40 results about "Assay technique" patented technology

The application relates to the technical field of gene sequencing data processing and bioinformation analysis, in particular to a Web-based whole-exome sequencing tumor gene mutation detection visual analysis method and system. The system collects user sequencing data and a reference genome version through a Web interactive interface; a program is called to perform quality control cleaning and evaluation on the data, and a visual report is generated; sequence alignment is completed based on the reference genome, and a variation site is identified through algorithm iteration; biological annotation of the variation is combined with a database, a candidate pathogenic mutation set is screened out in multiple levels according to a strategy, the candidate set is projected to a visual interface, a site state is confirmed or removed in response to a manual checking instruction, and a final gene mutation detection report is generated. The application greatly simplifies the whole-exome sequencing data processing procedure, makes it easy for clinical doctors or researchers without bioinformation background to start, and improves the popularization rate and work efficiency of tumor gene detection work.

The application belongs to the technical field of detection and analysis, and discloses a normal phase detection method for imine reaction control. The method is detected by normal phase liquid chromatography, and the detection conditions include: a polysaccharide derivative normal phase coated type chiral chromatographic column is used, and a mixed solution of n-hexane, ethanol, ethylenediamine and trifluoroacetic acid is used as the mobile phase, wherein the volume ratio of n-hexane, ethanol, ethylenediamine and trifluoroacetic acid is (75-85):(15-25):(0.05-0.15):(0.05-0.15). The method can realize effective separation, detect the content of 1,2,3,4,10,14B-hexahydrodibenzo[C,F]pyrazino[1,2-A]azepine in the reaction solution, and has the advantages of simplicity, accuracy, rapidness and reliability.

The present application belongs to the technical field of biological manufacturing data analysis, and discloses a biological manufacturing data analysis system based on artificial intelligence. The present application realizes intelligent biological processes, discusses the intelligent technology route of the entire subject according to the existing biological multiscale theory and the AI research system, starts the preparation work of connecting the AI system software and programming with the equipment manufacturing unit technology, and establishes the system. The double-track strategy of "general large model + parallel experiment data" is adopted: the general model provides basic cognition, and the experiment data forms the decision rule through the state-action-reward mechanism. The multiscale related curves, AI1.0 to 2.0 versions are related, the experiment data is associated with the relevant research in various places through the general large model, and the internal research is formed into a confidential database.

This utility model relates to the field of drug analysis technology, specifically a rotary centrifuge-based drug property analysis and testing device. It includes a centrifuge body with a rotating shaft inside. A top cover is rotatably connected to the top of the centrifuge body. An installation component is provided on the outer wall of the rotating shaft, and a placement component is provided on the side wall of the installation component. The advantages are: by using the installation component and the placement component in conjunction, the sample can be directly placed into the microplate and vertically inserted into the limiting groove to complete the installation. Rotating to open the fixed cover allows the rotating squeezing block to press the slider, thus disassembling the microplate. This reduces the number of operation steps, supports various sizes of microplates, and solves the problems of inconvenient microplate replacement and cumbersome operation in traditional centrifuges. It not only improves operational convenience and experimental efficiency but also enhances safety, compatibility, and scalability.

The present application relates to the technical field of biological information analysis, and particularly relates to a construction method of a POLE mutation discrimination model based on second-generation sequencing results and application thereof, the construction method comprising S1, preprocessing of second-generation sequencing data, S2, sequence alignment, variation interpretation and mutation filtering, S3, analysis of filtered mutation data and POLE mutation discrimination. The POLE mutation discrimination model constructed by the construction method of the present application does not need to explicitly set POLE mutation as an amplification marker, sets a certain number of mutations and a maximum mutation abundance threshold, filters false positives caused by too few mutation sites, and combines POLE mutation discrimination score standards to assist in the determination of POLE mutation and improve the detection rate of true positives. Meanwhile, the mutation detection range of the present application covers 680 cancer-related genes, and the larger detection coverage makes the given score standard closer to the estimated hypothesis, and thus is more reliable.

