102 results about "Sample purification" patented technology

The invention discloses a method, a system and equipment for protecting a recoverable image based on a diffusion model, and a medium. The method comprises the following steps: acquiring a to-be-protected image and preset watermark information; an adversarial sample generation module is constructed based on projection gradient descent, an adversarial sample purification module comprising a watermark embedding sub-module is constructed based on a diffusion model, and the watermark embedding sub-module is constructed based on a decoder of a potential diffusion model; inputting the to-be-protected image into an adversarial sample generation module to generate an adversarial sample image; the adversarial sample image is input into an adversarial sample purification module for denoising, a restored image is obtained, and the restored image is a restored to-be-protected image; and adding preset watermark information into the restored image through the watermark embedding sub-module to obtain the restored image containing the watermark. According to the method, the image can be recovered and the image privacy can be better protected under the condition that the image quality is ensured.

The invention provides an affinity carrier net for a cryoelectron microscope and a preparation method and application of a frozen sample of the affinity carrier net. The affinity carrier net comprises a carbonaceous bearing membrane covering the carrier net, a small organic molecule pyr-NHS connected with the carbonaceous bearing membrane, and a specific antibody protein connected with the small organic molecule pyr-NHS; the carbonaceous bearing film is a graphene film, a graphene oxide film or a carbon film. The method comprises the following steps: performing fusion expression on a PA tag having strong affinity interaction with an NZ-1 antibody on a target protein, and performing mixed incubation on an affinity carrier net fixed with an NZ-1 antibody protein and a cell lysis solution of the target protein which performs fusion expression on the PA tag; according to the method, efficient affinity purification and direct cryoelectron microscope sample preparation of the target protein with the PA tag in the cell lysis solution are realized, data collection and high-resolution structural analysis are carried out, the sample purification time and steps are reduced, the sample integrity is improved, the sample demand is reduced, and meanwhile, the problem of orientation tendency of sample distribution is solved.

The invention discloses an automatic PRP (platelet rich plasma) separator which comprises a sterile syringe for sampling, a centrifugal machine for providing a centrifugal effect, a fixing assembly matched with the centrifugal machine for use, and a separator for performing sample purification on the centrifuged sterile syringe, the fixing assembly comprises a detachable base, a force application mechanism arranged above the base and used for pushing and pulling a piston column of a sterile syringe, a support fixed to the base and used for fixing the sterile syringe to be centrifuged, and a color selector used for conducting dynamic color selection on an injection opening of the sterile syringe. And the base is fixed through a fixing seat arranged on the rotating disc. According to the automatic PRP separator and the extraction and separation method thereof provided by the invention, a sample does not need to be taken and placed for many times, and sampling is carried out by adopting automatic identification of a machine, so that the problem of contact with the outside in the transferring and centrifuging processes is effectively solved, the risk of pollution in the PRP preparation process is reduced, and meanwhile, extraction is convenient, the purity is improved, and residual pollution is rejected.

The invention discloses a radio signal identification method based on time-frequency guided confrontation sample purification, and the method comprises the steps: obtaining a radio signal data set which comprises a signal class label and a time domain IQ signal sample, constructing a radio signal training set, and training a signal identification model based on deep learning; according to the forward diffusion process of the diffusion model, Gaussian noise is gradually added to each sample in the radio signal training set, and a noise predictor based on a neural network is trained; adding an anti-disturbance simulation radio signal to be purified to the normalized radio signal test set, introducing a radio signal time-frequency semantic guide item into a reverse process of a diffusion model, and gradually sampling and recovering from standard Gaussian noise by using a noise predictor to obtain a purified radio signal; and sending the purified radio signal to a trained signal identification model for identification. According to the method, the recognition accuracy of the recognition model under the attack of the confrontation sample is remarkably improved.

The invention discloses a method for high-purity sorting and capturing of rare cells. According to the method for high-purity sorting and capturing of the rare cells, the cells are spread firstly, then the positions of the target cells are searched and determined, then a probe is used for discharging a buffer solution outwards to blow away non-target cells around the target cells, and then fluid power is used for capturing the target cells without damage. Finally, the target cells can be released into a receiving container, and high-purity sorting and capturing of the rare cells are achieved. A device matched with the method is simple in structure and easy to operate, and the method has the advantages that repeated and massive dilution is not needed, the cell sample spreading speed is high, the target cell sorting purity is high, the omission rate is low, in-situ capture is achieved, and repeatability is good. The method is suitable for the fields of single cell screening and analysis, single cell culture, single cell drug screening, single molecule analysis, gene screening, sample purification, antibody screening, microbiological research and the like.

