187results about How to "Reduce experiment cost" patented technology

The invention provides a residual stress prediction method considering ultrasonic peening process parameters of a welded joint, and the method specifically comprises the following steps: carrying out thermal-mechanical coupling simulation of a welded structure based on a finite element method, obtaining a residual stress field of the welded structure, taking the residual stress field as initial stress, and building an ultrasonic peening processing finite element model; on the basis of a hypercube Latin sampling method, a parameter combination sample is extracted, corresponding residual stress data after ultrasonic peening are obtained through simulation, and a residual stress prediction function model containing an undetermined coefficient is established with ultrasonic peening parameters as independent variables. And based on a particle swarm optimization algorithm, training to obtain an undetermined coefficient value which enables a prediction effect to be optimal, and completing establishment of a prediction function model. Therefore, the optimal process parameter combination of ultrasonic peening can be obtained so as to improve the mechanical property of a welded joint. According to the residual stress prediction method considering the ultrasonic impact process parameters of the welding joint, a basis is provided for improving the service performance of a large-scale thin-wall part welding structure.

The invention discloses a full-automatic intelligent multifunctional high-order nonlinear fluorescence dynamics testing method and device, and relates to the field of nonlinear optics and nano photonics. An optical testing device composed of an exciting light generation module, an automatic power regulation module, an exciting light modulation module, a sample scanning module, a data acquisition and analysis module and an intelligent control module is established, and under the excitation of incident laser, based on the overall coordination of the intelligent control module, the optical testing device is established. Other modules are driven to complete the dynamic response test of a nonlinear fluorescence sample, and full-automatic intelligent, multifunctional, high-precision, simple, efficient, low-cost and universal fluorescence dynamic test analysis is realized. The problems that traditional manual operation wastes time and labor and the testing precision is low are solved. In addition, the multifunctional integration of the fluorescence response curve, the fluorescence rise time, the fluorescence lifetime and the fluorescence imaging effectively improves the test efficiency and the application scene, and greatly reduces the system cost.

The invention provides a temperature damage detection method based on an optimized vacuum sintering furnace and a temperature measuring device, and belongs to the related field of heat transfer science, and the method comprises the following steps: optimizing a vacuum sintering furnace structure by adopting different thermal insulation structures, and deducing a one-dimensional performance simulation model of a carbon felt thermal insulation layer; according to the one-dimensional performance simulation model of the carbon felt thermal insulation layer, the temperature rise curve and the workpiece temperature, the value range of the thickness of the carbon felt thermal insulation layer at different sintering temperatures is calculated by utilizing a reverse simulation principle, and then the optimal thickness of the carbon felt thermal insulation layer is obtained in the value range of the thickness of the carbon felt thermal insulation layer at different sintering temperatures by utilizing forward simulation; and the optimal thickness of the carbon felt heat preservation layer is adopted as the length of the temperature measuring device, the temperature measuring device of the vacuum sintering furnace is constructed, the temperature of the vacuum sintering furnace is measured through the multiple temperature measuring devices, and a temperature damage detection result is obtained according to the measurement result. According to the method, the problem that the temperature in the effective heating area after structure optimization cannot be directly measured due to too high temperature is solved.

The invention discloses a GIS equipment electromechanical state and typical defect simulation test platform and a GIS equipment electromechanical state and typical defect simulation test method, relates to the field of electrical equipment electromechanical state and typical defect simulation tests, and solves the problem of simulation and research of electromechanical states and defect characteristics of gas insulated switchgear (GIS) under different operation conditions. Wherein the test platform comprises an AC voltage source, a GIS scaling model, a vibration table and an excitation power amplifier, defects are preset in the GIS scaling model, the GIS scaling model is provided with a transparent observation window used for observing the internal condition of the model, and the GIS scaling model is fixedly installed on the vibration table; an alternating-current voltage source is loaded on a GIS scaling model bus to simulate distribution of an electric field in a GIS, and vibration is applied to the GIS scaling model through a vibration table and an excitation power amplifier to simulate GIS vibration caused by current.