The application discloses a kind of for HBV PreS1 antibody qualitative detection test strip and its preparation method and application, it is related to virology, immunology, biological detection technology and immunochromatography analysis technical field.The test strip is based on the specific recognition principle of antigen and antibody, the specific binding of PreS1 antigen and PreS1 antibody is realized, the rapid detection of PreS1 antibody in serum or plasma sample, it is sequentially assembled by sample pad, gold mark pad, nitrocellulose membrane (NC membrane) and water absorption pad, wherein, gold mark pad is fixed with colloidal gold labeled anti-human IgG antibody as gold mark probe, NC membrane detection line (T line) is coated HBV PreS1 antigen, for capturing PreS1 antibody in sample, NC membrane quality control line (C line) is coated HB2 antibody, for judging whether the test strip detection process is effective.The test strip in the application does not need complex instrument equipment, detection process is simple, fast and fast, and has good sensitivity and specificity, can be used for hepatitis B vaccine immune effect evaluation and large-scale screening.

This invention relates to the field of medical data analysis technology, specifically to a patient response assessment method and system based on chemotherapy data analysis. The method includes the following steps: accumulating drug administration time and dose to form a cumulative exposure sequence; matching biomarker time and concentration to form response pairs; extracting adjacent differences and dividing assessment intervals according to correlation; calculating the interval change ratio to obtain an assessment coefficient sequence; and combining the drug administration time window and the response time window to calculate the chemotherapy response result. In this invention, by time matching and difference analysis of cumulative exposure and tumor marker concentration data, the relationship between exposure changes and indicator changes is characterized, reducing fixed threshold assessment bias, improving the utilization of time series data, enhancing the accuracy and individual adaptability of assessment results, improving the reliability of chemotherapy response assessment, and stabilizing assessment consistency.

The utility model relates to an analysis piece belongs to biological sample analysis technical field. The analysis piece solves the problem of inconvenient liquid control of traditional glass slide, unable to filter impurities, easy to produce air bubble. The scheme includes first glass slide and second glass slide: first glass slide is equipped with drop hole, vent hole and observation window (comprise first subsidence part and second subsidence part), second glass slide is equipped with liquid storage groove. When two layers are pasted, first subsidence part and liquid storage groove form the first liquid passage cavity with small width for filtering large particle, second subsidence part forms the second liquid passage cavity with large width for liquid flat storage, vent hole is located away from drop hole one end, is used for discharging air to avoid air bubble. When using, liquid is dropped from drop hole, and after filtering through first liquid passage cavity, it flows into second liquid passage cavity and is evenly flat, forms the thin layer suitable for microscope observation. The analysis piece simplifies the operation, improves the observation accuracy, and is suitable for biological sample analysis.

This invention relates to the field of enzyme network analysis technology, specifically a robust system for analyzing the functional balance of a multifunctional enzyme regulatory network. The system includes a network topology analysis module, a graph generation module, a flux balance analysis module, a functional simulation module, a robustness curve fitting module, and a report generation module. It identifies key nodes and vulnerable paths in the target regulatory network; constructs a structural feature association graph; performs flux balance analysis on the target regulatory network to obtain functional flux distribution data; simulates the functional operation of the target regulatory network and quantifies the output efficiency of the simulation results to obtain the core function maintenance degree; fits the perturbation trend of the core function maintenance degree to obtain a functional balance robustness curve; and analyzes the decay mode of the functional balance robustness curve to generate a robustness analysis report of the target regulatory network. This invention can improve the efficiency of functional balance robustness analysis of a multifunctional enzyme regulatory network.

The present application relates to a gene mutation and phenotype information association analysis method and system, belonging to the technical field of automatic medical analysis. The method comprises the following steps: S1: obtaining a high-frequency pathogenic gene mutation white list; S2: obtaining genotype data of the object to be analyzed, comparing with the gene mutation in the white list, taking the intersection, and obtaining the high-frequency pathogenic gene mutation; S3: obtaining the high-frequency pathogenic gene mutation and the phenotype information of the object to be analyzed, performing high-frequency pathogenic gene mutation association analysis, and obtaining the associated high-frequency pathogenic gene mutation set; S4: obtaining the genotype data and the phenotype information of the object to be analyzed, performing conventional association analysis, and obtaining the associated gene mutation set; S5: obtaining the associated high-frequency pathogenic gene mutation set and the associated gene mutation set, taking the union, and outputting the gene mutation list in the union, which is the candidate pathogenic gene mutation list. The method can solve the problem of false negatives in conventional analysis methods (software).

The application belongs to the technical field of gene methylation detection and analysis, and specifically provides a gene methylation detection result interpretation system, which comprises a sample management module, a data interpretation module, a report generation module and a background management module; the sample management module is used for encoding the imported gene methylation detection sample information and automatically generating a corresponding detection serial number; the data interpretation module is used for interpreting the gene methylation detection result and obtaining an interpretation conclusion; and the report generation module is used for automatically generating a corresponding report according to the gene methylation detection result. Compared with the prior art, the application has the advantages of simple operation, wide compatibility, editability and clear information, etc.