The invention discloses a core-shell structure adsorbent and a preparation method and a kit thereof, as well as a detection method for the concentration of styrene metabolites in plasma. The core-shell structure adsorbent includes ferroferric oxide magnetic microspheres, petal-shaped titanium dioxide coated on the surface of the ferroferric oxide magnetic microspheres, and a quaternary amine-carbon 18 bifunctionalized oligomeric polymer compound modified on a partial area of ​​the surface of the petal-shaped titanium dioxide. The core of the adsorbent of the present invention is ferroferric oxide magnetic microspheres, and the adsorbent as a whole is magnetic, which can achieve rapid solid-liquid phase magnetic separation, improve the sample purification efficiency, the titanium dioxide component in the material can effectively adsorb the phospholipid components in the plasma, and the quaternary amine-carbon 18 bifunctionalized oligomeric polymer component can effectively adsorb impurities such as fat and inorganic anions in the plasma, thereby effectively reducing the matrix interference effect in the sample detection process, so as to achieve the purpose of quickly and accurately detecting the concentration of trace phenylglyoxylic acid and mandelic acid in the plasma sample.

The invention discloses a remote sensing crop drawing-oriented systematic classification sample purification and expansion method. The method comprises the steps of open source remote sensing crop classification product data set acquisition, data preprocessing and availability condition analysis, sample purification based on a multi-source data space-time filtering algorithm, and sample expansion in combination with remote sensing feature enhancement and self-supervised deep learning. According to the method, high-quality crop samples which are high in representativeness, sufficient in number and balanced in space and category distribution can be efficiently obtained on the basis of multi-source crop classification product data, sample data support is provided for remote sensing crop classification research and application, and compared with traditional crop sample obtaining methods such as field collection and visual interpretation, the method has the advantage that the method is more efficient. The method is more efficient, objective and automatic, compared with an existing sample generation method based on simple processing of remote sensing crop classification product data, the method is more comprehensive, systematic and universal, and the generated samples have more advantages in the aspects of accuracy, representativeness and balance.

The invention relates to a UPLC-MS / MS (Ultra Performance Liquid Chromatography-Mass Spectrometry / Mass Spectrometry) detection method for simultaneously determining 150 stimulant substances in cosmetics, and belongs to the technical field of stimulant detection. According to the detection method, a solid-phase extraction and QuECHERS combined pretreatment technology is adopted, firstly, an acetonitrile ultrasonic extraction mode in a QuECHERS method is adopted, secondly, a matrix is purified in a solid-phase extraction mode, an extraction tube adopts a filter type solid-phase extraction column, namely an Agilent Captiva EMR-Lipid filter column, different from a traditional HLB solid-phase extraction column, the filter column does not need to be activated and balanced, and the detection method is simple and convenient to operate. Gravity self-elution can be achieved in the sample purification process, and only 20% of pure water needs to be added into an extracting solution to achieve the purpose of activating a filtering column; and water can also be used as a dispersing agent and an impurity removing agent at the same time, so that impurities dissolved in water can be adsorbed while the sample is dispersed. The detection method provided by the invention can realize LC-MS / MS determination of 150 stimulant substances in cosmetics under the condition of simultaneously satisfying a pretreatment method for extracting 150 stimulant substances in cosmetics.

The invention relates to the technical field of preparation of quality control products, in particular to a preparation method of a quality control product based on multiple substances. The method comprises the following steps: acquiring biomarkers corresponding to different individuals and carrying out substance sample purification treatment to obtain biological substance component samples corresponding to the biomarkers; obtaining target detection items, and carrying out on-demand combination standardized proportioning and substance mixing preparation to obtain a biomass control mixed solution corresponding to each target detection item; carrying out freeze-drying treatment on the biomass control product mixed solution corresponding to each target detection item, recording in real time, and carrying out freeze-drying activity optimization control preparation and quality control product rehydration treatment by adding a stability enhancer to obtain a quality control product rehydration solution corresponding to each target detection item; and sub-packaging the quality control product rehydration solution into standard kits corresponding to each target detection item, and executing corresponding experimental detection operation. The accuracy and reliability of detection and preparation of the quality control product can be improved.

