52 results about "Metabolite analysis" patented technology

The invention relates to a construction method of a metabolic syndrome phlegm syndrome lipid metabolism characteristic diagnosis model. The construction method comprises the following steps: S1, acquiring a serum sample; s2, carrying out lipid metabolite analysis through a full-quantitative lipidomics formula; s3, carrying out primary screening on differential metabolites; s4, optimizing the characteristic indexes by using a random forest algorithm and stepwise regression; and S5, constructing a differential metabolite diagnosis model through Logistic regression analysis. By analyzing differential lipid metabolites of patients with MetS phlegm syndromes and non-phlegm syndromes, the invention reveals that abnormal accumulation of lipid and lipid metabolites may be the core pathological parenchyma of MetS phlegm syndromes. By integrating lipid metabonomics data, using a random forest algorithm, stepwise regression and other methods to screen feature difference lipid metabolites and construct a MetS phlegm syndrome specific diagnosis model, a novel combined biomarker and evidence-based basis are provided for early diagnosis of MetS phlegm syndromes, and a scientific basis can also be provided for objective diagnosis of traditional Chinese medicine phlegm syndromes.

The invention discloses a screening method of metabolic markers for distinguishing non-colorectal cancer diseases and colorectal cancer and application of the screening method. After a urine sample is treated, high-flux gas chromatography-mass spectrometry (GC-MS) derivatization polar metabolite analysis and liquid chromatography-mass spectrometry (LC-MS) polar metabolite detection are respectively carried out. The method comprises the following steps: sequentially carrying out homogenization treatment on obtained metabonomics data, screening 14 metabolic markers from the metabonomics data by adopting a univariate and multivariate statistical analysis method, and selecting 10, 8 and 4 metabolic markers from the 14 metabolic markers, so that the method also has a relatively good distinguishing effect on non-colorectal cancer diseases and colorectal cancer diseases. The invention discloses a non-invasive, high-accuracy and non-invasive urine metabolite marker combination, which improves the diagnosis and evaluation capability of early patients with colorectal cancer so as to realize early discovery, early diagnosis and early intervention clinically, thereby reducing the morbidity and mortality of the patients with colorectal cancer.

The invention relates to the technical field of embryo culture platforms, in particular to a microfluidic-AI monitoring-metabolism regulation embryo culture platform and a preparation method thereof.The microfluidic-AI monitoring-metabolism regulation embryo culture platform comprises a microfluidic culture system used for achieving embryo culture, metabolite removal and culture medium replacement; the artificial intelligence monitoring system is used for remotely monitoring the embryonic development state in real time and predicting the embryonic development condition; the metabolism regulation and control system is used for feeding back and optimizing culture conditions online according to an artificial intelligence monitoring result and a metabolite analysis result; the intelligent control module is electrically connected with the micro-fluidic culture system, the artificial intelligence monitoring system and the metabolism regulation and control system, and the micro-fluidic culture system can accurately control the culture environment on the micrometer scale, including temperature, pH value and gas composition parameters. The dynamic fluid environment is closer to the in-vivo physiological environment of the embryo. The system can simulate periodic nutrient supply and metabolic waste removal in the uterus, and provides optimal growth conditions for embryos.

The invention discloses a multi-technology combined medication analysis platform of an oligonucleotide drug, which relates to the technical field of drug analysis and is technically characterized by comprising an oligonucleotide drug delivery technology module, a liposome, a polymer nanoparticle or an exosome is selected as a delivery carrier, the surface of the delivery carrier is modified with hydrophilic polyethylene glycol or a targeting ligand, and the oligonucleotide drug delivery technology module is connected with the oligonucleotide drug delivery module. The performance of the material is represented by dynamic light scattering and a transmission electron microscope; the multi-technology platform analysis module integrates RT-qPCR, LC-FL, LC-MS / MS and LC-HRMS technologies, is respectively used for target gene expression quantification, drug distribution tracking, drug principal component quantification and metabolite structure analysis, establishes a cross validation rule, and requires a correlation coefficient R2gt of an LC-MS / MS quantitative result and RT-qPCR expression data; 0.95%, 0.95%; the pharmacokinetic evaluation module constructs a PBPK model to predict human pharmacokinetic parameters, and draws a drug metabolism network diagram in combination with an LC-HRMS metabolite identification result; by integrating various advanced analysis technologies, the problems of low sensitivity, poor specificity and difficult metabolite analysis in the prior art are solved.

