222 results about "Sample extraction" patented technology

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 utility model relates to the field of antigen detection kits, and discloses an infectious bovine rhinotracheitis virus antigen detection kit which comprises a box body, a roller is rotatably connected to the bottom side in the box body, a clamping groove is formed in the upper side of the roller, a clamping pin is connected to the clamping groove in a clamping mode, and a placing table is fixedly connected to the upper side of the clamping pin. A plurality of swab placing grooves, an extraction tube placing groove and a detection card placing groove are respectively formed in the upper side of the placing table, the plurality of swab placing grooves, the extraction tube placing groove and the detection card placing groove are distributed in a circumferential array, and sampling swabs are arranged on the inner sides of the plurality of swab placing grooves; according to the utility model, a plurality of groups of sampling swabs, sample extraction tubes and antigen detection cards which are distributed in a circumferential array manner are placed on the placement table, so that when sampling personnel go to cattle for sampling one by one, the sampling personnel can rotate to detection materials such as the next group of antigen detection cards and the like only by pressing down the push rod and switching the angle of the placement table, and the operation is convenient and the use is simple.

The invention relates to a method for detecting six second-line antituberculous drugs by high performance liquid chromatography. The method comprises the following steps: providing an internal standard stock solution and a standard stock solution of six second-line antituberculosis drugs; preparing an internal standard working solution and a standard curve working solution by utilizing the diluent; preparing a solution of a product to be detected by using the Tianlongitudinal sample extraction liquid TZ-002; a liquid chromatograph is used for detection, and the conditions are as follows: a mobile phase A is a Tianlongitudinal sample releasing agent TZ-D004; a mobile phase B is acetonitrile; a mobile phase C is water; and gradient elution. According to the method, the plasma concentration of the second-line antituberculous drug taken by a tuberculosis patient is measured by applying the reversed-phase high-performance liquid chromatography, the cost is relatively low, the analysis time is short, the sensitivity is high, and the accuracy is high. The kit can be used for simultaneously detecting the blood concentration of six second-line antituberculosis drugs such as isopropylthioamide, levofloxacin, linezolid, moxifloxacin, deramanib and bedaquiline in human serum, and is expected to provide a more reliable basis for clinicians to adjust the dosage of the antituberculosis drugs.

The invention discloses a combined determination method for the tin content of iron ore, which is characterized by comprising the following steps: drawing a calibration curve; selecting measurement parameters of an instrument; weighing a sample; sample melting: uniformly mixing the weighed sample with a mixed flux in a certain proportion, and melting in a muffle furnace; extracting a sample: extracting the fused sample by using hydrochloric acid, and fixing the volume for detection; and sample determination: determining by using an inductively coupled plasma emission spectrometer, determining the intensity value of each element by drawing a standard curve method, and calculating the final content of the element according to a calibration curve made by a standard solution. The invention aims to provide the combined determination method for the tin content of the iron ore, through experiments, the accuracy of determining the standard substance and the tin element of the tin-containing iron ore can be guaranteed, and through standard recovery experiments, the recovery rate is 95% or above. The method is used for production practice, and is an effective and practical method.

The invention relates to a method for detecting alkaloid compounds based on UPLC-MSMS (ultra performance liquid chromatography-mass spectrometry) and application. The method comprises the following steps: after a sample is extracted, detecting a sample extracting solution and a standard solution by adopting an ultra performance liquid chromatography-mass spectrometry combined method; a mobile phase adopted by the ultra-high performance liquid chromatography is as follows: a mobile phase A is an aqueous solution containing 0.1% of formic acid; the mobile phase B is an acetonitrile solution containing 0.1% of formic acid. According to the method disclosed by the invention, after the extracted tissue sample is subjected to liquid chromatography separation, the alkaloid metabolites are qualitatively and quantitatively detected in a targeted manner, and due to the high selectivity of the high-resolution mass spectrum, parameter optimization does not need to be performed on each metabolite.