The invention discloses a deep mutation scanning method based on protein-protein interaction in bacterial cells and a binding affinity prediction method. In the invention, split dCas9 proteins (SEQ ID NO.1 and SEQ ID NO.2) are respectively subjected to fusion expression with a receptor and a ligand with binding affinity to be detected, and are combined with a toxic sgRNA guide sequence (SEQ ID NO.3), and when PPI occurs, a toxic dCas9: sgRNA complex is formed to inhibit bacterial growth, so that a PPI affinity size signal is converted into a bacterial cell generation speed signal, and the signal can be quantified into a copy number value through next-generation sequencing. The invention further designs a deep learning binding affinity prediction model, high-affinity sequences can be screened from theoretical mutation space, the workload and cost of experimental verification are remarkably reduced, and a reliable basis is provided for subsequent protein function optimization and design.

The invention belongs to the field of chemical medicine analysis, and particularly relates to a method for determining the content of impurities in phloroglucinol trimethyl ether. According to the method provided by the invention, the excessive methylation impurities (2, 4, 6-trimethoxytoluene, 2, 4, 6-trimethoxyxylene and 2, 4, 6-trimethoxytrimethylbenzene) generated in the methylation process can be detected, and the excessive methylation impurities are prevented from being further transferred and existing in a phloroglucinol trimethyl ether raw material medicine and a final product phloroglucinol injection preparation. Researches on specificity, accuracy, precision, limit of detection, limit of quantitation, linear range, durability and the like of the method prove that the method is suitable for measuring the content of the over-methylated impurities in the phloroglucinol trimethyl ether.

The invention relates to the technical field of plant genetic engineering, and provides an agrobacterium rhizogenes-mediated sunflower transient transformation system and a construction method thereof, sterile conditions and tissue culture are not needed, a vector to be transformed is transferred into agrobacterium rhizogenes, positive strains are cultured and screened, and a dip dyeing solution is prepared; cutting a stem section of the sunflower, and pricking holes near a cut; immersing the stem segments in the dip dyeing liquid for a period of time; taking out and inserting into sterilized vermiculite soil mixed with orobanche coerulescens for rooting to obtain an instantly transformed sunflower plant; the method is easy and convenient to operate and short in period, the expression level of the HaCERK1 gene can be effectively improved, the resistance of sunflowers to orobanche coerulescens infection is enhanced, and the gene function research period is shortened.

According to the two-dimensional grain boundary filling method based on the three-dimensional information, firstly, an image is collected through a high-resolution two-dimensional imaging technology, reference registration is carried out, and accurate association of spatial information is ensured; after a first-layer metallographic pattern grain boundary is completed through hand drawing, preprocessing operations such as graying, enhancing and filtering are carried out on an image. Noisy points are removed by using a specific function and a formula, binarization is carried out, and a grain boundary is refined by using professional software. And performing grain corrosion by setting a threshold value to obtain a central mark point, and calculating a proportion parameter of adjacent grains by eight-direction tracking. And detecting and scaling the crystal grain edge of the first-layer metallographic pattern, and filling the second-layer crystal grain by using a special program until a complete metallographic pattern is output. According to the method, a filling result is verified by combining a three-dimensional reconstruction technology, and an algorithm is optimized. According to the technology, the structural integrity and performance of the crystal material are effectively improved, the grain boundary reconstruction precision is improved, the material performance prediction reliability is enhanced, the experiment and calculation cost is reduced, the data processing efficiency is improved, the technology is suitable for various materials, and a new way is developed for material microcosmic research and application.

