2027 results about "Sample preparation" patented technology

The invention relates to a solidified soil proportion and strength prediction method and system based on SEM image analysis, and belongs to the technical field of solidified soil strength testing. Comprising the following steps: S1, measuring physical indexes of disturbed soil; s2, multi-working-condition sample preparation and maintenance; s3, fractal dimension calculation of the SEM image is carried out; s4, unconfined compressive strength testing; s5, establishing a microstructure inversion model and a macroscopic strength prediction model; and S6, proportion optimization and strength prediction: utilizing the microstructure inversion model and the macroscopic strength prediction model to carry out solidified soil proportion optimization or strength prediction. According to the method, the quantitative relation between the microstructure (fractal dimension) and the macroscopic strength is established through SEM image analysis, the defects in the prior art are overcome, and a brand new technical path is provided for resource utilization of disturbed soil.

A diagnostic test device to perform a test on a biological or environmental sample is provided. In one aspect, the diagnostic test device includes a chamber configured to receive a fluid from a sample preparation reservoir at a first section of the chamber, and a plurality of spaced apart valleys along an inner surface of the at least one chamber. Each of the plurality of spaced apart valleys include a curved cross-section and is configured to promote flow of the fluid toward a second section of the at least one chamber.

The invention provides a TEM sample and a preparation method and application thereof.According to the preparation method of the TEM sample, on the premise that the hole structure of a semiconductor device is not affected, part of residual polymer accumulated and blocked in a hole opening in the semiconductor device is removed through reactive ion etching, so that the hole opening is expanded and not blocked any more; a protective colloid can enter a pore structure for filling and precursor material plating of atomic layer deposition is facilitated, the definition of the side wall of the pore is enhanced, and the quality and the final observation effect of the TEM sample are effectively improved; the equipment and technology adopted by the preparation method of the TEM sample provided by the invention are low in investment, and the operation process is simpler and faster than that of a Fab etching process; meanwhile, batch laboratory-scale sample treatment can also be realized; in addition, compared with a wet chemical corrosion cleaning technology for removing residual polymers, the problems of chemical reagent residues, chemical reactant pollution and the like at the bottom of the deep hole structure are avoided.

The invention provides an immunodetection method of a multi-index immune checkpoint detection kit, which belongs to the technical field of immunodetection and comprises three main stages of sample preparation, immune reaction and data analysis. The method comprises the following steps: firstly, carrying out centrifugal separation to obtain a plasma sample, and preparing a fluorescent microsphere coupled capture antibody and biotin labeled detection antibody compound; then carrying out immune reaction, forming a sandwich type immune complex through specific binding, and adding streptavidin marked by phycoerythrin for signal amplification. Detecting a fluorescence signal by adopting a flow cytometer to obtain an original data matrix; a contribution feature vector, a utility feature vector and an expression feature matrix are extracted through a feature decomposition algorithm, and a deep learning model of a total-score-total structure is established for data analysis. Finally, a detection report containing a quantitative result, an importance score and reliability evaluation is generated, and the technical problem that in the prior art, the analysis accuracy of a multi-index immune checkpoint detection result is insufficient is solved.

The invention relates to the technical field of food quality detection, in particular to a tea oil authenticity identification method based on an in-situ mass spectrum-machine learning coupling technology. Comprising the following steps: S1, preparing a sample; s2, acquiring mass spectrum data; s3, feature extraction: performing dynamic binning processing on the mass spectrum data, extracting feature peak information, and performing time dimension feature aggregation to form an initial feature matrix; s4, data preprocessing; s5, training a machine learning model; and S6, intelligent identification and visual output: inputting the mass spectrum original data of the tea oil sample to be detected into the trained multi-model integrated system, outputting an identification result through weighted voting or an optimal model strategy, and giving a confidence interval to quantify the reliability of the result.