The application discloses a kind of based on remote sensing cloud computing's regional desertification automatic monitoring method, comprising: obtaining target area time series multispectral remote sensing image, extracting vegetation index and surface albedo;Based on composite ground object identification rule, eliminate non-target ground object pixel, construct basic sampling pixel set;Based on spatial homogeneity verification mechanism, sample extraction effective fitting sample set;The sample set is segmented and is statistically processed and is regressed, extracts two-dimensional characteristic space's dry side equation and wet side equation;Calculate the spatial geometric relative distance of each reserved pixel to dry and wet double sides, combined with the out-of-bound physical constraint truncation mechanism processing obtains relative desertification difference index;Based on the index, divide desertification grade.The present application overcomes the defect that extreme value fitting is fragile and threshold generalization fails, and realizes high-precision automatic monitoring.

The application discloses a portable fungus metabolite activity screening integrated device, and belongs to the field of fungus metabolite activity screening, which comprises a supporting base, a sample extraction part arranged on the supporting base to place fungus dry powder, an extraction and purification part arranged on the supporting base and connected with the sample extraction part to take out the sample in the sample extraction part for purification, a suction head replacement part arranged on the supporting side plate to place the connecting suction head, so that the connecting suction head is new every time when the solution in the extraction and purification part is transferred, and a detection part arranged in the constant-temperature incubation cabin to detect the reacted solution. The synchronous rotation design of the sample disc and the purification disc, the precise pipetting of the mechanical arm and the automatic replacement of the suction head realize continuous pipeline operation, and manual operation of frequently transferring the sample and the reagent between different equipment in the traditional method is avoided.

This invention discloses a non-invasive biodiversity monitoring system for mammal species in an artificial ecosystem, comprising a first collection module for collecting and preserving eDNA samples from trees, a second collection module for collecting water samples, a third collection module for collecting soil samples, and an analysis module for monitoring the samples. The first collection module includes a water spraying component, a collection component, and a moving component. By actively spraying water near the tree trunk to flush away eDNA from the trees, and by using elastic clamps to surround the tree trunk to collect and guide the sample water flow, the system is finally filtered and preserved through a device integrated within the vehicle. This sampling and monitoring method expands the sample extraction range, enabling more accurate biodiversity monitoring.

The invention provides a full-process automatic all-in-one machine for DNA extraction, amplification and sequencing. The full-process automatic all-in-one machine comprises a cabin body, the cabin body is internally provided with a first space, and the first space is internally provided with a biological sample extraction workbench for realizing the whole process of DNA extraction, amplification and sequencing; the top of the cabin is provided with an air inlet duct, the side surface or / and the bottom of the cabin is provided with an air outlet duct, and the air inlet duct and the air outlet duct form negative pressure in the cabin; an amplification area is arranged on the biological sample extraction workbench, a cooling base used for reducing pollutants generated in the amplification process is arranged in the amplification area, and an air suction plate is arranged on the side face of the amplification area; the air suction plate is communicated with the air outlet channel, and pollutants generated in the amplification area are discharged out of the cabin body through the air outlet channel. Pollutants generated in the cabin body can be effectively prevented from facing three positions outside from gaps or cabin door lamps of the cabin body, so that pollution to the surrounding environment is avoided, and the safety of biological experiments is further improved. In addition, the integrated cabin is provided, and the requirement for the operation space of the biological experiment is effectively reduced.

The application discloses a kind of on-line double-gradient pre-concentration detection methods of soil heavy metal ions based on microchip electrophoresis non-contact conductivity detection, including preparation of the analyte sample to be measured, preparation of high concentration buffer as background buffer, preparation of microchip, microchip electrophoresis process and the like steps.When testing, the background buffer contains 2-(N-morpholinyl)ethanesulfonic acid, L-histidine and electroosmotic flow inhibitor;The analyte sample to be measured contains sample matrix liquid and sample extraction stock solution.Among them, the sample matrix liquid is low-concentration buffer, and glacial acetic acid is used to reduce pH value.In testing, due to the existence of concentration gradient and pH gradient between the analyte sample solution to be measured and the background buffer, the ions to be measured in the sample will slow down and accumulate at the contact surface of the two during migration, realizing on-line pre-concentration, and improving the detection sensitivity of the ions to be measured.The application greatly improves the separation degree of multiple heavy metal ions, and effectively improves the detection sensitivity of heavy metal ions.