The invention relates to a high-purity and high-yield exosome sample purification and separation method and system, and belongs to the technical field of exosome extraction. Comprising the following steps: sample complexity determination: determining the complexity of a sample according to a sample purification time length and a purification volume; sample type division: dividing sample types according to the complexity of the samples; and purification mode determination: selecting a corresponding sample purification mode according to the sample type. According to the purification product requirements, the sample complexity of sample loading is judged according to the purification duration of the Exodus-T, the purification stage number of the Exodus-T sample is automatically fed back and automatically selected, and the Exodus-T product is subjected to ultracentrifugation to obtain the final product, so that the problems that the purification purity of different types of large-volume exosome samples is poor, the purification time is short and the like in the traditional technology are solved. The method is single in applicability and low in yield.

The invention discloses a method for quantitatively determining residual quantity of afidopyropen and metabolite M440I007 of afidopyropen in broken tea soup by PVPP (Polyvinyl Pyrrolidone) combined with Cleanert TPT (Triphenyltin) solid-phase extraction. The method comprises the steps of sample extraction, sample purification, UPLC-MS / MS (Ultra Performance Liquid Chromatography-Mass Spectrometry / Mass Spectrometry) determination, blank test, result calculation and expression, judgment and the like. According to the method, firstly, a detection sample is purified through PVPP solid-phase dispersion and a Cleanert TPT solid-phase extraction column, and co-leaching substances which interfere with target object detection in the broken tea soup can be effectively purified; secondly, on the basis, specific UPLC-MS / MS (Ultra Performance Liquid Chromatography-Mass Spectrometry / Mass Spectrometry) detection conditions aiming at a target object are adopted; and finally, the extraction efficiency is high, the purification effect is excellent, and the detection requirements in the aspects of recovery rate, detection limit, precision and the like can be met.

The present invention discloses a method for quantitatively determining the residues of bipropionate and its metabolite M440I007 in broken tea infusion by PVPP combined with Cleanert TPT solid-phase extraction, which includes steps such as sample extraction, sample purification, UPLC-MS / MS determination, blank test, result calculation and expression, and judgment. First of all, the present invention purifies the test sample through the solid-phase dispersion of PVPP and the Cleanert TPT solid-phase extraction column, which can effectively purify the co-extracted substances that interfere with the detection of the target substance in broken tea infusion; secondly, on this basis, the present invention adopts specific UPLC-MS / MS detection conditions for the target substance; finally, it not only has high extraction efficiency and excellent purification effect, but also can meet the detection requirements in terms of recovery rate, detection limit and precision.

To provide a system and a method for measuring the product quality attribute of a sample including a recovered sample from a continuous biological manufacturing system.SOLUTION: A system 100 for measuring the product quality attribute of an analyte of a biological sample includes a first flow control device 106, a sample purification device 108, a first sample analyzer 114a, second sample analyzers 114b, 114c, 114d, a second flow control device 110, a detector 116, and a control unit 122. The first sample analyzer 114a includes a first chromatography column. During operation of the system, the control unit 122 adjusts the arrangement of the second flow control device 110 to direct a portion of the biological sample to one of the first and second sample analyzers. The product quality attribute of the analyte of the biological sample is determined on the basis of the analysis of the portion of the biological sample conducted by one of the first and second sample analyzers.SELECTED DRAWING: Figure 1

The present invention relates to the technical field of pesticide detection, and specifically relates to a method for determining the pesticide residue content in tea, including sample pretreatment, sample purification, matrix calibration, and correction of the detection results based on a calibration curve. By optimizing the sample pretreatment, purification, and detection steps, this method can effectively reduce the matrix effect of tea and improve the accuracy and reliability of the determination of pesticide residue content in tea. At the same time, the present invention overcomes the problem that glyphosate and glufosinate cannot be jointly tested with other pesticides, and improves the convenience of pesticide detection while ensuring the accuracy of pesticide detection. The method described in the present invention has a reasonable operation process, can quickly and accurately determine the pesticide residue content in tea, and provides strong technical support for the supervision of tea quality and safety, quality control, and consumer health protection.