The invention relates to the technical field of sheep disease-resistant breeding molecules, in particular to a metabolic marker related to sheep lamb diarrhea and a change approach thereof. Specific metabolites related to the lamb diarrhea of the sheep are screened through related molecular means such as a metabolome sequencing technology, metabolic pathways remarkably related to the lamb diarrhea of the sheep are analyzed, and the metabolic pathways can be used as potential markers of the lamb diarrhea of the sheep. The mechanism of the lamb diarrhea is discussed from the metabolism level, so that a prevention strategy and a treatment basis are provided for the lamb diarrhea.

The present disclosure provides a device that may be used for a range of different assays such as immunoassays, nucleic acid analysis, metabolite analysis, clinical chemistry, and complete blood cell count. The device optionally contains a sample analysis region to analyze the samples processed in the device. The device comprises a top substrate bound to a bottom substrate wherein the top substrate bound to the bottom substrate forms two or more primary zones separated by one or more secondary zones, and wherein the top substrate has an opening in one or more of the primary zones.

A method for processing a metabolite before analysis, the method comprising: a step for supplying a sample to be analyzed to a porous support and holding a metabolite contained in the sample to be analyzed on the porous support; and a step of supplying a vaporized derivatization reagent to the porous support holding the metabolite to derivatize the metabolite.

The invention discloses a sailor nutrition optimization method and device based on metabolism analysis, and the method comprises the steps: obtaining a task type of a sailor in a closed space of a ship, and determining a corresponding task load according to the task type; collecting a biological sample of the crew, and performing metabolite analysis on the biological sample to obtain metabolite data; determining nutritional requirements of the sailors according to the metabolite data and the task load; performing nutrition catering according to nutritional requirements to generate an initial nutrition catering scheme; and optimizing the eating amount of food in the initial nutrition catering scheme to generate a target nutrition catering scheme so as to realize nutrition optimization of the sailors. According to the method, the metabolism data of the sailors are determined through metabolite analysis, the nutritional requirements are determined in combination with the task load, then catering is carried out according to the nutritional requirements, the nutrition catering scheme matched with the sailors task type is generated, the individual metabolism difference of the sailors can be effectively met, the nutrition balance of the sailors is ensured, and the working efficiency is improved.

The invention provides a dried orange peel variety identification method and system based on fingerprints and small molecule metabolites. The method comprises the following steps: constructing a polysaccharide fingerprint of each dried orange peel variety; performing small molecule metabolite analysis on each dried orange peel variety, obtaining UPLC-Q-TOF-MS data according to an analysis result, and screening out a plurality of target small molecule metabolites from all the small molecule metabolites according to the UPLC-Q-TOF-MS data; respectively acquiring peak areas corresponding to each common peak and each target small molecule metabolite, and filling the corresponding peak areas according to the sample numbers and the feature numbers by taking the sample numbers as row names and the feature numbers as column names to obtain a fusion feature matrix; and constructing a dried orange peel variety distinguishing model according to the fusion feature matrix, and inputting the fusion feature matrix of the to-be-identified dried orange peel into the variety distinguishing model to obtain the variety of the to-be-identified dried orange peel. The method can be used for accurately and efficiently identifying the dried orange peel, especially Xinhui dried orange peel, clovershrub and other varieties with similar morphology.

The invention discloses a method for screening an anti-monochamus alternatus clonal pinus massoniana key gene based on genomics as well as an obtained gene and application thereof, and relates to the technical field of plant genetic engineering. The invention discloses a genomics-based method for screening an anti-monochamus alternatus clonal pinus massoniana key gene. The method comprises the following steps: screening a pinus massoniana anti-monochamus alternatus differential gene through a transcriptome; the masson pine anti-monochamus alternatus differential metabolites are screened out through the metabolome; according to a metabolome differential metabolite analysis result and in combination with a transcriptome differential gene analysis result, joint analysis is performed to construct an interaction network diagram, the pinus massoniana anti-monochamus alternatus key gene PmFLS is screened out, an overexpression strain of the pinus massoniana anti-monochamus alternatus key gene PmFLS is constructed, and the pinus massoniana anti-monochamus alternatus key gene PmFLS is obtained. Finally, a transgenic arabidopsis thaliana transgenic line with increased leaf area, advanced bolting time, increased total flavone content and increased FLS enzyme activity is obtained, and powerful support is provided for gene improvement of masson pine.