The utility model relates to the field of marine product detection, and discloses a marine product detection sample extraction device which comprises a base for placing a marine product can, a push plate is slidably mounted on the base in a limiting manner, and a vertical conical rod is rotatably mounted on the push plate; a drill bit is fixedly mounted at the bottom end of the conical rod; a power mechanism for driving the push plate to slide up and down is arranged between the base and the push plate and is in transmission connection with the push plate; the cone rod is in transmission fit with the power mechanism through the linkage piece so as to drive the cone rod to rotate. According to the utility model, the drill bit is arranged at the bottom end of the cone rod, and the cone rod can rotate, so that the drill bit can drill an opening in a seafood can when puncturing the seafood can, thereby facilitating the subsequent insertion of the cone rod into the can in a sliding manner, reducing the pressure on the seafood can, facilitating sampling and preventing the seafood can from deforming; and liquid in the can cannot be squeezed out to pollute the environment.

The invention pertains to a device for determination of a catalyst state in a chemical reactor and to a method for detecting a catalyst state under in situ reaction conditions. A reactor is provided with a solid catalyst provided in a reactor chamber. A fluid sample is taken from the reactor chamber and is transferred to a sample chamber. The temperature at the extraction site of the sample in the reactor chamber is determined and the temperature of the sample chamber is adjusted to the same temperature. A small amount of the catalyst provided in reactor chamber is provided in sample chamber and is contacted with the sample flow. Spectroscopic information is then obtained on the catalyst provided in sample cell, e.g. by an IR spectrometer.

The embodiment of the invention provides an adversarial verification evaluation method, system and device for a fault mode coverage capability boundary of a fault detection and diagnosis model. The adversarial verification evaluation method for the fault mode coverage capability boundary of the fault detection and diagnosis model comprises the steps that an obtained fault mode search domain is divided into at least two sub-domains, and the fault mode search domain is generated by a parameter combination used for describing a target equipment fault mode; determining a sample extraction number corresponding to each sub-domain in the current round, and extracting from the initial sample set according to the sample extraction number to obtain a corresponding target verification sample; processing the target verification sample through a fault detection model to generate a corresponding fault detection result; and based on the fault detection result and a preset evaluation index, verifying and evaluating the fault mode coverage capability of the fault detection model, and generating a corresponding verification and evaluation result.

The utility model discloses a sampler, which relates to the technical field of grain detection and comprises a frame, a track mechanism, a traveling mechanism, a rotating mechanism and a sampling mechanism, the track mechanism is fixedly arranged on the frame and extends along a first direction; the walking mechanism is slidably arranged on the track mechanism; the rotating mechanism is rotationally arranged on the walking mechanism; the sampling mechanism comprises a sampling framework and a sampling rod assembly, the sampling framework is fixedly arranged on the rotating mechanism, a rail groove extending in the length direction of the sampling framework is formed in the sampling framework, and the sampling rod assembly is arranged on the periphery of the sampling framework in parallel and arranged in the rail groove in a sliding mode. According to the technical scheme provided by the utility model, the problem that an existing sampling rod is easy to bend during sampling due to the fact that the sampling rod is hung on the rotating seat is solved.

This application relates to an integrated device for the extraction of biological components and cells through sieving, comprising a main body and a mixed-flow sieving module, a push-in module, an inlet / outlet module, and a lifting module disposed within a receiving chamber of the main body. The push-in module includes a push-in pump assembly and a push-in drive module. The push-in drive module drives the push-in pump assembly to pull and push, enabling the push-in pump assembly to cooperate with the mixed-flow sieving module for push-in mixing and graded filtration to obtain the target sample. After the target sample extraction is completed, the lifting module drives the mixed-flow sieving module and the push-in pump assembly connected to it to rise, causing the push-in pump assembly to detach from the push-in drive module. The inlet / outlet module then drives the mixed-flow sieving module forward, pushing the push-in pump assembly out of the outlet. After the pushed-out target sample is collected by the push-in pump, the inlet / outlet module drives the mixed-flow sieving module and the remaining push-in pumps to move backward back into the receiving chamber for removal from the opening at the top of the receiving chamber. This integrated device balances portability and functionality while improving safety during use.