The butylene determination pretreatment device provided by the invention comprises: a sample introduction system, wherein the sample introduction system comprises a steel cylinder for containing a sample and a pretreatment sample introduction device communicated with the steel cylinder; the pretreatment sampling device is located at the front end of the waste gas treatment system, and the waste gas treatment system is connected with the pretreatment sampling device through a switching valve and a pipeline; the detection system comprises a gas chromatograph and a gas source which are connected, and the pretreatment sampling device is connected with the detection system; the pretreatment sampling device comprises a purification module, a heating module and a pressure reduction module which are connected, the purification module is connected with the steel cylinder, the heating module is arranged on the right side of the purification module, the pressure reduction module is arranged on the right side of the heating module, and the pressure reduction module is connected with the waste gas treatment system and the gas chromatograph; the waste gas treatment system comprises an adsorption device, a gas collection part and a flow control part; non-uniform sample gasification is avoided through the pretreatment sampling device, the obtained gas analysis result is good in repeatability, and a waste gas treatment device is added to complete sample purification.

A syringe-like sample preparation device is disclosed. The syringe-like sample preparation device comprises a syringe body having a proximate end, a distal end and a syringe body cavity between the proximate end and the distal end; a plunger located at the proximate end of the syringe body and movable along the syringe body cavity; and an overflow tube at the distal end of the syringe body and extending into the body cavity of the syringe body; and a sample purification tip at the distal end of the syringe body, wherein the sample purification tip comprises a sample binding matrix.

The present invention discloses an experimental method for continuously monitoring whether the precipitated asphaltene in high-temperature crude oil redissolves, which relates to the field of oil and gas resource development. The specific steps are as follows: First, through crude oil purification and asphaltene sample purification, relatively clean crude oil without impurities and relatively pure asphaltene are obtained; then the purified asphaltene is wrapped with a sieve mesh and suspended in a container filled with crude oil. A magnetic rotor is placed in the container, the rotation speed is set to 10 r / s, and the temperature of the constant temperature water bath is set to 60 °C; finally, samples are taken every 2 days in the first 10 days, and then every 5 days thereafter. Each time 5 g of samples are taken for continuous separation experiments to obtain the asphaltene content in the crude oil, and multiple groups are measured to observe the dynamic changes of the asphaltene content to judge whether the asphaltene redissolves.

The invention discloses a method for extracting high-purity quebracho alcohol from seabuckthorn leaves, comprising the following steps: (1) extraction: crushing and sieving dried seabuckthorn leaves, extracting with ethanol, collecting extract and filter residue, and concentrating the extract under reduced pressure to obtain sample 1; (2) water precipitation: adding purified water to sample 1, heating and dissolving, filtering, and collecting the filtrate; (3) decolorization: passing the filtrate through an ADS-17 anion exchange resin column, collecting the decolorized sample effluent and performing reduced pressure drying to obtain sample 2; (4) preliminary purification: dissolving sample 2 with ethanol, evaporating the solvent at low temperature, collecting the dry solid, and obtaining sample 3; (5) purification: dissolving and filtering sample 3, pouring it into a preparative liquid chromatograph for gradient elution, collecting the fraction flowing out in a specific time period and drying it, and obtaining quebracho alcohol crystals; the method of the invention is simple and easy to implement, and quebracho alcohol with a purity of ≥99.5% can be obtained by collecting the fraction in a specific time period with a preparative liquid chromatograph.

The application relates to the technical field of chemical analysis, and discloses a method for extracting, separating and detecting N-nitrosamine, which comprises the following steps: a sample obtaining step; a sample purification step; a preparation and extraction solution step; an extraction solution separation step; an extraction solution concentration step; a chromatographic detection and quantitative analysis step; the sample to be detected is crushed to a size of 0.01g of powder, and the powder is mixed with sodium chloride, barium hydroxide and water. In the application, the sample to be detected is subjected to a step-by-step sample treatment process before detection, so that the interference factors of the sample to be detected can be effectively reduced, the influence on the detection instrument is reduced, the detection result and detection data are more accurate, and when the application is detected, a large amount of sample does not need to be weighed like in the traditional detection mode, the overall operation is more convenient, and the detection demand of N-nitrosamine in smoked food is met.

This application discloses a sample purification method and apparatus, a device, and a medium, and belongs to the technical field of artificial intelligence. The method includes: acquiring an adversarial sample, the adversarial sample including an adversarial image and text; acquiring a noisy image obtained by adding first noise to the adversarial image; determining a first correlation and a second correlation; and adding second noise to the adversarial image based on the first correlation and the second correlation to purify the adversarial image to obtain a purified image.