The invention provides a rock mineral analysis test management method and system, and the method comprises the steps: collecting rock mineral sample multi-modal data, and constructing a digital twinborn model; constructing a geological knowledge map, and injecting and fusing the two knowledge to generate a virtual test data set; performing self-supervision pre-training by using the data set to obtain a self-adaptive mineral phase recognition model; deploying the model to a block chain-Internet of Things double-chain traceability system to obtain an identification result and an optimization instruction; and executing a sample preparation process and removing unqualified samples. According to the method, diffusion steps are adjusted through adaptive noise scheduling and a space-time alignment algorithm, data are integrated, a high-reality-sense virtual test data set is generated, and a self-supervised pre-training and knowledge distillation technology is combined, so that the model has space-time feature extraction and dynamic optimization capabilities; and finally, full-process closed-loop control is realized through a double-chain traceability system and a modular robot, and the recognition precision of a complex scene is improved.

The invention discloses a molten steel element content on-line detection system based on a laser-induced breakdown spectroscopy technology, and relates to the technical field of molten steel element content on-line detection, the molten steel element content on-line detection system comprises an excitation system, an acquisition system, a data preprocessing module and a component detection module; the excitation system is used for emitting laser to the molten steel surface to generate plasma; the acquisition system is used for collecting signal light radiated by the plasma; the data preprocessing module is used for carrying out baseline correction and noise reduction processing on the collected original spectral signals; and the component detection module comprises an element content prediction model based on a gating specific expert attention network LSEA-Net and is used for carrying out quantitative analysis on the preprocessed spectral data to obtain the element content of the molten steel. The technology has the advantages that sample preparation is not needed, online rapid analysis and multi-element synchronous detection are achieved, and the technology is suitable for the high-temperature environment and the like, and the requirement of a steelmaking site for real-time component detection is met very well.

The invention relates to a partition loading drilling gas extraction dynamic simulation experiment device and method, and belongs to the field of coal mine safety. The device comprises an experiment cylinder body, a loading device and an air supply device. A hole sealing section confining pressure pressurizing device, an extraction section confining pressure pressurizing device and an axial pressurizing device are arranged in the experiment cylinder body, and the influence of coal body elasticoplastic deformation on permeability is truly reflected by accurately distinguishing stress loading of a hole sealing section and stress loading of an extraction section; the method comprises the following steps: analyzing a stress state, formulating an experimental scheme, preparing an experimental sample, simulating a loading experiment and analyzing experimental data. By combining drilling construction simulation and negative pressure extraction testing, gas emission rules and leakage characteristics under different hole sealing materials, processes and extraction parameters are systematically analyzed. The technology can accurately test the gas emission rule and the air leakage characteristic of drill holes with different hole sealing processes and hole sealing parameters under negative pressure extraction, and provides a scientific basis for optimizing the gas extraction process and improving the extraction efficiency.

The invention discloses an in-situ TEM (Transmission Electron Microscope) device sample preparation method based on a suspended thinning and parallel carrying technology, which can be used for preparing in-situ TEM samples of semiconductor two-end devices and three-end devices, and mainly solves the problems of unstable ohm contact, nonuniform thinning, low success rate and high time cost in the prior art. According to the invention, an FIB sample preparation technology is adopted, and stable and reliable ohmic contact between a sample electrode and an MEMS chip electrode is ensured through specific-angle sample extraction, suspended thinning, parallel carrying, circuit breaking treatment and an accurate electrode welding process. According to the sample prepared by the invention, the failure state of a device can be observed in real time under a transmission electron microscope, the sample has the advantages of high sample preparation success rate, good repeatability, stable electrical parameters and wide applicable chip variety, and the reliability and repeatability of in-situ TEM test data are remarkably improved.

The invention provides a coal rapid sampling and sample preparation detection system and a rapid detection method thereof. The system comprises a sampling module, a feeding and premixing module, a crushing and continuous forming module, a detection belt, a rapid detection module, a shunting and collecting module and a data processing and control center which are connected in sequence, the core of the method is that a divider in a traditional sample preparation process is thoroughly abandoned, and an original coal sample is continuously processed into a compact and flat strip-shaped coal belt at one time by innovatively integrating crushing and high-pressure forming procedures, so that an ideal surface is provided for subsequent nondestructive testing. The method is based on the system, and full-process automation from large-capacity sampling, continuous forming, rapid detection to selective collection is achieved. By simplifying the structure, the cost and the failure rate are remarkably reduced, the flow bottleneck is eliminated, minute-level fast detection is achieved, the detection model is continuously optimized through the homologous sampling detection and feedback learning mechanism, and finally the problems that equipment is redundant, the speed is lagged and the precision is insufficient in the prior art are solved.