The invention discloses a plant cell nucleus extraction method and application, and belongs to the technical field of plant single cell sequencing. The method comprises the following steps: carrying out tissue immobilization on plant tissues by using precooled methanol; preparing a cell nucleus lysis solution, namely an NIB solution; cleaning and chopping the fixed tissue sample, and incubating the tissue sample in an NIB solution; filtering with a screen; centrifuging, discarding supernatant, and resuspending and precipitating the NIB solution to obtain a suspension; slowly dripping the suspension into a Percoll solution, and carrying out density gradient centrifugation to purify cell nucleuses. The invention provides a high-applicability and high-quality cell nucleus extraction method which is suitable for cryopreserved or fresh tissue samples, higher cell nucleus yield and mRNA capture rate are obtained, and the data quality of single cell sequencing is improved.

The invention provides a calibration device and a calibration method for a particle image velocity measurement method, and relates to the technical field of fluid mechanics, and the calibration device comprises a calibration plate module which is installed on a casing of a gas compressor and comprises a calibration plate suitable for moving along the radial direction of the casing; the calibration plate extends in a plane perpendicular to the radial direction so as to simulate target view fields at different radial positions in the cartridge receiver, and a plurality of calibration points are arranged on the calibration plate; the transparent window module is configured on the window of the casing so as to form a transparent window on the casing; the camera module is arranged outside the cartridge receiver and is suitable for penetrating through the transparent window to shoot the calibration plates at different radial positions, and calibration images corresponding to the different radial positions are obtained respectively; wherein the spatial relationship between the camera module and the target view field is obtained according to the information of the calibration points of the calibration plate and the information of the representation calibration points displayed on the plurality of calibration images.

The invention discloses an adjustable sweating cooling effect testing system and a testing method thereof. An adjustable sweating cooling effect testing system comprises a liquid supply mechanism, the liquid supply mechanism comprises a micro-injection pump, a three-way connector and a liquid supply pipeline, and an outlet of the micro-injection pump is in butt joint with the liquid supply pipeline and a pressure sensor through the three-way connector; the first experiment jig is suitable for a sheet-shaped test piece; the second experiment jig is suitable for a block-shaped test piece; the infrared heating lamp is used for providing heat for the test piece, a light uniformizing sheet is arranged between the infrared heating lamp and the first test fixture, and a plano-convex lens is arranged between the infrared heating lamp and the second test fixture; the infrared thermal imager is used for collecting the surface temperature of the test piece; and the thermocouple assembly is used for collecting the internal temperature of the test piece. Different experimental jigs are selected for experiments according to different sizes, and the sweating cooling test requirements of different products are met.

The invention discloses a low-sodium myofibrillar protein flavor prediction method and a low-sodium myofibrillar protein flavor prediction device. The method comprises the following steps: firstly, constructing a protein-flavor interaction system containing myofibrillar protein, potassium chloride, kappa-carrageenan and representative aldehyde flavor compounds; then, by means of spectroscopy, rheometer combination, an electronic tongue and the like, protein conformational change, typical aldehyde molecule binding rate and taste features are represented in a multi-dimensional mode. And establishing a random forest prediction model, taking protein conformation parameters as input, and taking a flavor binding rate and effective taste intensity as output. The model can reveal cross correlation between protein conformations and functions and identify key conformation parameters that affect flavor. And in combination with quantification and prediction capabilities of the model, a conformation-flavor relationship can be systematically analyzed, a basis is provided for optimization of a low-sodium formula, flavor is enhanced while salty taste is increased and bitter taste is inhibited, and healthy and sustainable development of low-sodium meat products is promoted.

The invention relates to the field of biology, in particular to a fluorescence and bar code pedigree tracking alveolar organ and a construction method and application thereof. The invention particularly aims at the problems of specific sorting of AT2 cells, culture of organoids and pedigree retracking in the disease process, and is used for simulating and researching the in-vitro pathological process of chronic obstructive pulmonary disease (COPD). The alveolar organ with fluorescence and bar code pedigree tracking is constructed and can track the fate transformation of alveolar type II cells (AT2) in a disease model, and the cell pedigree is further decoded, so that a new research basis is provided for early diagnosis and treatment of COPD (chronic obstructive pulmonary disease).