1. The name of the design product: blood gas analyzer. 2. The use of the design product: the design product is used for blood gas, blood oxygen, electrolyte and metabolite analysis. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a method and a device for analyzing immune metabolism and AD (Alzheimer's Disease) related genes by integrating multiple omics. The method comprises the following steps: acquiring single cell sequencing data of an AD patient; acquiring GWAS data of immune cells and metabolites of the AD patient; screening out an independent single nucleotide polymorphism (SNPS); performing Mendel randomization causal inference to obtain causal-associated immune cell characteristics and metabolite factor characteristics; analyzing the causal-associated immune cells and metabolites, and identifying the immune cells and metabolites which have important influence on AD generation, so as to obtain a metabolic pathway which affects AD; obtaining gene expression data of expression differences of metabolic pathways in different cell populations; performing differential gene analysis to obtain a gene analysis result; and screening out the gene related to the AD disease. According to the method, key biomarkers related to the Alzheimer's disease are identified by using an advanced machine learning technology, and the risk of an individual in disease development is accurately predicted.

The invention relates to the field of metabolite analysis, in particular to a mass spectrometry method for identifying probiotic metabolite. The method comprises the following steps: carrying out normalization processing on peak intensity in collected original mass spectrum data to obtain mass spectrum data; correcting peak intensity in the mass spectrum data, and screening based on the corrected peak intensity to obtain screened mass spectrum data; performing fragment ion peak and isotope peak recognition and combination operation on the screened mass spectrum data to obtain combined mass spectrum data; based on the combined mass spectrum data, identifying the probiotic metabolite, verifying and confirming the probiotic metabolite identification result, and generating a metabolite identification report. The problems that in the signal processing stage, a fragment ion peak and isotope peak recognition and combination method is not fine enough, and misjudgment may be caused are solved; according to a single-dimensional metabolite matching method, the problem that the matching degree is low easily due to the fact that integrated analysis of signal fluctuation and multi-dimensional features is ignored is solved.

The present invention generally relates to the field of metabolite analysis as it applies to compounds, formulations and methods which can be used to detect metabolites such as formaldehyde and methanol. More particularly, the present invention pertains to β-keto amide compounds which are particularly useful as superior and sufficiently chemoselective detection reagent in the detection of metabolites, notable formaldehyde and related compounds, such as methanol. The present invention also pertains to methods for detecting formaldehyde or methanol, as well as to formulations and kits comprising the β-keto amide compounds, and to the use thereof in the detecting formaldehyde or methanol.

The invention belongs to the technical field of electrochemical biosensing, and particularly relates to a membrane-free anti-interference metabolite detection device and a construction method thereof, in particular to a membrane-free anti-interference biosensor based on hydrogen peroxide signal transduction and a construction method thereof. The sensor comprises a working electrode and a reaction layer arranged on the surface of the working electrode, wherein the reaction layer comprises a biological recognition unit for in-situ generation of hydrogen peroxide and a catalysis unit for electrochemical reduction of hydrogen peroxide; the catalytic unit comprises a nitrogen-doped carbon matrix on which at least one of iron (Fe), cobalt (Co) and copper (Cu) in a monatomic form and molybdenum carbide (MoC) nanoparticles are loaded. The sensor disclosed by the invention shows excellent anti-interference capability and detection accuracy in a real human body sample, and can be expanded and applied to various oxidase coupled metabolite detection systems which are generated by depending on hydrogen peroxide, so that a universal sensing platform is provided for non-invasive or minimally invasive metabolite analysis in complex biological fluid.

To attain acceleration in operation of analyzing a metabolite contained in a specimen through spectrometry using a mass spectrometer.SOLUTION: In a metabolite analysis system, a PC for control / processing comprises: an enzyme information storage unit for storing, for one or more enzymes involved in metabolic pathways in a body of an organism, enzyme information representing a relation between a metabolite which is a substance and a metabolite which is a product material of each of said one or more enzyme; an analysis condition storage unit which stores an analysis condition for analyzing the metabolites with a mass spectrometer; a gene locus information input unit for inputting information relating to a gene locus affecting an expression of an enzyme of interest; a metabolite identification unit for identifying the metabolites as analysis target metabolites, based on information regarding the gene locus and information stored in the enzyme information storage unit; and an analysis condition output unit which acquires from the analysis condition storage unit and outputs an analysis condition for analyzing the analysis target metabolite which is identified by the metabolite identification unit with the mass spectrometer.SELECTED DRAWING: Figure 1