A method for processing a sample in a container includes introducing the sample to the container. A cap is applied to the container. The cap contains a plurality of beads. The plurality of beads is mixed with the sample. The plurality of beads is separated from the sample. Subsequent to removing the plurality of beads, a further process is initiated.

The food inspection sample preparation device comprises a base, a sample preparation cavity, an upper cover and a crushing assembly, the sample preparation cavity is a cylinder with an inner cavity, the top of the sample preparation cavity is open, the middle of the bottom end of the sample preparation cavity is provided with a conical discharging end with an opening gradually becoming smaller downwards, and the top end of the base is provided with an embedding groove which is of a circular structure and can allow the bottom end of the sample preparation cavity to be embedded and placed; the upper cover is arranged at the top end of the sample preparation cavity in a buckled mode, a motor is arranged in the upper cover, the output end of the motor is connected with a smashing assembly, and a plurality of airflow blowing-in openings are evenly formed in the side wall of the conical discharging end in the circumferential direction. The side wall of the embedded end is provided with communicating ports corresponding to the airflow blowing-in ports in position, an annular air duct communicated with the communicating ports is further arranged in the base, a fan is arranged in the base, and a drawer type powder collecting box is arranged on one side of the outer portion of the base. According to the crushing device, materials can be in full contact with the crushing assembly in the crushing process, and the crushing uniformity and the crushing efficiency are improved.

A system for automated extraction of biological samples from a set of biological samples has a small footprint and minimal movement of consumable sets, thereby reducing potential contamination during the extraction process. The extraction system includes a set of reaction tubes, a storage unit for storing a set of consumables, a sample preparation unit, a sample extraction unit, a waste unit, a plurality of robots for moving the tubes, samples, and cassettes, and a programmable control system programmed to process the samples in a serial mode in which a series of samples are processed sequentially in time one after another, thereby maintaining a continuous mode. Thus, a fixed processing turnaround time for each sample is maintained regardless of when the sample starts processing.

The present invention relates to a method for quickly identifying white vaseline from different manufacturers based on silver salt-assisted laser desorption ionization-time of flight mass spectrometry, and belongs to the field of detection. Specifically comprising the following steps: S1, exploring and optimizing metal salt ion conditions, matrix conditions, and sampling methods, and using the optimized experimental conditions for sample preparation; S2, measuring the sample; S3, using eMSTAT Solution software for data analysis to achieve identification of white vaseline from different manufacturers. The method of the present invention replaces traditional organic matrices with silver salts, eliminates background interference, and improves the mass spectrometry signal-to-noise ratio; combines a direct smearing method to avoid complex solvent preparation and extraction, and is easy to operate; applies a mass spectrometer for mass spectrometry acquisition, has accurate molecular weight, reduces the detection time of each sample to 6 seconds, has high analytical throughput, and is low in cost, thereby achieving high-throughput, accurate, and rapid identification of large quantities of white vaseline from different sources.

The invention discloses a soil organic matter determination method and system, and relates to the technical field of soil detection. The method comprises the steps of sample preparation, spectrum acquisition, data preprocessing, feature extraction, model establishment, humidity and temperature correction and sample determination. The method comprises the following steps: firstly, collecting a soil sample from a to-be-detected area and treating to ensure uniformity; then, a near infrared spectrometer is used for collecting spectral data, and preprocessing is carried out to extract feature information; thirdly, training and verifying an organic matter prediction model by using a Lucas soil public data set; meanwhile, collecting soil humidity and temperature information, and establishing a humidity / temperature correction model to correct a measurement result; and finally, inputting spectral data of a to-be-detected sample into the model to obtain the organic matter content. The system comprises a sample preparation device, a spectrum acquisition device, a data processing unit, a humidity and temperature measurement device and an output device, and is used for realizing the measurement method.