The invention provides a rock mineral micromechanical evolution characterization method based on a convolutional neural network. The rock mineral micromechanical evolution characterization method comprises the following steps: step 1, obtaining rock sample micromechanical properties through a nanoindentation experiment; 2, performing deconvolution statistical analysis by using a Gaussian mixture model, and obtaining mechanical and volume fractions of each phase through a nanoindentation experiment; step 3, utilizing a Mori-Tanaka scale upgrading method to understand a convolution result, and performing rock macromechanical property prediction in combination with a convolutional neural network; and step 4, performing precision checking calculation on an output result of the convolutional neural network model until the prediction precision meets a preset requirement. According to the method, the microscopic mechanical parameters of the rock sample are obtained through the grid nanoindentation, statistical analysis is carried out on the nanoindentation test result by utilizing a deconvolution method, the mechanical property of the macroscale of the rock is obtained in combination with machine learning and a scale upgrading model, and a bridge for connecting the macroscale and the microscale is established; the method can effectively solve the problem of inaccurate prediction of rock micromechanical parameters on the macroscale and the problem of mechanical property characterization caused by scale difference.

The invention belongs to the technical field of material science, and discloses a cyanate ester / quartz fiber mechanical property optimization method based on machine learning and a related device. Recommending a tensile modulus target and a tensile strength target of the cyanate ester corresponding to the tensile strength target of the cyanate ester / quartz fiber composite material; utilizing a trained machine learning model to recommend components and process parameters of the cyanate ester corresponding to the tensile modulus target and the tensile strength target of the cyanate ester; and screening the recommended components and process parameters of the cyanate ester to obtain the components and process parameters of the cyanate ester corresponding to the tensile strength target of the cyanate ester / quartz fiber composite material. According to the method, limited production line data can be utilized, the experiment frequency and cost are reduced, the cyanate performance is rapidly optimized, and then the high-performance composite material is obtained.

The invention discloses a method for testing the sensitivity of animal-derived bacteria to antibacterial agents, and relates to the technical field of testing the sensitivity of the animal-derived bacteria to the antibacterial agents. The test method comprises the following steps: preparing an antibacterial product sample solution, diluting the sample solution, preparing a bacterial suspension of a quality control strain, inoculating, culturing and judging a result. A trace broth dilution method is carried out by using a 96-well plate, a large number of samples and antibacterial agents with different concentrations can be tested at the same time, the screening efficiency is greatly improved, time and resources are saved, and the metabolism condition of bacteria can be sensitively reflected by using triphenyltetrazole chloride (TTC) as a color developing agent, so that the screening accuracy is improved. The TTC is reduced into a red substance in the bacterial proliferation process, so that the bacterial growth or inhibition state can be intuitively judged through color change, and the detection sensitivity is improved; the method is simple and clear in operation process, comprises the steps of sample solution preparation, dilution, inoculation, culture, result interpretation and the like, and is easy to implement.

The invention relates to a method for machine learning aided design of a structural alloy for a fourth-generation thorium-based molten salt reactor, and belongs to the technical field of artificial intelligence auxiliary material design. The method comprises the steps that S1, an alloy component machine learning model for phase composition prediction is established, specifically, based on known alloy sample data, the sample data comprise alloy element content and corresponding phase composition information, and the machine learning model used for predicting alloy phase composition is established; s2, screening an initial alloy component space through phase composition constraint conditions; s3, secondary screening of alloy components based on thermodynamic simulation; s4, alloy sample preparation and solid solution homogenization treatment; s5, carrying out a mechanical property test; and S6, experimental result feedback and machine learning model closed-loop updating are carried out. According to the method, the artificial intelligence technology and the traditional alloy design theory are organically fused, an efficient and reliable new path is provided for research and development of key structural materials for the fourth-generation thorium-based molten salt reactor, and the important scientific research value and the engineering application prospect are achieved.