This invention discloses an amino acid assay kit based on the o-phthalaldehyde (OPA) method, its preparation method, and its application. Belonging to the field of amino acid detection and analysis technology, it is used for rapid and accurate quantitative detection of amino acids in samples. The amino acid assay kit can not only measure the total amino acid content but also analyze specific amino acids and dipeptides such as alanine glutamine, meeting diverse analytical needs. This amino acid assay kit is suitable for batch testing and supports high-throughput laboratory applications. By optimizing the reagent formulation and operating procedures, this invention effectively simplifies the detection steps, improves detection sensitivity and specificity, and fills the gap in the market for OPA-based assay kits. This invention can be widely applied in nutrition, medicine, clinical diagnostics, and drug development, providing a convenient and efficient amino acid analysis tool for life science and medical research.

The application discloses a fluorescent probe for dual-channel distinguishing detection of hypochlorous acid and bisulfite in ferroptosis, a preparation method and application thereof, and belongs to the technical field of fluorescent probe detection and analysis of HClO and HSO3 ‑ . The fluorescent probe is (E)-3-ethyl-1,1-dimethyl-2-(4-(methylthio)styryl)-1H-benzo[e]indol-3-ium iodide, and a structural formula thereof is shown in the description; the application further discloses a preparation method of the fluorescent probe and application of the fluorescent probe in simultaneous, rapid and high-selectivity identification of HClO and HSO3 ‑ and preparation of imaging detection reagents of HClO and HSO3 ‑ in organisms. The fluorescent probe can realize dual-channel distinguishing detection of HClO and HSO3 ‑ in pure PBS solution, has fast response, low detection limit and high selectivity, and has good imaging effect on endogenous HClO and HSO3 ‑ generated in the ferroptosis process.

The present application relates to a kind of biological species homology analysis systems based on protein / gene sequence data, belong to biological species homology analysis technical field, solve the problem of high cost and low efficiency of detection method in prior art.The system of the present application includes: data preprocessing module, for the obtained protein / gene original data is carried out data cleaning, obtain protein / gene sequence data;Data analysis module includes: protein sequence analysis unit, for according to the frequency of each amino acid in protein sequence, position and its physical and chemical properties, generate protein sequence numerical representation vector;Gene sequence analysis unit, for obtaining the optimal matching sequence in two groups of gene sequences;Species homology judging module, for according to protein sequence numerical representation vector / optimal matching sequence, the distance of each two groups of protein / gene sequence data is calculated, and according to the size of distance, the analysis of protein / gene sequence homology nearness.

The application provides a biomarker detection method and system for early warning of heat stroke, and relates to the technical field of biomarker detection and analysis, which comprises the following steps: specifically marking the plasma to be detected; collecting optical intensity sequences of detection zones, background zones and marker reference zones of each biomarker detection channel along a preset scanning path; performing smoothing processing on the optical intensity sequences of the detection zones; calculating the steady-state readings of the detection zones, the background zones and the marker reference zones of each biomarker detection channel within a stable time window; analyzing the steady-state readings of the detection zones, the background zones and the marker reference zones; marking the detection net response according to the net response of the marker reference; performing sample multiplicative decay correction and instrument drift normalization on the purified effective signal; and inversely solving the normalized effective signal into the corresponding quantitative concentration to obtain early warning data of heat stroke.

The application discloses a method and system for amplicon internal reference normalization, and belongs to the technical field of biological information analysis. The method for amplicon normalization comprises the steps of obtaining an internal reference normalization baseline and obtaining an internal reference correction coefficient, and further performing internal reference normalization according to the internal reference normalization baseline and the internal reference correction coefficient. The method can improve the detection sensitivity and has very important popularization and application value.

This invention discloses a qualitative test strip for HBV PreS1 antibody, its preparation method, and its applications, relating to the fields of virology, immunology, biodetection technology, and immunochromatographic analysis. Based on the principle of antigen-antibody specific recognition, the test strip achieves rapid detection of PreS1 antibodies in serum or plasma samples through the specific binding of PreS1 antigen and PreS1 antibody. It is assembled sequentially from a sample pad, a gold-labeled pad, a nitrocellulose membrane (NC membrane), and an absorbent pad. The gold-labeled pad is immobilized with colloidal gold-labeled anti-human IgG antibody as a gold probe. The NC membrane detection line (T line) is coated with HBV PreS1 antigen to capture PreS1 antibodies in the sample, and the NC membrane control line (C line) is coated with HB2 antibody to determine the effectiveness of the test strip's detection process. The test strip of this invention requires no complex instruments or equipment, the detection process is simple, rapid, and has good sensitivity and specificity, making it suitable for evaluating the immunization efficacy of hepatitis B vaccines and for large-scale screening.