Disclosed herein are methods and systems for performing sample extraction and protective cap placement for highly reactive materials within a charged particle microscope system. The methods include preparing a nested void in a support structure; transferring at least a portion of a sample into the nested void; and milling material from a region of the support structure that defines the nested void. Milling the material from the region of the support structure causes at least some of the removed material to redeposit to form an adhesive bond between the sample and a remaining portion of the support structure. In various embodiments, the sample can then be investigated using one or more of serial section tomography of the sample, enhanced insertable backscatter detector (CBS) analysis of the sample, and electron backscatter diffraction (EBSD) analysis of the sample.

The application discloses a method, device and equipment for determining single or double-sided correction of a test paper, and a readable medium. The method comprises scanning and uploading a test paper to be corrected; performing sample extraction on the uploaded test paper to be corrected to obtain a first sample test paper set; performing test paper determination on the first sample test paper set; and executing first determination logic after the determination. Through the combination of sample extraction, test paper determination and two-stage determination logic, it can be determined automatically and accurately whether the test paper scanned in the current class needs single-sided correction or double-sided correction, thereby solving the problem that the existing intelligent correction machine cannot accurately determine the correction object when facing single or double-sided mixed placement, effectively meeting the actual needs of schools for printing different test papers on the front and back of a piece of paper to save materials, supporting two separate corrections of the front and back, and realizing the function of single-page test paper correction and leaving marks, and improving the adaptive ability of the intelligent correction machine to diversified teaching scenarios.

This invention discloses a real-time quantitative PCR device, relating to the field of quantitative PCR equipment technology. It includes a device platform, with a detection chamber fixedly installed on one side of the top of the platform. A sample plate is slidably disposed inside the detection chamber. The sample plate has multiple hanging holes arranged in a rectangular array, and reagent tubes are installed inside the hanging holes. An assembly is also provided on the sample plate. The assembly includes two connecting brackets movably mounted on the top of the sample plate, with threaded rods fixedly installed inside the connecting brackets. By setting up this assembly, during loading and unloading, rotating the threaded rods can drive a translation rod to connect with the reagent tubes, and lifting the connecting brackets can simultaneously lift or lower all reagent tubes, thereby achieving batch sample extraction and loading. This significantly shortens the time required to open the chamber door, reduces the risk of internal contamination, and improves detection efficiency.

The utility model relates to the technical field of quarantine sampling, in particular to a quarantine sample extraction device for animal quarantine, which comprises a main pipe body, a solid sampling mechanism and a liquid sampling mechanism, a guide groove is arranged in the main pipe body, a movable pipe is sleeved outside the main pipe body, and the solid sampling mechanism comprises a sampling hopper, a shear knife and an auxiliary component. The shear knife is slidably mounted at the lower end of the sampling hopper through a moving block; the auxiliary assembly comprises a first spring, an adjusting block and a second spring; the liquid sampling mechanism comprises a pull rod, a sampling cavity and a piston head, the pull rod is arranged in the guide groove, the sampling cavity is arranged at the lower end of the main pipe body, and the piston head is arranged in the sampling cavity and fixedly connected with the pull rod; by arranging the solid-state sampling mechanism and the liquid-state sampling mechanism, solid-state animal waste and liquid-state animal waste can be sampled; when the solid animal waste is sampled, crude fibers in the solid animal waste are cut off through the arranged auxiliary assembly, and the sampling efficiency is improved.

The invention provides a molecular marker for identifying golden pomelo No.1. The molecular marker comprises three specific DNA (deoxyribonucleic acid) sequences. The invention further provides a method for identifying the golden pomelo No.1 by using the molecular marker, total DNA (deoxyribonucleic acid) of a sample is extracted, then high-throughput sequencing is performed, sequencing reads are compared to the molecular marker, and if the sequencing reads can completely cover the molecular marker and a consistent sequence which is completely the same as the sequence of the molecular marker is generated, the species of the sample to be detected is judged to be the golden pomelo No.1.