The invention relates to the technical field of microfluidics, in particular to a high-flux approximate single cell space transcriptional library building method based on a micro-fluidic chip, which comprises the following steps: carrying out earlier stage treatment on a tissue slice in a single micropore, including fixing, permeating and carrying out reverse transcription on the tissue in situ to obtain DNA and RNA molecular hybrid chains; the method comprises the following steps: pasting a micro-fluidic chip on a tissue slice to capture mRNA at a high throughput in a spatial dimension, so that an mRNA molecule of a single pixel site carries an identification code capable of identifying the identity of the mRNA molecule; carrying out chain conversion on the hybrid chain to obtain double-chain cDNA, and then carrying out a round of amplification on the cDNA to enlarge the molecular weight of the cDNA; and then carrying out Tn5 interruption on the quantified cDNA, carrying out two-round amplification, and finally purifying the library with the sequencing linker and then sending the sample for sequencing. According to the present invention, the sufficient gene number and the sufficient mRNA category number for subsequent analysis can be captured under the high throughput in space and the high resolution of the similar single cell.

The invention relates to the field of gene engineering, and discloses a construction method and application of a GPX4S131A mutant endothelial cell line. According to the invention, the CRISPR / Cas9 technology is utilized to construct a gRNA vector containing targeted GPX4, ssODN is utilized to carry out targeted alanine (A) mutation on serine (S) of the 131 basic group of GPX4, and a stable GPX4S131A mutant endothelial cell ferroptosis model is constructed, so that a specific mechanism of endothelial cell ferroptosis is disclosed, a useful clue is provided for treating cardiovascular diseases caused by endothelial cell ferroptosis, and the application has a wide application prospect. The important application value is realized.

The application discloses a protein-small molecule binding structure prediction method and device, equipment and medium, relates to the technical field of protein-small molecule binding prediction, and includes: obtaining the first modeling graph structure and the second modeling graph structure of the protein block and the small molecule compound to be tested after modeling respectively; inputting the first modeling graph structure and the second modeling graph structure into a TANKBind model to output a predicted protein-small molecule complex through the TANKBind model; generating a first topology file and a second topology file corresponding to a protein structure file and a small molecule structure file of the protein-small molecule complex; performing molecular dynamics simulation by using a preset molecular dynamics simulation tool and a simulation file generated according to the first topology file and the second topology file to obtain a molecular dynamics simulation trajectory file; and analyzing the molecular dynamics simulation trajectory file, the first topology file and the second topology file to obtain simulation analysis results.

A turbine temperature distribution prediction method based on deep learning is used for evolution prediction of gas turbine transient experiment solid domain temperature distribution along with time, and comprises the following steps: constructing a turbine cascade experiment geometric model, generating a turbine cascade calculation grid, and processing according to the turbine cascade geometric model to obtain a turbine cascade test piece; the method comprises the following steps: constructing a gas turbine transient experiment device, determining transient experiment working conditions and boundary conditions of a turbine cascade, and constructing a recurrent neural network coded by a transient heat conduction equation; a gas turbine transient experiment is carried out, main flow inlet total temperature time sequence data, turbine blade grid test piece surface temperature time sequence data and material thermophysical parameters of a turbine blade grid test piece are collected to form experiment data, the recurrent neural network is trained, and inversion of experiment working conditions is completed; and utilizing the trained recurrent neural network to predict the temperature distribution in the whole stable operation stage of the solid domain of the turbine cascade. The transient experiment time can be shortened, and the transient experiment cost can be remarkably reduced.

The embodiment of the invention provides a method, device and equipment for measuring the drift rate of a cooling tower and a medium, and relates to the technical field of measurement. The method comprises the steps that the initial mass of a water absorption vessel and the cooling water flow of the cooling tower are determined, and the water absorption vessel is located in a water tank of the cooling tower and higher than the liquid level of the water tank; when the operation duration of the cooling tower reaches the preset operation duration, the water absorption mass of the water absorption vessel is determined; measuring the splashing rate of the cooling tower according to the initial mass, the water absorption mass, the cooling water flow and the surface area of the water tank; and determining the drifting rate of the cooling tower according to the splashing rate of the cooling tower and a preset relation curve. Therefore, the method for measuring the drift rate of the cooling tower does not need to use a high-precision balance and drying equipment at a physical and chemical laboratory level, but can complete the mass measurement of the water absorption vessel by using common weighing equipment, so that the experiment cost is greatly reduced, the difficulty in actual operation is reduced, and the field measurement is more feasible.

