981 results about "Quantitative assay" patented technology

The invention belongs to the technical field of medical diagnosis, and discloses a quantum multicolor immune digital pathological diagnosis analysis system, which comprises the following steps: acquiring high-resolution digital images of an immunohistochemical or immunofluorescence slice and a slide, and analyzing multicolor signal distribution in the images to obtain a quantum chromatographic image set; pixel-level color separation and intensity quantization are carried out on the quantum chromatographic image set, and a quantum intensity index set of each pixel is generated; performing multi-target color overlay analysis and post-translational modification protein specificity evaluation on the quantum intensity index set to construct a multi-color modification index set; identifying a single cell boundary and a multi-cell community based on the multicolor modification index set, and extracting a cell morphological parameter and a spatial adjacency relation to obtain a cell quantum analysis set; performing consistency correction and traceable recording by applying an automatic quality control mechanism, and generating a digital diagnosis report; the accuracy of accurate qualitative and quantitative analysis of immunohistochemistry and immunofluorescence is greatly improved.

The invention provides a quantitative analysis method for red mud reaction degree, which comprises the following steps: preparing a cementing material sample containing red mud, acquiring a back scattered electron (BSE) image of the sample, performing semantic segmentation on the BSE image by using a deep learning model, identifying a red mud correlation phase, and determining the red mud reaction degree on the basis of a semantic segmentation result. Calculating the area fraction of the red mud related phase in the image, converting the area fraction into the volume fraction of the red mud, and calculating the reaction degree of the red mud based on the volume fraction; the invention aims to overcome the limitations of strong indirectly, low precision and high cost in the prior art, realizes direct, objective and visual quantification of the red mud reaction degree by accurately identifying the related phase of the red mud and establishing the area-volume equivalent relationship, and provides a reliable technical means for optimizing the red mud composite cementing material.

The invention provides a tissue microvessel analysis method and system for assisting drug design based on artificial intelligence. The method comprises the steps that two channel images of a blood vessel marking channel and a nano probe channel are collected; carrying out preprocessing, registration and feature fusion on the two channel images to obtain a fusion feature tensor for simultaneously coding a blood vessel-nanoparticle space coupling relationship; extracting multi-scale structure information based on the fusion feature tensor to obtain an enhanced feature tensor; constructing double models based on a U-Net + + architecture, and combining the double models with an enhanced feature tensor to obtain a blood vessel mask, a nanoprobe mask and a preprocessed probe intensity graph; and obtaining a permeability index based on the blood vessel mask, the nano probe mask and the preprocessed probe intensity graph, and obtaining a blood vessel typing and drug recommendation design strategy by adopting a clustering and random forest regression algorithm. According to the method, the quantitative analysis precision and efficiency of the vascular permeability are remarkably improved, intelligent linkage of image analysis and a nano-drug design strategy is realized for the first time, and the method has good application potential.

The invention discloses a YOLO-Drop-based 3D printing droplet microfluidic immunoassay method, which organically integrates a high-precision microfluidic chip preparation technology, a droplet-level immunoreaction system and a fluorescence imaging acquisition and deep learning detection algorithm. And full-chain closed-loop processing from droplet generation, fluorescence signal acquisition, image recognition, result statistics to concentration quantitative analysis is realized. Through deep combination of chip physical parameters and model input features, the method not only significantly improves the accuracy and stability of droplet identification and concentration quantification, but also enhances the robustness of the algorithm under complex sample conditions through multi-scale feature fusion and a signal dual screening mechanism. Meanwhile, the optimized YOLO-Drop model supports embedded efficient reasoning, so that the whole analysis process has the characteristics of real-time performance and high throughput, and the method is suitable for rapid quantitative detection of various biomarkers.

