31 results about "Sample purification" patented technology

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.

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.

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 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.

The invention discloses a multi-stage chromatographic purification combined cryoelectron microscope sample preparation optimization method and system, and belongs to the technical field of cryoelectron microscope sample preparation. A sample purification time chain is constructed through biological information analysis, a time-purity coordinate system is established based on the time chain, a fluctuation curve is generated, the purification correlation degree between the overall trend index and two adjacent days is calculated, and purification conditions and sample preparation parameters are adjusted according to the positive and negative correlation degree. Data driving is used for replacing experience operation, time correlation of the purification process is captured, collaborative optimization of purification and sample preparation is achieved, the sample purity stability and sample preparation efficiency are effectively improved, and the problems that an existing method depends on experience, lacks dynamic adjustment and is poor in collaboration are solved. The method is suitable for efficient purification and optimization of biomacromolecule (such as protein and nucleic acid compounds) cryoelectron microscope sample preparation.

The present invention relates to a method for purifying labeled glycans by electroosmotic flow assisted capillary zone electrophoresis, or a method for on-line electrokinetic purification of a labeled reaction mixture of labeled glycans and free labeling agent, wherein the method is performed in a separation mode, wherein the free labeling agent and the labeled glycans migrate in opposite directions, thereby separating the free labeling agent from the glycans. The method according to the present invention allows for a purification-free capillary zone electrophoresis analysis of labeled glycans. Furthermore, the method allows for separation in a shorter analysis time without the need for a sample purification step.

The invention relates to a generalized zero sample fault diagnosis method driven by a diffused Schrodinger bridge and sample purification, and belongs to the field of rotating machinery fault diagnosis. The method comprises the following steps: S1, collecting fault data; s2, carrying out signal analysis on the visible classes to obtain labels and distribution information, and constructing corresponding semantic prototypes at the same time; s3, the labels and the distribution information are input into a designed AGCDSB model, and unseen classes of different distributions are generated; s4, BRP is used for purifying the unseen species; s5, dividing the test samples into visible and non-visible classes through a domain separation mechanism; s6, using a visible class classifier to identify the fault which is predicted to be visible class; s7, aligning the fault semantics with the visible features; s8, extracting unseen class fault features, and correcting an unseen class fault prototype in combination with a prototype clustering matching technology; and S9, inferring by using nearest neighbor estimation and a correction prototype to obtain unseen class labels.

The application discloses a method for simultaneously detecting retinoids and lipid-soluble vitamin metabolic marker groups in biological samples and matching reagents. The application is based on magnetic bead solid-phase extraction technology, significantly improves sample purification effect, and reduces matrix interference; in combination with a high-aqueous-phase reversed-phase chromatography system and a positive-negative ion switching multi-reaction monitoring mode, simultaneous separation and detection of seven retinoid molecules and a full spectrum of lipid-soluble vitamins are realized. The method has high sensitivity, strong specificity and wide detection range, and for the first time realizes one-stop analysis across species and sample types, thereby providing reliable platform support for clinical and scientific research applications.

This application relates to the field of model training technology, specifically to a method and apparatus for extracting abnormal driving state samples. The method includes acquiring normal driving state samples and mixed driving state samples; extracting features from the normal driving state samples and mixed driving state samples respectively to obtain normal feature vectors and mixed feature vectors; determining a similarity score for each mixed driving state sample based on the distance between the mixed feature vector and the normal feature vector; determining a threshold at the boundary between normal and abnormal driving states based on the similarity score; and classifying the mixed driving state samples according to the threshold to obtain normal driving state samples and abnormal driving state samples. This application separates normal driving state samples and abnormal driving state samples from mixed driving state samples, achieving sample purification.

A technique is provided that shortens the setup time for analytical methods by pretreating samples using SPE columns before analysis in the analytical unit. In the analytical system, a first flow path (21) includes one or more solid-phase separation columns. Samples from an autosampler (10) are introduced into either the first flow path (21) or the second flow path (22). The samples are then conveyed from either the first flow path (21) or the second flow path (22) via a switching valve (30) to the analytical column and detector (50) within the column oven (40). Sample purification is performed in the first flow path (21), while it is not performed in the second flow path (22).