This invention discloses a method for constructing a sinusitis regulation analysis model based on nasal polyp cell inhibition data, belonging to the field of CRSwNP disease analysis technology. The method includes the following steps: collecting Lund-Kennedy scores and corresponding nasal polyp cell inhibition data from CRSwNP patients to obtain raw sample data; screening the raw sample data to remove unqualified raw sample data from CRSwNP patients to obtain standard sample data; performing index preprocessing based on the standard sample data and obtaining the optimal lag order to obtain reference sample data; constructing an LK analysis prediction model based on the reference sample data and analyzing and predicting the Lund-Kennedy scores of CRSwNP patients. This invention addresses the problem that existing CRSwNP disease analysis technologies cannot provide clinicians with objective and reliable analytical and predictive tools when analyzing and predicting the Lund-Kennedy scores of CRSwNP patients, thus failing to help clinicians reliably predict the disease progression of CRSwNP patients during treatment.

This invention relates to the field of environmental chemistry and toxicology analysis technology, and particularly to a method for identifying bisphenol metabolites, comprising the following steps: S1: establishing a list of potential metabolites; S2: acquiring high-resolution mass spectrometry data of biological samples; S3: automated screening and identification: automatically processing the mass spectrometry data obtained in step S2 using mass spectrometry analysis software, including precursor ion identification and fragment ion matching analysis, comparing the analysis results with the list of potential metabolites generated in step S1, and screening out metabolites that match the mass spectrometry data as candidate identification results; this invention achieves rapid and accurate identification of target metabolites from massive amounts of mass spectrometry information through the steps of computational simulation to predict potential metabolites, obtaining real mass spectrometry data through animal exposure experiments, and automated software comparison and screening.

This invention belongs to the field of pathogen activity analysis technology. It discloses an optical chemiluminescence trace analysis system for pathogenic bacteria. The system includes: constructing a set of discrete reaction sites of the target pathogenic bacteria on an immobilized capture interface in the sample; performing a chemiluminescence reaction on the set of discrete reaction sites to generate a local chemiluminescence response sequence and a luminescence spatial distribution sequence; obtaining the spatial response trajectory of the target pathogenic bacteria by analyzing the lighting sequence of each discrete reaction site and the expansion and aggregation characteristics in the site's neighborhood; obtaining the pathogenic bacteria activity determination result by analyzing the consistency of continuous luminescence at different discrete reaction sites and the branching and converging characteristics of the outward expansion path in the spatial response trajectory; and outputting a conclusion on the presence of pathogenic bacteria. This invention improves the stability of trace pathogenic bacteria detection and enhances the ability to distinguish weak positives and activity.

This invention discloses a four-dimensional Raman monitoring system and dynamic quantitative method for environmental microplastics in vivo, belonging to the field of environmental ecological monitoring and analysis technology. The system includes a confocal spectroscopy acquisition module, a controller, and a data processing module. It acquires the three-dimensional coordinates of live samples through coordinated spatial scanning and simultaneously acquires Raman signals to construct four-dimensional spectral data. A multidimensional convolutional instance segmentation network is used to process the four-dimensional Raman spectral data, identifying and classifying endogenous biological matrices and exogenous multi-mixed microplastics in vivo, outputting voxel-level semantic classification results, and then quantitatively calculating the absolute retention volume and abundance of microplastics in the organism. This invention overcomes the shortcomings of existing technologies in label-free quantification under complex biological backgrounds, achieving in-situ accurate identification of mixed microplastics in vivo, and providing a standardized quantitative monitoring method for assessing the bioaccumulation, metabolic patterns, and ecotoxicological effects of environmental microplastics.

The application belongs to the technical field of lipidomics and bioinformatics analysis, and particularly relates to a mass spectrum false positive filtering and multi-level analysis method for lipidomics. The application realizes high-confidence lipid identification and false positive filtering by integrating chromatographic behavior verification, spectrum similarity network analysis and fatty acid composition consistency verification; on this basis, a cross-level correlation analysis framework from lipid molecular structure to biological function is constructed, thereby supporting systematic functional analysis and mechanism interpretation of complex lipidomic data, and being suitable for deep lipidomic research of biological samples and lipid preparations.