The invention discloses a soil particle mesoscopic parameter calibration method which is characterized by comprising the following steps: step 1, applying a predetermined load to a soil sample, and obtaining an actual soil settlement amplitude under the predetermined load; step 2, acquiring a soil sample image and extracting geometric parameters of soil particles; 3, soil particle mesoscopic parameters are input; 4, according to the actual soil settlement amplitude in the step 1, the soil particle geometric parameters in the step 2 and the soil particle mesoscopic parameters input in the step 3, calculating the soil particle mesoscopic parameters through an iterative optimization algorithm; and step 5, outputting the calculated soil particle mesoscopic parameters as calibrated soil mesoscopic parameters, and through the high-resolution image and the iterative optimization algorithm, the accuracy of soil particle mesoscopic parameter calibration is improved, and the calibration precision is improved.

The invention provides a centrifugal collecting device. The centrifugal collecting device comprises a driving part and a driving part, the rotor assembly is connected with the driving piece; the liquid storage part is arranged on the rotor assembly, and the liquid storage part is provided with a liquid storage cavity; the flow guide assembly comprises a flexible flow guide pipe, and one end of the flexible flow guide pipe is connected with the liquid storage part and communicates with the liquid storage cavity; the flow adjusting part is connected with the rotor assembly, a slit is formed in the flow adjusting part, and under the condition that the flexible flow guide pipe is embedded into the slit, the flexible flow guide pipe deforms; the collection assembly comprises a treatment container, a filter part and a collection container, the filter part is arranged in the treatment container and divides the treatment container into a treatment chamber and a confluence chamber, the treatment chamber is communicated with the other end of the flexible flow guide pipe, and the confluence chamber is communicated with the collection container, that is, the effective stripping of the adsorbed secretions is realized; the dosage of a buffer solution is remarkably reduced, and the concentration of effective components in a collected solution is greatly improved, so that a detection result is closer to the content of real secretions in soil.

This utility model provides a slide-fitting and liquid-filling fixture, including a slide assembly and a clamping assembly. The slide assembly includes an upper slide, a lower slide, and a flexible pad. The flexible pad is disposed between the upper slide and the lower slide to form a flow channel between them. The upper slide has an inlet and an outlet, which are respectively connected to the flow channel. The clamping assembly includes an upper cover, a lower cover, and an elastic compression member. The elastic compression member is disposed on the upper cover. The upper slide, the flexible pad, and the lower slide are clamped between the elastic compression member and the lower cover in a top-to-bottom arrangement, effectively reducing reagent usage while ensuring sufficient contact between the reagent and the sample.

This invention provides a method and apparatus for detecting the reuse of centrifuge tubes in ultra-high-speed centrifuges, comprising the following steps: S1, pressurizing and filling a medium into a new centrifuge tube, and detecting the diameter deformation of the centrifuge tube online; S2, using the maximum pressure that the centrifuge tube can withstand to return to its initial diameter as the yield limit pressure value; S3, replacing the centrifuge tube to be reused, pressurizing and filling the centrifuge tube to be reused with a medium, controlling the reuse pressure value at 75%~95% of the yield limit pressure value; S4, detecting the diameter deformation of the centrifuge tube to be reused online; S5, selecting the centrifuge tube that can return to its initial diameter as the reuse centrifuge tube. This invention can detect centrifuge tubes and determine whether they can be safely reused, significantly reducing experimental costs. It can be used to detect whether replacement centrifuge tubes meet the application requirements of ultra-high-speed centrifuges. It prevents substandard centrifuge tubes from entering the ultra-high-speed centrifuge, causing equipment damage or even sample leakage.