The invention discloses a filter membrane with an MOF derived porous structure, a preparation method, a mycotoxin separation and extraction device and a separation and extraction method, and relates to the technical field of mycotoxin pretreatment. A porous functional layer is constructed on the surface of a filter membrane substrate and in pore channels through a controlled conversion process, the porous functional layer has a porous structure containing a Zr-O-C network, microporous channels are reserved, polar functional groups are remained on the surface, and the MOF-derived porous structure filter membrane which does not contain a complete MOF crystal structure is formed. The membrane is used in a circulation type working mode, a target analyte can quickly pass through the membrane layer along with fluid, and the matrix effect can be effectively reduced. The membrane material can realize rapid and simplified sample purification on the premise of ensuring high recovery rate of a target object. The method has the advantages of simple preparation process, stable structure, low flow resistance, wide applicable solvent range and the like, and is particularly suitable for rapid pretreatment analysis of trace micromolecule pollutants in complex food and agricultural product matrixes.

The utility model relates to an efficient purification device based on a QuEChERS method, and belongs to the technical field of sample pretreatment, the efficient purification device comprises a purification pipe filled with an adsorbent, the bottom of the purification pipe is provided with a microfiltration membrane, and the purification pipe is detachably provided with a piston rod. The method has the advantage of improving the sample purification efficiency.

The invention discloses a multi-mode unlearnable sample purification method and device and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the steps of obtaining a multi-modal unlearnable sample set, and performing data preprocessing on an image sample and a text sample to obtain a purified image sample and a purified text sample; and using the purified image samples and text samples to carry out comparative learning training on the multi-modal model, and adding intra-modal dispersion loss on the basis of comparative loss so as to improve the purification effect of the method. According to the method, through independent processing of the two modes, false connection between image noise and text trigger words is removed, and a model is forced to learn real connection between the modes; according to the method, the intra-modal dispersion loss is added after the original comparison loss, so that two feature vectors which are too close to each other in one modal are pushed away, the problem of modal collapse is relieved, and the purification effect of the unlearnable sample is improved.

This invention relates to the field of analytical instruments and automated control technology, and discloses an AI-driven real-time sample purification and delivery system. The system includes: an online purification module for providing a mobile phase and introducing the sample; a dynamic separation core unit connected to the output flow path of the online purification module, wherein the dynamic separation core unit contains a separation field generator for applying a spatially adjustable physical field along the axial direction of the dynamic separation core unit; an electrical control switching and interface module connected to the output flow path of the dynamic separation core unit; and a multimodal prediction and composite control AI module. The dynamic separation core unit also includes a linear scanning spectral probe configured to acquire spatiotemporal spectral data within the dynamic separation core unit in real time. This invention achieves high-purity, high-recovery adaptive online purification through real-time prediction by the AI ​​module and composite control of the mobile phase and spatial separation field.

The application relates to the technical field of purification filtration, and discloses a sample purification and filtration device and method for algal plant research, which comprises a filter box, a water filtering and drying mechanism is arranged in the filter box, the water filtering and drying mechanism comprises a water filtering cavity arranged in the filter box, a water filtering annular gear rack is rotationally connected to the end wall of the water filtering cavity, a water filtering electric push rod is fixedly connected to the inner side surface of the water filtering annular gear rack, centrifugal filtration can be realized on the algal plants, the water in the cleaned algal plants can be filtered out, the algal plants can be dried, sample preparation is facilitated, and research is facilitated; the algal plants can be cleaned, repeated cleaning can be realized, the cleaned water can be detected to check whether the cleaning is complete, and the cleaning efficiency is relatively high; other impurities in the algal plants can be removed, the purity of the filtration and purification is improved, and the generated wastewater can be collected.

The present application relates to the technical field of biological detection, and particularly relates to a natural steroidal estrogen extraction and detection method based on multi-mechanism synergistic adsorption; the method provided by the present application comprises steps of sample extraction, dispersion adsorption, magnetic separation, elution, elution and chromatographic detection; in the sample purification process, the adsorption material is dispersed in the sample solution, so that the adsorption material is fully contacted with the target, the synergistic enrichment of different steroidal estrogens is realized through multiple action mechanisms, and the influence of interfering substances in the complex matrix is reduced in the adsorption process; after the adsorption is completed, the rapid separation is realized through the external magnetic field, and after elution, the sample enters the chromatographic analysis stage; the present application can realize the synchronous extraction and detection of multiple natural steroidal estrogens, and has the advantages of good selectivity, strong anti-matrix interference ability and high detection stability.

This invention relates to the field of chemical analysis, specifically disclosing a method for detecting hydroxypolycyclic aromatic hydrocarbons (HPAs) in urine and its application. The method involves sampling and hydrolysis, followed by extraction of the crude extract using three-phase electrochemical membrane extraction (ECME). After extraction, high-performance liquid chromatography (HPLC) is used to detect the concentration of HPAs in the receiving phase. This invention simplifies the traditional pretreatment process for detecting HPAs in urine, simultaneously performing extraction separation, concentration enrichment, and purification using three-phase EME. The detection method provided by this invention features strong sample purification capabilities, fast analysis speed, high enrichment factor, high sensitivity, low detection limit, and environmental friendliness, making it more suitable for routine detection and analysis and showing broad application prospects in the detection field.