The application discloses a method for improving the anti-cellular fibrosis of intestinal flora based on polysaccharides, and the steps of the method include: preparing Yunnan rhizoma polygonati mutant polysaccharide PKVP-1; and placing the Yunnan rhizoma polygonati mutant polysaccharide PKVP-1 in an intestinal environment to improve the anti-cellular fibrosis of intestinal flora. The steps of an experimental method for improving the anti-cellular fibrosis of intestinal flora based on polysaccharides include: selecting experimental animals and performing random grouping, and then performing drug administration; collecting the intestinal contents and kidney tissues of the experimental animals; taking the kidney tissues of the experimental animals to prepare paraffin sections for trichrome staining, and evaluating the inflammation degree of the kidney tissues according to the inflammatory cell infiltration; performing sequencing; detecting metabolites and obtaining a conclusion according to metabolite analysis. The method for improving the anti-cellular fibrosis of intestinal flora based on polysaccharides provided by the application improves the anti-cellular fibrosis ability of intestinal flora by placing the mutant polysaccharide in the intestinal environment of the experimental animals.

The invention relates to a halophilous iris IhCHS1 gene for improving salt tolerance and jasmonate accumulation capability of a plant and application. The salt-loving iris IhCHS1 gene belongs to a plant chalcone synthase (CHS) family, an overexpression vector of the IhCHS1 gene is constructed and transferred into a salt-sensitive plant, and through growth phenotype, physiological analysis and metabolite analysis, it is found that under salt stress, compared with a wild type, the plant with the overexpressed IhCHS1 gene is remarkably increased in seedling root length, mature-period biomass and pedicel height, and the plant with the overexpressed IhCHS1 gene is remarkably increased in mature-period biomass and pedicel height. The content of jasmonic acid compounds is remarkably increased, so that overexpression of the IhCHS1 gene can remarkably enhance the salt tolerance of the plant and the accumulation amount of jasmonic acid substances, and the IhCHS1 gene can be used for improving the growth ability of the plant under salt stress and the synthesis ability of the jasmonic acid compounds. The halophilous iris IhCHS1 gene and the overexpression vector thereof have important application value in the field of plant salt stress resistance and plant secondary metabolism genetic engineering, and can be directly applied to creation of salt-tolerant new germplasm of iris and even other plants.

The invention discloses a bowl-shaped nano composite material for capturing exosomes and a preparation method and application thereof.The preparation method comprises the steps that firstly, a mesoporous organic silicon bowl-shaped nano material MONB is prepared through a hard template method and a sol-gel method, then in-situ deposition of platinum nano particles and coupling of streptavidin are carried out, and the bowl-shaped nano composite material for capturing the exosomes is obtained. The nano composite material SA (at) Pt-MONB for capturing the exosome is obtained. The biotin-labeled exosome and SA-Pt-MONB are mixed and co-incubated to capture the exosome, and the captured exosome is further subjected to mass spectrometry, so that the exosome metabolic marker related to diseases can be obtained, and the exosome metabolic marker can be used for cancer diagnosis. The nano composite material provided by the invention has special bowl-shaped morphology, high specific surface area and ultraviolet absorption capacity, can efficiently and conveniently realize continuous exosome capture and metabolite analysis, and has wide clinical application potential, especially in disease diagnosis and prognosis evaluation.

The application discloses a method and device for comprehensively analyzing immune metabolism and AD disease-related genes by multiple omics. The method comprises the following steps: obtaining single-cell sequencing data of AD patients; obtaining GWAS data of immune cells and metabolites of AD patients; screening independent single nucleotide polymorphisms (SNPs); obtaining causally related immune cell characteristics and metabolite factor characteristics through Mendelian randomization causal inference; analyzing the causally related immune cells and metabolites to identify immune cells and metabolites that have an important impact on the occurrence of AD, and then obtaining metabolic pathways that affect AD; obtaining gene expression data of expression differences of metabolic pathways in different cell populations; performing differential gene analysis to obtain gene analysis results; and screening genes related to AD disease. The method disclosed by the application uses advanced machine learning technology to identify key biomarkers related to Alzheimer's disease and accurately predict the risk of individuals in disease development.