The utility model provides a multipath liquid taking head. The multipath liquid taking head comprises a connecting part, a transition part and a liquid taking part, the connecting part is used for being connected with a pipette head of a pipette body, and the bottom of the connecting part is detachably connected with a transition part for preventing liquid from flowing back; the bottom of the transition part is detachably connected with a liquid suction head; the connecting part comprises a plurality of sleeves which are integrally formed and have different diameters, and is used for connecting the pipettes with different specifications and models; by designing the multi-diameter liquid taking head connecting part comprising a plurality of sleeves with different diameters, the technical scheme can be adapted to most specifications of pipettes on the market, and the universality and the flexibility of the liquid taking head are greatly improved; laboratory personnel do not need to purchase liquid taking heads of various specifications for different types of pipettes, so that the experiment cost and the management difficulty are reduced.

The application discloses an experimental testing device and a testing method suitable for high-temperature lead-bismuth erosion, and belongs to the technical field of nuclear energy experimental testing devices. The device comprises a variable frequency motor, a motor support, a main shaft, a stuffing box, a shaft seat, a flange cover, a tank body, a mounting base, a test piece disc and a medium rotation prevention device. The output shaft of the variable frequency motor penetrates through the top cover of the motor support, the upper end of the main shaft is connected with the output shaft of the variable frequency motor through an elastic column pin coupling, and the stuffing box and the shaft seat are sleeved on the outside of the main shaft. The lower part of the motor support is detachably connected with the shaft seat, the shaft seat is detachably connected with the top of the flange cover, the flange cover is detachably connected with the top of the tank body, and the tank body is welded on the mounting base. The lower end of the main shaft extends into the tank body, and three test piece discs are arranged at equal intervals in the tank body, and test pieces are detachably installed on the test piece discs. The medium rotation prevention device is embedded in the tank body. The top edge of the tank body is connected with a protective gas inlet and a protective gas outlet, and the bottom is provided with a lead-bismuth medium inlet and outlet.

According to the multiple mycotoxin target detection method based on CRISPR-Cas12a provided by the invention, multiple detection of OTA and AFB1 is successfully realized by utilizing a transverse flow analysis platform assisted by CRISPR / Cas12a under the condition that Cas12a and crRNA are not replaced, and the experiment cost is reduced. Compared with a commercial colloidal gold test strip, the detection sensitivity is improved by 1-2 orders of magnitude. Under the condition that a complex magnetic separation step is not needed, a Signal-on signal mode can be directly achieved, and complex experiment operation is reduced. The research shows the potential of the MC-LFA strategy for food safety detection in a resource limited environment, and the detection target range can be effectively expanded only by replacing the aptamer sequence, so that the MC-LFA strategy becomes a general technology suitable for various analysis schemes, and has potential application prospects in multiple fields such as public health, agriculture and environment monitoring.

The invention discloses a while-drilling seismic source energy and wave field measurement test device and a use method, and relates to the technical field of well drilling data experimental equipment.The while-drilling seismic source energy and wave field measurement test device comprises a supporting assembly, the supporting assembly comprises a shaft upper cover, a well mouth four-way joint and a shaft which are sequentially connected through flanges, and a well inner cavity is formed; the detection assembly comprises a rock sample box connected with the shaft and an impact force detector located below the rock sample box, a rock sample capable of sliding relative to the rock sample box is arranged in the rock sample box, a cushion block making contact with the rock sample is arranged at the bottom of the rock sample box, and the rock sample acts on the impact force detector through the cushion block. A plurality of ground wave detectors in contact with the rock sample are arranged in the rock sample box, the ground drilling assembly comprises a drill bit, the drill bit is used for impacting the rock sample, the problems that a lot of time needs to be spent on finding a proper well position and the cost is high when a field experiment is carried out in reality are solved, and by applying the device, the non-timeliness of the field experiment and the experiment cost are greatly reduced.