Systems for measuring a product quality attribute of an analyte of a biological sample include a first flow control device, a sample purification device, a second flow control device in fluid communication with first and second sample analyzers, where the first sample analyzer includes a first chromatography column, and a control unit configured so that during operation of the system, the control unit adjusts a configuration of the second flow control device to direct a portion of the biological sample to one of the first and second sample analyzers, and determines a product quality attribute of an analyte of the biological sample based on an analysis of the portion of the biological sample by the one of the first and second sample analyzers.

The invention relates to the technical field of machine learning and information processing, in particular to a data classification method and system based on spy sample implantation and dynamic threshold inference. The method comprises the following steps: firstly, selecting a sample with structural representativeness as a spy sample through clustering analysis, and injecting the spy sample into an unmarked sample set for training; the key point is that the system adaptively deduces a dynamic threshold value by utilizing the minimum confidence degree of spy samples in a classifier, and accordingly, unmarked samples are divided into reliable negative examples and candidate positive examples. And then, through multi-round iteration, re-training the classifier and carrying out sample purification, continuously optimizing a classification boundary until a sample division result is stable. The method does not depend on large-scale labeling data, effectively solves the problem of boundary uncertainty in positive example label-free learning, and has high accuracy and excellent generalization performance.

The application discloses a kind of transformer substation oil-filled equipment insulating oil gas content rapid diagnosis method and device, it is related to electric power facility safety monitoring technical field, the method includes four steps of online sampling and pretreatment, multimodal synchronous perception, three-dimensional dynamic feature matrix fusion diagnosis, oil sample purification and closed loop return;Subsequently, three-dimensional feature matrix is constructed, weight coefficient is adjusted dynamically in combination with equipment working condition, and hierarchical diagnosis is quickly completed;Finally, after temperature adjustment, insulating oil returns to the body of equipment to form closed loop;The device is closed loop online monitoring system, including online sampling pretreatment unit, multimodal synchronous perception unit, data diagnosis unit and oil sample purification closed loop return unit;Real-time continuous monitoring of insulating oil gas content is realized, diagnosis accuracy is high, without manual intervention, can effectively identify early latent fault such as medium-low temperature overheating, partial discharge, and provide reliable technical support for safe and stable operation of oil-filled equipment.

The application relates to a high-purity high-yield exosome sample purification and separation method and system, and belongs to the technical field of exosome extraction. The application comprises the following steps: sample complexity determination, determining the complexity of a sample according to the sample purification duration and the purification volume; sample type division, dividing the sample type according to the complexity of the sample; and purification mode determination, selecting a corresponding sample purification mode according to the sample type. According to the product demand of purification, the application judges the sample complexity of the sample on the Exodus-T according to the purification duration of the Exodus-T, automatically feeds back and automatically selects the sample purification series of the Exodus-T, and carries out ultracentrifugation on the product of the Exodus-T to obtain the final product, so that the technical problems of low purity, single method applicability and low yield of traditional technology in the purification of different types of large-volume exosome samples are solved.

This utility model belongs to the field of sample pretreatment technology, specifically an automatic magnetic bead purifier, including a housing. Inside the housing is a movable frame with several magnetic rods fixedly mounted on it. Below the magnetic rods is a loading tray with multiple purification well groups. Each purification well group has its pores filled with a corresponding liquid. Each magnetic rod corresponds to one purification well group. The magnetic rods sequentially enter the pores of each purification well group, purifying the sample during this process. This utility model effectively improves the efficiency of sample purification. This magnetic bead purifier uses magnetic force to separate magnetic beads from adsorbed molecules, thereby achieving the purpose of separation and purification. It achieves reliable high recovery rates and consistent performance in a series of complex samples.

The present application relates to a kind of UPLC-MS / MS detection method for simultaneously determining 150 kinds of stimulant substances in cosmetics, belong to the technical field of stimulant detection.The detection method of the present application uses the pretreatment technology of solid phase extraction and QuECHERS, first, using the method of QuECHERS acetonitrile ultrasonic extraction, second, using the form of solid phase extraction to purify matrix, extraction tube selects filter type solid phase extraction column: Agilent Captiva EMR-Lipid filter column, unlike traditional HLB solid phase extraction column, the filter column does not need to activate and balance, can be self-eluted in the process of sample purification by gravity, and only need to add 20% pure water in the extraction liquid to achieve the purpose of activating filter column;While water can also be used as dispersing agent and impurity remover, the sample is dispersed while the impurities dissolved in water are also adsorbed.The detection method of the present application can meet the conditions of the pretreatment method of 150 kinds of stimulant substances in cosmetics under the condition of simultaneously extracting 150 kinds of stimulant substances in cosmetics, and realize the LC-MS / MS determination of 150 kinds of stimulant substances in cosmetics.