The invention discloses a coarse and fine particle inclusion photoelastic sample preparation and contact force chain network analysis method, and relates to the field of particle material mechanical tests, and the method comprises the following steps: calculating target void ratios under different coarse particle contents through a discrete element method; generating a corresponding numerical calculation sample according to the target void ratio and the preset coarse grain content, and exporting related parameters to prepare a coarse and fine grain inclusion photoelastic sample with the same initial compactness; in combination with non-polarization and polarized photoelastic images of the photoelastic sample, extracting intergranular contact force and constructing a contact force network; based on the contact force network, a strong contact force network is extracted and microscomic analysis is carried out, and force transmission characteristic comparison results under different coarse grain content conditions are obtained. According to the method, preparation efficiency of samples with different coarse grain contents and controllability of an initial state are realized, an influence rule of the coarse grain contents on a force chain structure and force transmission characteristics thereof is disclosed based on analysis of a contact force chain network, and the method is of great significance in researching a force transmission mechanism of a coarse and fine grain inclusion system and microstructure characteristics thereof.

The invention relates to a sample preparation method for coating thickness detection, which comprises the following steps: circularly heating and cooling a base material to obtain a weakly combined base material with a base material body and a coating locally separated; and forming a cut extending along the thickness direction of the coating in a local separation area of the coating of the weak combination base material to obtain a coating section sample vertical to the surface of the base material. Due to the difference of linear cutting expansion coefficients of a base material body and a coating, alternating thermal stress is initiated at the interface of the base material body and the coating through cyclic heating and cooling processes, so that the base material and the coating are controllably and locally separated, a weakly combined base material is obtained, and a cut extending in the thickness direction is prepared in the surface of the locally separated coating. A coating section sample perpendicular to the surface of the base material can be obtained through simple mechanical separation. The method can be used for efficiently preparing a coating sample with clear section and good integrity at low cost on the premise of not depending on expensive or high-damage equipment.

The invention provides a synchronous electrochemical test and hydrogen evolution test experimental device and method, and belongs to the field of metal corrosion research. The experimental device provided by the invention comprises a hydrogen evolution test module, an electrochemical test module and a control system module, and the control system module controls the hydrogen evolution test module and the electrochemical test module to work through circuit connection. By combining the hydrogen evolution test and the electrochemical test, the automatic accurate measurement of the hydrogen evolution amount in the metal corrosion process can be realized, the measurement of the corrosion rate, the corrosion potential and the charge transfer amount in the oxidation-reduction reaction can also be realized, and the problems of poor sustainability and low precision of the traditional hydrogen evolution test method are avoided; the hydrogen evolution test data and the electrochemical test data are automatically obtained while one-time sample preparation is realized.

The invention belongs to the technical field of nuclear magnetic resonance detection, and particularly relates to a method for detecting fluorine ions in an ion exchange membrane and application of the method. The method comprises the following steps: (1) soaking an ion exchange membrane to prepare a sample, winding the sample on a bar, and loading the sample into the bottom of a nuclear magnetic tube in a screw-in manner; the shape of the sample is a polygon, the polygon has a symmetrical structure, and the number of edges is not less than 4; (2) putting the nuclear magnetic tube prepared in the step (1) into a nuclear magnetic resonance spectrometer, selecting a pulse sequence, tuning, shimming, adjusting nuclear magnetic resonance test parameters, and collecting signals; the nuclear magnetic resonance test parameters comprise: 90-degree pulse width is 9-15 [mu] s; and the power is 20-55W. The pulse width of a nuclear magnetic sample obtained by adopting a specific sample preparation method at 90 degrees is 9-15 microseconds; under the power of 20-55W, < 19 > F in a bulk phase of the ion exchange membrane can be detected, and a powerful support is provided for detecting and analyzing structural information in the bulk phase of the ion exchange membrane.

The invention relates to a fatigue limit rapid prediction method based on infrared thermal image energy dissipation characteristics. The method comprises the steps of sample preparation and pretreatment, fatigue loading stress level upper limit determination, infrared fatigue test and temperature rise data acquisition, thermal image data processing and temperature rise feature extraction, energy dissipation model construction, fatigue limit value prediction, error analysis and method verification. The method comprises the following steps: monitoring steady-state temperature rise rates under different stresses through a thermal infrared imager, establishing a relation curve between a dissipation rate and a stress amplitude, predicting a fatigue limit based on a least square method, and comparing the fatigue limit with an S-N test result for verification. Compared with a traditional method, the method has the advantages of high prediction precision, high response sensitivity, low loss, short test period and the like, and is particularly suitable for rapid fatigue limit prediction and strengthening effect judgment of the high-temperature alloy material subjected to laser-assisted ultrasonic rolling strengthening.