The invention discloses an immunochromatography detection kit for pesticide residues in food and a detection method, and relates to the technical field of food detection.The kit comprises an immunochromatography test strip and a sample extracting solution, the immunochromatography test strip is formed by sequentially overlapping and pasting a PVC bottom plate, a sample pad, a combination pad, a nitrocellulose membrane and a water absorption pad, the lap joint width of the adjacent parts is 2-3mm; the synergistic effect of all parts of the immunochromatography test strip is optimized, a detection system with high targeting property is constructed, target pesticide residues are accurately captured and responded by virtue of specific recognition of a target triggering type hydrogel switch, the matrix influence is reduced by matching with a special sample extracting solution, and meanwhile, the molecular recognition and immunochromatography technologies are integrated, so that the detection efficiency is greatly improved. The target trigger type hydrogel switch has the advantages of high selectivity, stable signal marker activity, reasonable layout of a detection line and a quality control line, simplified pretreatment, simple operation, meeting of multi-scene batch detection, and provision of support for food quality safety supervision.

The embodiment of the invention provides a confrontation verification method, system and device for a mechanical and electronic product fault detection and diagnosis model. The confrontation verification method for the mechanical and electronic product fault detection and diagnosis model comprises the following steps: receiving first and second types of verification requirements submitted for a mechanical and electronic product; for the first type of demand, dividing a parameter search domain into at least two sub-domains, and extracting a first verification sample from the initial sample set according to the sample extraction number corresponding to each sub-domain in the current round; for the second type of demand, according to the accuracy of each verification sample in the previous round, adding random noise to each initial sample in the initial sample set, and generating a second verification sample in the current round; processing the first verification sample and the second verification sample through a fault detection model to generate corresponding fault detection results; and based on the fault detection result and a preset evaluation index, verifying and evaluating the fault detection model and generating a corresponding verification and evaluation result.

The application discloses a data processing method and device, equipment and a storage medium. The method comprises the following steps: a client terminal acquires a data processing instruction, the data processing instruction is used for instructing the client terminal to extract sample data participating in horizontal federated learning, and then the client terminal acquires a plurality of target sample data for horizontal federated learning from a local sample data set according to a sample data extraction rule participating in horizontal federated learning. The plurality of target sample data are used for horizontal federated learning. When each client terminal participating in the horizontal federated learning acquires the target sample data, the same sample extraction rule is referred to, so that each client terminal is aware of the sample data extracted by other client terminals for model training, which is equivalent to the effect that each client terminal is mutually cooperative. Therefore, the effect of model training can be improved, and the accuracy of model training is further improved.

The invention discloses a liquid sampling device and an analysis device.The liquid sampling device comprises a vacuum tube, a liquid discharging tube and a material taking tube, the vacuum tube is provided with a containing space and a first opening communicated with the containing space, and the vacuum tube has a cold insulation effect; the liquid discharge pipe is positioned in the accommodating space, is provided with a second opening and is used for placing a to-be-taken sample; the material taking pipe comprises a first end and a second end which are oppositely arranged, and the first end is used for being inserted into the liquid discharging pipe through the first opening and the second opening in sequence so as to extract a to-be-taken sample in the liquid discharging pipe; the first end of the material taking pipe is provided with a tip structure. The first end of the material taking pipe is provided with the tip structure, so that a needed sample can be conveniently taken out from the liquid discharging pipe, and the effect that the taken sample is real-time, real and accurate is achieved. In one embodiment, the sample includes cryogenic liquid xenon-krypton.

The invention belongs to the technical field of molecular traceability of plant pathogenic bacteria, and discloses a molecular traceability method of potato stripe bacteria, which comprises eight specific SNP (Single Nucleotide Polymorphism) marker combinations located in the 80226-81462 interval of a CaLso genome, a nested PCR (Polymerase Chain Reaction) primer group for detecting the marker combinations, and a molecular traceability kit containing the primer group. The invention relates to a potato stripe pathogen molecule traceability method. The method comprises the following steps: sample DNA extraction, qPCR positive screening, nested PCR amplification, SNP site sequencing comparison and genotype analysis, so as to realize accurate determination of CaLso geographical source and haplotype. The method can be applied to CaLso quarantine and intrusion risk prevention and control of commercial crop seeds of Solanaceae or Umbelliferae imported from ports, provides technical support for monitoring pathogen propagation paths and formulating targeted prevention and control strategies, and is high in practicability.