The invention provides a traditional Chinese medicine decoction piece detection system based on a near infrared spectrometer, and the system comprises the following function modules: a sampling and reference construction module which carries out the sampling at a circulation node, collects a near infrared spectrum, and generates an initial group quality reference vector after preprocessing and feature extraction; the similarity analysis and purification module is used for calculating a similarity index and a control threshold value of the sampling unit, iteratively executing sample purification and obtaining a purified group quality reference vector and a similarity index control threshold value; the risk assessment module is used for collecting spectrums of subsequent independent packaging units, constructing feature vectors and calculating individual quality risk indexes based on the purified benchmark; and the grading processing module divides risk grades according to the risk indexes and generates a processing instruction. According to the method, dynamic purification and risk quantitative evaluation of the quality standard are realized, abnormal samples in batches can be effectively identified, accurate grading treatment is realized, and the automation degree and reliability of quality control of the traditional Chinese medicine decoction pieces are improved.

The application relates to the technical field of sample purification treatment, in particular to a sample purification mixing mechanism for food detection, which comprises an electrolysis box, a purification box body, a water inlet pipe, a precision filter plate, a filter plate cleaning assembly and a stirring assembly, the electrolysis box is connected to the top of the purification box body, the water inlet pipe is fixedly connected to the outer side of the purification box body, the precision filter plate is connected to the bottom of the purification box body, and the filter plate cleaning assembly is arranged at the upper end of the precision filter plate. The sample purification mixing mechanism for food detection can remove harmful substances in liquid food and generate precipitates through oxidation reaction and reduction reaction of the liquid food with the single-polarity plates connected to the bottom of the electrolysis box and the addition of a precipitant, and the oriented flowability of the liquid food can be disturbed under the gear transmission, the guide shaft can drive the stirring blades on the surface to rotate reversely along the rotation direction of the driving shaft, so that the electrolytic purification rate is accelerated.

Chip laboratory cartridge (1), preferably for single use, in particular for a modular medical analysis system, comprising a layer structure (25) with a pneumatic layer (2) and a fluidic layer (3), which are arranged in a layered arrangement in a plane (E) and separated by an elastic membrane (4), wherein the pneumatic layer (2) and the fluidic layer (3) form a first cavity (5a), which is formed into a first part (6) in the pneumatic layer (2) and into a second part (7) in the fluidic layer (3), wherein a first sample chamber (8a), bounded by the elastic membrane (4), is formed in the first cavity (5a), which is fluidly connected to a first fluid channel (19) and a second fluid channel (20) formed in the fluidic layer (3), wherein a liquid is introduced into the first sample chamber (8a) by means of the first fluid channel (19) and / or the second fluid channel (20). can be initiatedwherein the pneumatic layer (2) has a pneumatic channel (18) by means of which the first part (6) of the first cavity (5a) can be pressurized with a negative or positive pressure, such that the elastic membrane (4) can be variably displaced in the first cavity (5a), so that the volume of the first sample chamber (8a) can be variably adjusted between a minimum volume and a maximum volume.

The invention discloses a sample purification device and a sample purification method, the sample purification device comprises a purification chip, a liquid injection assembly, an oscillation assembly and a purification loop, the chip comprises a sample pool and a first chamber and a second chamber respectively located at two opposite sides of the sample pool, and the liquid injection assembly is communicated with a material inlet and a material outlet at the bottom of the sample pool and is used for injecting a sample into the sample pool; the sample collector is also used for recovering a target sample in the sample pool; the oscillation assembly can abut against the outer side wall of the first cavity and the outer side wall of the second cavity so as to generate ultrasonic oscillation. The purification loop comprises a filtrate recovery container and a negative pressure driving assembly which are communicated with each other, the filtrate recovery container is respectively communicated with the first chamber and the second chamber, and the negative pressure driving assembly is used for providing negative pressure for the first chamber and the second chamber to realize separation and purification. The sample purification device can quickly and effectively purify a biological sample and improve the purity of the sample; the volume of liquid in the sample pool can be monitored in real time, so that different purification degrees can be selected according to actual requirements.