The invention discloses a method for determining the content of recombinant human-like collagen, relates to the technical field of detection of the content of recombinant human-like collagen, and can be used for detecting and analyzing the content of human-like collagen in fermentation thallus samples, purification process intermediate products and stock solutions. For a zymophyte sample, content analysis is carried out through a flow mode of analysis method development-feasibility analysis (pretreatment and recovery rate analysis)-standard curve establishment-sample analysis and detection; for an intermediate product and a stock solution sample in the purification process, content analysis is carried out through a process mode of'method development-feasibility analysis (recovery rate analysis)-standard curve establishment-sample analysis and detection '. According to the method, the purity of the target protein in the fermentation thalli can be remarkably improved through pretreatment, the loss of a chromatographic column is reduced, the universality is high, a research thought and a technical means are provided for accurate quantitative analysis of the content of the target protein in large-scale production of recombinant protein, and the method has wide application value.

The invention provides a sample purification and separation device for food detection and a use method, and relates to the technical field of food detection.The sample purification and separation device comprises a fixed bottom plate, and two positioning supporting plates are installed on the front side of the top of the fixed bottom plate; a supporting vertical plate is mounted on the right side of the fixed bottom plate; a guide groove is formed in the side face of the supporting vertical plate. A supporting vertical plate is mounted on the left side of the fixed bottom plate; limiting blocks are installed on the two sides of the top of the supporting vertical plate, and a rotating carrying plate is rotationally installed in the middle of the top of the supporting vertical plate. The two sides of the rotary carrying plate are rotationally installed on the outer sides of the two limiting blocks correspondingly. The flow guide slideway and the flow guide cover are used for guiding the flow of a poured food sample, so that the pouring fall is reduced, the time for separating the food sample by the separation membrane is shortened, and the problem that solids in food are mixed with liquid again due to the large fall in the pouring process when the sample is in a standing separation state in a sample test tube is solved.

The utility model discloses a QuECHERs sample purification column, and relates to the technical field of QuECHERs sample purification, the QuECHERs sample purification column comprises a main column body and a supporting assembly, the upper end of the main column body is connected with a sealing column cover, the supporting assembly is arranged outside the main column body, and the supporting assembly comprises a vertical sliding groove, a transverse sliding groove, a limiting sliding block, a mounting ring and a supporting column rod, transverse sliding grooves are formed in the two ends of the exterior of each vertical sliding groove, limiting sliding blocks are connected into the vertical sliding grooves, mounting rings are arranged outside the limiting sliding blocks, supporting column rods are additionally arranged on the two sides of the exterior of each mounting ring, and a purification assembly is arranged in the main column body and comprises a copper catalyst layer, a molecular sieve layer, an activated carbon layer and a microfiltration membrane layer. A molecular sieve layer is arranged below the copper catalyst layer, and an activated carbon layer is arranged below the molecular sieve layer. According to the QuECHERs sample purification column, the purification column can be stably and vertically placed on a table top, and the flexibility and motility of the purification column in the using process are improved.

The present invention discloses a method for high-purity sorting and capturing of rare cells. The method for high-purity sorting and capturing of rare cells in the present invention first spreads the cells, then locates and determines the position of the target cells, then uses a probe to expel the buffer outward to disperse the non-target cells around the target cells, and then uses hydrodynamic force to capture the target cells without damage. Finally, the target cells can be released into a receiving container to achieve high-purity sorting and capturing of rare cells. The device used in the method of the present invention has a simple structure and is easy to operate. The method has the advantages of not requiring repeated large-scale dilution, fast spreading speed of cell samples, high sorting purity of target cells, low omission rate, in-situ capture, and good repeatability, and is applicable to fields such as single-cell screening and analysis, single-cell culture, single-cell drug screening, single-molecule analysis, gene screening, sample purification, antibody screening, and microbial research.

A container used for purification of a sample, the container simplifying works for checking a pipe for introduction and a pipe for discharge, is provided. A container is included in a purification apparatus that purifies a specific sample. In the container, the mixed sample is accommodated. The container has a shape extending in an axial direction. The container includes an introduction port for introduction into the container, of a decomposition solution for treatment of a contaminant contained in the mixed sample, a heavy solution, or a rinse solution for cleaning of the container, and a first discharge port for discharge of a waste solution from the container. When the container is viewed from the axial direction, the introduction port and the first discharge port are arranged at positions displaced toward one end position on the outer circumferential surface of the container.