The invention discloses a scene backtracking method, system, equipment and product for a humanoid robot, and the method comprises the steps: triggering the humanoid robot to carry out multi-source data collection processing according to an operation instruction, carrying out the control processing of a data collection process through the operation state of the humanoid robot, and obtaining a multi-source data set; the multi-source data set comprises positioning data, environment video data and target object state data; performing data preprocessing and sample extraction processing on the environment video data according to the positioning data to obtain a sample image; performing target feature recognition and image screening processing on the sample image to obtain a scene image; and performing visual backtracking processing on the positioning data, the scene image and the target object state data to obtain a scene backtracking result. The working efficiency of the humanoid robot can be improved, and the humanoid robot can be widely applied to the technical field of robots.

The utility model relates to the technical field of road construction, in particular to a roadbed and pavement compactness detection device which comprises a moving vehicle, a stop lever, a lifting assembly, a driving assembly and a limiting assembly. The lifting assembly is mounted on one side of the top end of the moving vehicle, and the bottom end of the inner side of the lifting assembly is provided with a hole opening cylinder used for sampling soil of a roadbed and a road surface in a use state; the driving assembly is mounted in the middle of the lifting assembly; the stop lever is installed at the top end of the inner side of the lifting assembly, and the bottom end is inserted into the middle of the tapping cylinder. The limiting assembly is installed in the middle of the lifting assembly and at the top end of the tapping cylinder. According to the utility model, when the driving assembly rotates the tapping cylinder, the lifting driving assembly drives the tapping cylinder to go deep into soil for sampling work, and the tapping cylinder is moved upwards through the lifting assembly, so that a soil sample in the tapping cylinder is moved to the lower part of the tapping cylinder by the stop lever and is separated from the tapping cylinder, and the sample is completely collected; the sample extraction convenience and the detection precision are improved.

The invention provides a marker for identifying a Yinghong No.9 tea tree. The marker is composed of two specific DNA (Deoxyribose Nucleic Acid) sequences. The invention also provides a method for identifying the Yinghong No.9 tea tree by using the marker, total DNA (deoxyribonucleic acid) of a sample is extracted, then high-throughput sequencing is performed, sequencing reads are compared to the marker, and if the marker can be completely covered and a consistent sequence which is completely the same as the sequence of the marker is generated, the species of the sample to be detected is judged to be the Yinghong No.9 tea tree.

The present disclosure relates to a model training data processing method and device, electronic equipment and storage medium. The method comprises: obtaining a plurality of behavior data samples of a user account, the plurality of behavior data samples comprising historical behavior data samples and online behavior data samples, the historical behavior data samples comprising all historical behavior data samples of the user account, or part of the historical behavior data samples extracted from all the historical behavior data samples based on sample extraction logic; determining training data and training labels corresponding to each behavior data sample; and performing online training on an online recommendation model using the training data and the training labels, the online recommendation model being a model that has been trained to meet online prediction requirements, and the trained online recommendation model being used to recommend objects to the user account online. By adding historical behavior data to the training samples, the model structure and the input of the inference stage can be changed, and the pressure on the online recommendation system can be greatly reduced.

The present application relates to a kind of online trapping and extraction device and method of water-soluble component in atmospheric particulate matter, wherein the edge of rotating frame body is provided with filter membrane support plate along the circumferential direction, and filter membrane support plate is uniformly distributed with trapping filter membrane along the circumferential direction, atmospheric input assembly includes atmospheric particulate matter cutter, upper filter membrane seal cover, lower filter membrane seal cover and seal cover driving mechanism, wherein upper filter membrane seal cover and lower filter membrane seal cover are driven to open and close by seal cover driving mechanism, and the trapping filter membrane on the upper side of rotating frame body is arranged between upper filter membrane seal cover and lower filter membrane seal cover, atmospheric particulate matter cutter is connected with upper filter membrane seal cover by connecting pipe, lower filter membrane seal cover is connected with output pipeline, sample extraction assembly includes ultrasonic cleaner, and the trapping filter membrane of completed collection on the lower side of rotating frame body is placed in ultrasonic cleaner.The present application realizes the automation and continuous of atmospheric particulate matter sample collection, avoids background pollution and cross contamination etc.