sample flow is obtained; the sample flow is divided into a first passage and a second passage, and a form distinguishing sample flow is obtained after oxidation setting and medium equalization; performing short-time adsorption equilibrium to obtain an interface state parameter set, executing multi-segment coded deposition control based on the parameter set, and collecting a dissolution current curve; a dissolution signal set is obtained by applying single-frequency perturbation signals, characteristic peak parameters are extracted and subjected to correlation calculation with a multi-section response matrix, the total arsenic concentration and the pentavalent arsenic concentration are calculated through a weighted inversion algorithm, and a confidence interval is obtained; and calculating the concentration of the trivalent arsenic and determining an uncertainty range according to the two. According to the method, the quality judgment result is linked with the dynamic adjustment of the sampling flow, the potential amplitude and the deposition duration, so that the self-adaptive optimization control of the detection process is realized.

The invention discloses a chicken manure crude protein content detection model construction method, a chicken manure crude protein content detection system and a detection method, relates to the technical field of bioinformatics, solves the problems of high cost, serious pollution and low efficiency of an existing chicken manure crude protein content detection technology, and improves the accuracy of chicken manure resource application. The obtained sample set comprises visible-near infrared reflection spectrum and crude protein content of the chicken manure; carrying out pretreatment on the visible-near infrared reflection spectrum by adopting a plurality of pretreatment methods; screening out an optimal preprocessing method and a corresponding preprocessing spectrum by using a partial least square regression model; obtaining a characteristic wave band by using a plurality of characteristic selection methods; and based on the crude protein content and the characteristic wave band, constructing and screening an optimal chicken manure crude protein content detection model. The method provided by the invention is suitable for detecting the content of crude proteins in chicken manure by using manure resources.

A micron-sized speckle preparation method for quasi-in-situ OIM-DIC mesoscopic strain field analysis comprises the following steps: (1) polishing the surface of a sample to be detected to obtain a bright and scratch-free mirror surface; (2) preparing Si powder turbid liquid; (3) dipping speckles of a sample to be detected in the Si powder turbid liquid to obtain micron-sized speckles; and (4) observing and shooting speckle morphology, and if Si particles are uniformly distributed and dispersed, applying the Si particles to quasi-in-situ OIM-DIC mesoscopic strain field analysis. The method is simple, convenient and rapid, low in operation and construction cost, high in practicability, good in particle dispersity, high in precision, more suitable for calculation of a quasi-in-situ OIM-DIC mesoscopic strain field, controllable in preparation process, low in cost and free of damage to the surface of a sample, the definition and stability of speckle characteristics are remarkably improved, DIC mesoscopic micron-scale operation under a quasi-in-situ OIM mechanical test can be effectively achieved, and the method is suitable for large-scale industrial production. And the grain and mesoscopic strain field information is successfully coupled.