This application discloses a method, system, device, and medium for restorable image protection based on a diffusion model. The method obtains an image to be protected and preset watermark information; constructs an adversarial sample generation module based on projected gradient descent, and constructs an adversarial sample purification module based on the diffusion model, including a watermark embedding submodule, wherein the watermark embedding submodule is constructed based on a decoder of a latent diffusion model; inputs the image to be protected into the adversarial sample generation module to generate an adversarial sample image; inputs the adversarial sample image into the adversarial sample purification module for denoising to obtain a restored image, which is the restored image to be protected; and adds the preset watermark information to the restored image through the watermark embedding submodule to obtain a restored image containing the watermark. This application can restore images while ensuring image quality and better protecting image privacy.

The present application relates to the technical field of artificial intelligence, and discloses a sample purification method and apparatus, a device, and a medium. The method comprises: acquiring an adversarial sample, wherein the adversarial sample comprises an adversarial image and a text; acquiring a noise-added image obtained by adding first noise to the adversarial image; determining a first correlation and a second correlation; and adding second noise to the adversarial image on the basis of the first correlation and the second correlation, so as to purify the adversarial image to obtain a purified image. The present application uses the first correlation, i.e., cross-modal attention distribution, as guidance to implement purification by adding noise to the adversarial image. The purification method not only processes the adversarial image, but also optimizes the cross-modal attention distribution mechanism itself. A visual language model can obtain a correct prediction result on the basis of the purified image, and the purification method enhances the robustness of the visual language model.

Sample purification systems include a particle extraction assembly having a mixing compartment and a settling compartment. A biological sample is mixed with two liquid phases formulated to effectuate transfer of a biological molecule into a first phase and particulate contaminants into a second phase. The first phase includes a solubilizing salt, the second phase includes an organic molecule, and the mixture can have little or no monoatomic salt or dextran. The molecule-containing first phase can be optionally concentrated without also concentrating the particulate contaminants and introduced into a multi-stage liquid-liquid extractor, by which the biological molecule or molecular contaminants are extracted from the first phase into a third phase, thereby purifying the molecule away from contaminants. The extracted sample can be further purified through a series of processing steps. The system can be run in continuously mode to maintain sterility of the sample.

The application provides a method for detecting biochemical oxygen demand in sewage, and belongs to the field of oxygen demand detection. The method comprises the following steps: forming a fluorine-containing organosilicon nano coating on the electrode surface of a dissolved oxygen sensor of a full-automatic BOD5 analyzer to obtain a fluorine-silicon modified dissolved oxygen sensor; pretreating the sewage to be detected in an adsorption column composed of modified activated carbon and porous silica gel to obtain a pretreated water sample; fixing bacillus subtilis on a porous carrier and then putting the carrier into the pretreated water sample to obtain an inoculated water sample; measuring the initial dissolved oxygen of the inoculated water sample and the end-point dissolved oxygen after 5-day culture; and obtaining the five-day biochemical oxygen demand in the sewage according to the initial dissolved oxygen and the end-point dissolved oxygen. Through the four-level collaborative system of "sensor anti-interference optimization, sample purification and enrichment, microbial reaction standardization and accurate signal acquisition", the application systematically eliminates the error sources in the traditional BOD5 detection, and realizes the accurate measurement of the organic matter pollution level in complex sewage.

The utility model belongs to the technical field of ion chromatographs, and particularly relates to an online sample purification device which comprises a four-way valve and a feeding pipe, the feeding pipe is fixedly connected to a valve port at the left end of the four-way valve, the four-way valve is in signal connection with a controller, and the outer end of the four-way valve is connected with a purification mechanism. According to the on-line sample purification device, when a six-way valve in an ion chromatograph conveys a to-be-detected sample to a chromatographic column, the to-be-detected sample firstly enters the four-way valve through the feeding pipe, then enters the communicated connecting pipe and then enters the purification cylinder to react with resin in the purification cylinder, ions which do not need to be detected in the sample are adsorbed, and then the to-be-detected sample is purified. The problems that when the ion chromatograph analyzes components to be detected, fine particulate matter in a sample blocks the interiors of pipelines and accessories, liquid leakage of a system is caused, parts are damaged, organic matter and heavy metal matter in the sample are prevented from being adsorbed on the chromatographic column and an ion exchange membrane, and the service life of consumables is affected are solved.