The invention belongs to the field of molecular sieve material characterization, and particularly relates to a method for analyzing aluminum atom pairs in a ZSM-5 molecular sieve based on super-resolution fluorescence microscopic imaging, which comprises the following steps: activating a ZSM-5 molecular sieve sample; contacting the obtained sample with probe molecules; washing the ZSM-5 molecular sieve sample, and removing unbound or nonspecifically bound probe molecules; imaging the marked sample by using a super-resolution fluorescence microscope to obtain an image sequence containing a single fluorescent molecule emission event; processing the image sequence, determining a space coordinate of each fluorescence event, and reconstructing a super-resolution fluorescence image exceeding an optical diffraction limit; and based on the space coordinates of the fluorescent dots in the super-resolution fluorescence image, carrying out statistics to obtain the position, surface density or distribution information of the aluminum atom pairs in the ZSM-5 molecular sieve. According to the method disclosed by the invention, nanoscale spatial resolution, direct imaging and quantitative analysis of Al-pair in ZSM-5 (Zeolite Socony Mobil-5) can be realized.

The invention relates to the technical field of liquid chromatographic analysis, and discloses a data acquisition method and system of a liquid chromatograph. The method comprises the following steps: extracting chromatograms without solvent residues and with known solvent residues from a historical database, and training by using a self-encoding neural network and a convolutional neural network to generate a baseline reference model and a ghost peak early warning model; obtaining solvent parameters of the previous analysis method, and calculating the residual solvent concentration through residual solvent information; inputting the residual solvent concentration into the baseline reference model and the ghost peak early warning model, and calculating to obtain a baseline drift prediction correction value and a ghost peak prediction risk area; pre-correcting the chromatographic signal acquired in real time to obtain a purified chromatographic signal; performing qualitative and quantitative analysis on the purification signal according to dynamic allocation resources of the ghost peak risk area to generate final chromatographic data; the data interference of the mobile phase residue is effectively eliminated, and the accuracy of data acquisition is improved.

The invention discloses a self-driven diagnosis and treatment integrated microneedle array paper-based chip as well as a preparation method and application thereof, and belongs to the technical field of biomedicine. The microneedle array chip system comprises a function integration module which at least comprises a self-powered extraction unit, a sensing detection unit and a controlled drug delivery unit. According to the microneedle array paper-based chip, biomarkers in skin interstitial fluid are efficiently collected based on a self-powered thermoelectric chemical battery microneedle, PtPB (at) PEG (at) HA nanoparticles loaded on an immunochromatography test strip combination pad are triggered to be subjected to ring opening, a hybridization chain reaction is induced to generate DNA nano-enzyme, and TMB is catalyzed to develop color; the open-loop nanoparticles can be used for SERS cross detection of biomarkers, and can be used as a thermal initiator to activate the phase change microneedle under the irradiation of near-infrared light, so that drugs are released as required, and precise treatment is realized. Besides, objective quantitative analysis of color signals is realized by constructing a convolutional neural network model, and the system has the functions of naked eye screening, intelligent quantification and personalized treatment, and can improve the home management ability of early skin cancer.

The invention discloses a positive charge fluorescent nanoprobe targeting BCR-ABL fusion protein and application of the positive charge fluorescent nanoprobe in leukemia single cell drug resistance detection, and relates to the field of biological medicine. According to the invention, the surface of the nanoprobe is subjected to specific modification of a polyethylene glycol hydrophilic polymer chain-bridged targeting molecule, so that the functionalized fluorescent nanoprobe with leukemia subcellular oncogenic fusion protein targeting property is successfully constructed. The probe realizes efficient and accurate targeting of the BCR-ABL fusion protein by regulating a subcellular transport pathway, completes diagnosis and quantitative analysis of drug resistance of the leukemia single-cell BCR-ABL fusion protein by utilizing an endocytosis-transport-exocytosis process of cells, can more comprehensively reveal heterogeneity and drug resistance conditions of BCR-ABL positive cells, and has a good application prospect. And a new technical means is provided for accurate diagnosis and treatment of chronic myelogenous leukemia.