This invention relates to an adenovirus susceptibility risk assessment model and biomarkers, belonging to the field of gene analysis technology. The method for establishing this model includes the following steps: Susceptibility locus and susceptibility effect value analysis: obtaining whole-genome SNP locus data from adenovirus-infected and non-infected individuals, and analyzing them using the GWAS method to obtain the susceptibility loci for adenovirus infection and their corresponding susceptibility effect values; Establishment of an adenovirus susceptibility polygenic risk prediction model: calculating the adenovirus susceptibility polygenic risk score PRS using the formula: PRS = β1x1 + β2x2 + ... + β k x k +…+β n x n β represents the susceptibility effect value corresponding to the susceptibility locus obtained from GWAS analysis, x represents the number of risky allele mutations, n represents the total number of SNPs included in the PRS analysis model, and k represents each SNP included in the PRS analysis model. This adenovirus susceptibility risk assessment model, validated with sample groups from different data sources, can distinguish between adenovirus-susceptible populations and control groups, demonstrating the superior discriminative power of the model of this invention.

This invention relates to the field of medical biochemical analysis technology, and discloses an optical detection device for a medical biochemical analyzer, including a base and a top plate. A support column is rotatably connected to the upper surface of the base, and a rotating worktable is fixedly connected to the upper surface of the support column. A stirring mechanism is disposed on the lower surface of the top plate. A clamp is rotatably connected inside the rotating worktable, and a cuvette is clamped and fixed inside the clamp. A sleeve is fixedly connected to the upper surface of the base, and a gear one is fixedly connected to the upper surface of the sleeve. A gear two is fixedly connected to the lower surface of the clamp, with the tooth ends of gear one meshing with the tooth ends of gear two. The optical detection mechanism is disposed on the upper surface of the base. By fixing gear one and engaging gear two, which revolves with the clamp, the cuvette rotates on its own axis while revolving with the worktable. Using purely mechanical transmission to achieve the rotation of the cuvette not only enhances the mixing effect but also avoids uneven local concentrations of reagents.

The application relates to the field of chemical proteomics, in particular to a probe for labeling protein, and a structure formula of the probe is shown as formula I; the probe realizes protein labeling by labeling active amino acids, wherein the active amino acids are tyrosine, lysine, serine and threonine. The probe provides a new auxiliary tool for covalent small molecule drugs, protein covalent ligand screening, drug or active natural product target discovery and elucidation of protein-protein interaction. By using the probe and combining mass spectrometry analysis technology, high-throughput detection is realized, so that the analysis difficulty is reduced, and the experimental period is shortened; in addition, the probe is suitable for complex biological samples, and protein does not need to be purified, and the operation is simple.

The invention relates to the technical field of image analysis, in particular to a multi-modal fusion glioma intelligent prognosis prediction method and system, and the method comprises the steps: collecting multi-modal data, respectively extracting omics features, constructing a multi-modal fusion depth model, obtaining high and low risk groups, and respectively carrying out difference analysis from multiple omics dimensions, screening out a gene set which is remarkably and highly expressed in the high-risk group, obtaining an intersection of each group of study difference analysis results, preliminarily screening out candidate genes, carrying out inter-study correlation analysis, and screening out intersection genes; introducing the intersection genes into a public database, and screening out genes which are remarkably and highly expressed in GBM to obtain candidate genes; and respectively introducing the candidate genes into a plurality of public databases, and finally identifying potential treatment targets related to the high-risk group. According to the method, the accuracy, the interpretability and the clinical transformation potential of GBM patient layering are comprehensively improved by constructing the multi-modal fusion depth model and combining heterogeneity mechanism analysis and target screening verification.

This invention relates to the field of data evaluation and analysis technology, and discloses an intelligent assessment method for pharmaceutical R&D approval risks based on historical data analysis. The method includes: achieving cross-version standardization and improved comparability of historical data through semantic layer resolution and element reconstruction technology; enhancing data integrity and credibility through multi-source heterogeneous evidence fusion and triangulation mechanisms; dynamically filling residual gaps and continuously improving evidence quality through proactive backtracking and iterative optimization technology; improving the robustness of risk assessment conclusions and decision-making transparency through hierarchical credibility structures and uncertainty quantification technology; and achieving self-evolution and long-term adaptive optimization of the assessment system through feedback loops and rule feedback mechanisms.