The invention discloses a test method for simulating rock hydraulic fracturing in a true triaxial stress state, and relates to the technical field of hydraulic fracturing, the test method comprises the following steps: S1, a sample preparation stage: processing a rock block into a standard square rock sample, and processing a plurality of hydraulic fracturing holes according to a test target size; s2, a sample mounting stage; s3, an equipment inspection stage; s4, a pre-load applying stage; s5, a hydraulic pressure applying stage of the hydraulic fracturing model: injecting hydraulic fracturing fluid with different flow rates into the hydraulic fracturing holes at different flow rates by utilizing a constant-flow constant-pressure pump through the hydraulic fracturing hydraulic pressure applying pipeline, and recording data and closing the constant-flow constant-pressure pump after the square rock sample is damaged; s6, an unloading stage; and S7, ending the test. According to the invention, a single hydraulic fracturing hole or a plurality of hydraulic fracturing holes are processed on a square rock sample to simulate single well and multi-well model samples, and different hydraulic pressurization tests are realized, so that the qualitative analysis of the reservoir rock crack evolution law under the true triaxial stress condition is completed.

A diagnostic test device to perform a test on a biological or environmental sample is provided. In one aspect, the diagnostic test device includes a chamber configured to receive a fluid from a sample preparation reservoir at a first section of the chamber, and one or more capillary grooves along an inner surface of the chamber. The capillary grooves are configured to promote flow of the fluid toward a second section of the chamber. Embodiments of the diagnostic test reservoir can increase an amount of sample available to an assay reaction, which in one example embodiment occurs within a volume of fluid in the second section of the chamber.

An automatic sample preparation system comprises a consumable storage module, a liquid drop generation module, a biochemical reaction module, a quantification module and a scheduling transfer module, and the consumable storage module is used for storing consumables; the droplet generation module is used for generating micro-droplets containing biological samples; the biochemical reaction module comprises a plurality of biochemical reaction devices, and each biochemical reaction device is used for executing one or more sub-processes in gene sequencing sample preparation; the quantification module is used for quantitatively detecting the concentration of a product sample obtained in the sample preparation process; the dispatching and transferring module is used for grabbing and transferring the consumables and the samples and moving among all the positions along a preset path to complete transferring of the consumables and / or liquid. According to the automatic sample preparation system provided by the invention, a one-button single cell automatic sample preparation process is realized, a library sample for gene sequencing can be output after the sample is input, human intervention is reduced, manual operation errors are reduced, manpower is saved, the cost is reduced, and the result is more accurate and reliable.

The invention relates to the technical field of meat quality detection, and discloses a fresh beef quality analysis system suitable for a beef jerky processing factory, which comprises a data acquisition module, a quality analysis module, a central control module, an early warning feedback module and a tracing linkage module, a sensor unit, a sample processing unit and a data preprocessing unit are integrated through a data acquisition module, and multiple physical, chemical and biological index data such as color, texture and pH value of fresh beef are acquired in real time in a non-intrusive manner by adopting a multi-source sensing technology, so that the comprehensiveness and reliability of quality analysis input are ensured; meanwhile, sample preparation and positioning are standardized through the sample processing unit, actual storage conditions of a processing plant are simulated, and the accuracy of data acquisition is improved; and a threshold value alarm unit of the early warning feedback module automatically triggers multi-level alarm according to a quality analysis result, so that real-time early warning and graded response of quality abnormal conditions are realized.

The invention discloses a preparation method of a transmission electron microscope sample of a sintered neodymium-iron-boron block material, which comprises the following steps of block sample cutting, mechanical grinding, sample punching, ring sticking, pre-thinning and final thinning, so that the transmission electron microscope sample to be observed is obtained. In addition, the method is simple, feasible, economical and practical, and the sample preparation success rate can be remarkably increased.