1. Name of the product of this design: Blood analysis graphical user interface for electronic equipment. 2. Purpose of the product of this design: an electronic device. 3. The key design point of this appearance design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. The product carrier is of conventional design, and other views of the product carrier are omitted. 6. Designate Design 1 as the base design. 7. Use of Graphical User Interface: It is used for blood gas, electrolyte and metabolite analysis. 8. Human-computer interaction mode of the graphical user interface: In the main view of Design 1 to Design 9, click the button icon below the detection equipment model diagram to start sample detection and analysis. In the main view of Design 10, click the "Syringe Mode" icon on the left side of the interface to enter the Design 10 change state diagram, syringe mode measurement interface.

The invention relates to the technical field of mass spectrum detection tools, in particular to a cancer tissue mass spectrum analysis detection method and a detection system thereof. Comprising the steps of sample pretreatment and device preparation; selecting an extraction solution and generating a charged mixed solution; atomization and gas-liquid mixing; performing mass spectrum analysis and signal acquisition; and data processing and metabolite analysis. According to the cancer tissue mass spectrometry detection method and the detection system thereof, the cut cancer tissue sample is placed on the filter membrane infiltrated by the extract liquor, and the connecting device is sealed. 3 kV high voltage is applied to the ion source device, so that the methanol extraction liquid flowing through the tissue is electrified. And the charged mixed liquid enters the Y-shaped sprayer and is atomized by high-purity nitrogen provided by the gas conveying device. And the atomized charged liquid drops are directly introduced into a mass spectrometer for analysis. And finally, a mass spectrum signal analysis system processes data, metabolites in tissues are quickly and accurately recognized, the detection efficiency and sensitivity are remarkably improved, and sample requirements and dependence on experience are reduced.

Urine Analyzer for Monitoring Therapeutic Adherence. The invention relates to a urine analysis device (1) for monitoring a user's adherence to a treatment regimen including the regular intake of a medication. The device comprises a collection channel (4) for collecting the user's urine when the user urinates in a toilet, and an analysis module (3) configured to detect the presence of an analyte in the urine collected by the collection channel. The analyte is an active ingredient of the medication or a metabolite of the active ingredient. The analysis module is configured to determine the concentration of the analyte in the collected urine or a quantity monotonically related to the analyte concentration in the urine. It also relates to a system and method for monitoring a user's therapeutic adherence. Figure for the abstract: Fig. 1

The invention provides a nuclear magnetic resonance spectrogram preprocessing method and system based on an anchor peak coordinate system and semantic fragmentation Token and a computer medium, and the preprocessing method comprises the steps: constructing an anchor point set based on stable compound prior detection and matching of multiple pairs of anchor peaks of a reference spectrum and a target spectrum; dividing intervals according to anchor points, and executing local dynamic time warping of endpoint constraint and slope penalty to realize high-precision alignment; fitting monotonic segmented splines and carrying out overlapped weighted fusion to generate continuous reversible mapping; semantic fragmentation is carried out on the reference spectrum in combination with valley bottom detection and metabolite prior, and the fragmentation boundary is applied to all target spectrum samples; spectral morphology and prior features are further extracted, and a fusion Token vector sequence is embedded and generated in combination with a convolutional auto-encoder to serve as input of a deep learning model. According to the method, low-distortion alignment and AI friendly representation are achieved, the accuracy and interpretability of metabolite analysis and disease prediction are improved, and the method is suitable for metabonomics and multi-platform spectroscopy data processing.

The invention provides a production place identification method of aronia melanocarpa fruits. The method comprises the following steps: S101, extracting metabolites of the aronia melanocarpa fruits; s102, carrying out liquid chromatography-mass spectrometry detection on the metabolite, and identifying the characteristic peak of the metabolite; s103, comparing the metabolite characteristic peak with the standard peak value of the metabolite of the aronia melanocarpa fruit in each producing area, and determining the producing area of the aronia melanocarpa fruit. The aronia melanocarpa has unique rich nutritional value and excellent anti-oxidation function, but the components of the aronia melanocarpa are not comprehensively known, and the planting field of the aronia melanocarpa cannot be determined based on the aronia melanocarpa, so that the metabolite of the aronia melanocarpa from different producing areas is obviously different, and the planting field of the aronia melanocarpa can be determined by analyzing the metabolite of the aronia melanocarpa fruit. And the production place information of the aronia melanocarpa fruits is determined, so that the production place traceability of the aronia melanocarpa fruits can be realized.

This invention discloses a monoclonal antibody against a Bacteroides fragilis-specific protein and its applications, belonging to the field of biotechnology. Using the OmpA and SusD proteins on the surface of Bacteroides fragilis as immunogens, this invention prepares a highly specific monoclonal antibody with strong antigen-binding affinity using hybridoma technology. After conjugating this monoclonal antibody with magnetic beads, the resulting magnetic bead antibody conjugate can efficiently enrich and / or isolate Bacteroides fragilis from treated samples, offering advantages of convenience and low cost. Furthermore, the isolated Bacteroides fragilis can be used for whole-genome sequencing, metabolite analysis, and strain function research, providing new technical means for Bacteroides fragilis microecological research, probiotic preparation quality control, rapid clinical diagnosis, and functional strain screening.

The invention discloses a cognitive load monitoring system based on sweat metabolite analysis, and belongs to the technical field of biosensing. Comprising a multi-site microfluidic sweat collection module, a variable temperature regulation type sweat dilution and stabilization module, a feature targeting type metabolite recognition module, a cross-individual dynamic standardization mapping module, a multi-channel fusion calculation module, a self-adaptive cognitive load model training module, an environment state correlation correction module and a wearable integrated output module. All the modules construct a dynamic closed-loop mechanism through flexible substrate structure integration, continuous flow information channel transmission and uniform timestamp and weight feedback. The system realizes high-throughput detection of sweat metabolites (lactic acid, cortisol and glucose) and multi-source physiological signal fusion analysis, supports data standardization expression, adaptive model training and environment disturbance correction among multiple users, finally completes intelligent decision and remote transmission through wearable equipment, and has high integration, intelligence and practicability.

The invention provides a method for identification and chiral resolution of enantiomers of three new metabolites in an indoxacarb rat, and belongs to the technical field of pesticide metabolite analysis. Three metabolite enantiomers in an indoxacarb rat are separated and identified by adopting a high performance liquid chromatography-mass spectrometry technology, a chromatographic column is a polysaccharide derivative chiral chromatographic column, a mobile phase A is an organic solvent, a mobile phase B is a 5mM ammonium acetate aqueous solution, the volume ratio of the mobile phase A to the mobile phase B is 80: 20-85: 15, the column temperature is 35 DEG C, and the flow velocity is 0.8 mL / min. The invention provides a method for effectively identifying and separating enantiomers of three metabolites in a chiral indoxacarb rat, and the method has the advantages of high sensitivity, simplicity in operation, high separation speed and the like.

The utility model belongs to the field of aquaculture, and discloses a green symbiotic simulation device for aquatic economic organisms, which can simulate an algae-shellfish-crab symbiotic system and analyze generated metabolites so as to conveniently make optimal quantity configuration, and comprises a device shell, a microalgae supply container and a culture platform, an intra-cavity partition plate is horizontally arranged in the device shell, a symbiosis cavity and a sampling cavity which are adjacent up and down are formed, the intra-cavity partition plate is provided with a plurality of communicating through holes, and the upper surface of the intra-cavity partition plate is used for breeding crabs; the microalgae supply container is hung at the top of the symbiosis cavity and is provided with an openable and closable feeding opening part, and the feeding opening part faces the interior of the symbiosis cavity; the culture platform is located in the symbiotic cavity and detachably arranged on the intra-cavity partition plate, the upper surface of the culture platform is an inclined culture surface, the culture surface is used for shellfish adsorption, metabolite sampling sponge is detachably arranged in the sampling cavity, and the metabolite sampling sponge is flatly laid.

The application discloses a kind of shigella bacteria specific protein antibodies and its application.The antibody is monoclonal antibody C65 and monoclonal antibody A61, monoclonal antibody C65 includes light chain variable region and heavy chain variable region, and the amino acid sequences of light chain variable region and heavy chain variable region are respectively shown as SEQ ID NO:7 and 8;Monoclonal antibody A61 includes light chain variable region and heavy chain variable region, and the amino acid sequences of light chain variable region and heavy chain variable region are respectively shown as SEQ ID NO:9 and 10.The magnetic bead antibody conjugate of the application is coupled by monoclonal antibody C65, monoclonal antibody A61 and activated carboxyl magnetic bead respectively.The magnetic bead antibody conjugate of the application is specific to shigella bacteria, and enrichment efficiency is high, and enrichment operation is simple, can be applied to shigella bacteria metabolite analysis, and also can be used for its qualitative and quantitative analysis.