The invention provides a method for detecting fluorine compounds in shrimps, which comprises the following steps: S1, sample preparation: removing shells of to-be-detected shrimps, and crushing and homogenizing muscular tissues of the to-be-detected shrimps to obtain a to-be-detected sample; s2, extraction: extracting a sample to be detected, retaining an organic phase, and concentrating to obtain a concentrated solution; then adding water which is 5-15 times of the concentrated solution for dilution to obtain a to-be-purified solution; the extraction solvent is an aqueous solution of an organic solvent; s3, purification: purifying the to-be-purified liquid by using a solid-phase extraction column to obtain a purified liquid; s4, concentration and constant volume: concentrating the purified liquid to be nearly dry, redissolving, and filtering to obtain filtrate; and S5, sample detection: detecting the filtrate by using a liquid chromatograph-mass spectrometer, and carrying out qualitative and quantitative analysis on the fluorine compounds in the prawns by adopting a standard curve method. The method can be used for simultaneously determining the contents of 41 PFASs compounds with different physicochemical properties in shrimps.

The invention discloses a method for testing heat treatment residual stress of a bearing ring based on nanoindentation, and belongs to the technical field of stress testing. The method comprises the following steps: establishing a calibration curve, preparing and testing a sample, and calculating residual stress. According to the method, the indentation work-residual stress quantitative calibration curve for the bearing steel is established through finite element simulation, the specific constitutive relation of materials is fully considered in the model, and system errors caused by mismatching of material parameters of a general model are eliminated. The change trend of the residual stress value calculated by the method is consistent with that of a prediction result of finite element analysis, and it is proved that the method can accurately, reliably and quantitatively characterize the residual stress distributed in the microscale after heat treatment.

The invention discloses an off-line carbonate cluster isotope sample preparation system and preparation method, the system adopts a main controller and a plurality of sub-controllers to work cooperatively, parameters such as temperature, pressure, gas flow direction and the like are accurately controlled, and the stability and repeatability of sample preparation are ensured; an SPR gas sensor and a fluorescent gas sensor are arranged, CO2 concentration and pressure changes are monitored in real time, accurate data support is provided for a main control machine, and dynamic adjustment and optimization are achieved; a multi-stage cold trap design is adopted, and liquid nitrogen and a methanol-liquid nitrogen mixture are combined for cooling, so that impurity gas is effectively separated, and high purity of final CO2 gas is ensured; the system adopts a modular design, is simple and convenient to operate, is easy to maintain and upgrade, and has good expansibility and universality.

The invention discloses a system and a method for rapidly detecting trace active ingredients of a medicine, belongs to the technical field of medicine detection, and relates to cross application of surface enhanced Raman spectroscopy and artificial intelligence. The system comprises a sample preparation module, a micro-fluidic enrichment module, a Raman spectrum acquisition module, a self-adaptive spectrum analysis module, a multi-component identification module and an intelligent report generation module, and efficient enrichment and nanogram-level detection of drug molecules are realized through an enhanced surface Raman scattering micro-fluidic chip. Intelligent identification and accurate quantification of complex spectral characteristics are realized by adopting a deep learning algorithm and a self-adaptive weight calculation method, synchronous detection of 5-10 active pharmaceutical ingredients is supported, the detection sensitivity reaches nanogram / milliliter level, the quantification error is less than 5%, the detection time of the whole process is 5-10 minutes, and the detection accuracy is high. The sensitivity, the accuracy and the efficiency of medicine quality detection are obviously improved.

The invention discloses a method for measuring the oxidation rate of silver ore, and relates to the technical field of mineral processing and process mineralogy analysis. The determination method comprises the following steps: preparing and segmenting a sample; silver grade calibration and reselection enrichment are carried out, and products with different mineralogical characteristics are obtained; carrying out automatic mineralogical analysis to obtain the type, content and dissemination characteristics of silver minerals; chemical leaching correction coefficient determination, wherein phase state distribution of silver is obtained through stepped chemical leaching, and the correction coefficient is calculated; determining a gangue wrapping correction coefficient, analyzing the silver content of the residue and calculating the correction coefficient; and finally, calculating the silver ore oxidation rate based on the automatic mineralogy analysis data and the correction coefficient. According to the method, through multi-technology fusion and data correction, the accuracy and reliability of measurement of the oxidation rate of the silver ore with low silver mineral content and uneven distribution are remarkably improved, and accurate data support is provided for formulation of a mineral separation process.