The application discloses a kind of microscale single particle quantitative analysis method and system based on nano-silver signal enhancement, it is related to spectral analysis technical field, the method includes: using laser-induced breakdown spectroscopy system to the carbon black particle target sample is carried out spectral data acquisition, obtains target full spectrum data and is pretreated, and then obtains target spectral data matrix;Variable importance measurement algorithm and continuous projection algorithm are used to the variable in the target spectral data matrix is screened, and target variable is obtained;Target variable is input into carbon black particle metal content prediction model, and the content of metal element in carbon black particle target sample is obtained.The application can quickly and accurately determine the content of metal element in carbon black particle target sample.

The invention mainly relates to the field of digital image photogrammetry. In order to solve the problems that road crack detection lacks end-to-end quantitative analysis capability and crack extraction results are fragmented, the invention provides a road crack extraction and grading method based on topological structure constraints, and the method comprises the following steps: crack end point extraction and width calculation, skeleton of a crack center line, identification of a connected region and end points, and classification of the end-to-end quantitative analysis capability of the end-to-end quantitative analysis capability of the end-to-end quantitative analysis capability of the end-to-end quantitative analysis capability. The crack width corresponding to each center point is calculated through Euclidean distance transformation; potential breakpoint pairs are screened according to attribution, distance and direction constraints, then a topological connection rule is constructed, self-adaptive repair of the fracture is achieved, and the geometric integrity of the fracture is recovered; and performing quantitative analysis on the repaired cracks, accurately calculating the length, the average width, the maximum width, the area and the geographic coordinates of each crack, and performing danger grade division on each crack according to a preset threshold value to form structured disease data and a grading result which can be directly used for road risk assessment.

The invention discloses a self-aligning roller bearing rotation flexibility test data and assembly parameter correlation analysis method and a self-aligning roller bearing rotation flexibility test data and assembly parameter correlation analysis system. According to the method, bearing assembly parameters and multi-dimensional time sequence data of a rotation test are acquired through a system, and a quantitative correlation model between the bearing assembly parameters and the multi-dimensional time sequence data is constructed by using a machine learning algorithm. On the basis of the model, reverse analysis can be carried out on abnormal test data, and an assembly deviation source which causes poor flexibility is accurately positioned; target parameters can be input in the process design stage, and the expected performance of the bearing can be predicted in the forward direction. The corresponding system integrates a data acquisition module, a model analysis module, an application output module and a process feedback control module, and is integrated with a production line control system. According to the method, traditional qualitative judgment depending on experience is converted into quantitative analysis driven by data and models, intelligent closed loop from quality detection and root diagnosis to process optimization is achieved, and the consistency of bearing assembly quality and the intelligent level of process control are remarkably improved.

The invention designs a preparation method of a magnetic molecular imprinting-aptamer sandwich fluorescence sensor for detecting kanamycin. And the magnetic molecular imprinting composite material Fe3O4 (at) UiO-66 (at) MIP with a specific adsorption target object KANA is prepared. When a detection target object KANA exists, the Fe3O4-coated UiO-66-coated MIP can rapidly and specifically capture the KANA in a short time. Then, a DNA single-stranded aptamer marked with FAM is added, after the aptamer and KANA captured on the surface of the Fe3O4 at-UiO-66 at-MIP are subjected to specific recognition and magnetic separation again, an aptamer probe can enter sediment along with the magnetic composite material Fe3O4 at-UiO-66 at-MIP, the fluorescence intensity of supernate is reduced, and quantitative analysis is conducted according to the fluorescence difference value delta F. When the KANA does not exist, the aptamer cannot enter the precipitate, so that the fluorescence signal intensity is not changed. Double recognition is formed through specific binding of an MIP imprinting cavity and the aptamer, matrix interference is reduced by means of fluorescence characteristics and magnetic separation capacity, the method has the advantages of being high in adsorption capacity, specific in recognition, high in sensitivity, wide in detection range, good in selectivity and the like, and rapid and accurate detection of KANA in a complex sample can be achieved.

The invention discloses a 96-hole preassembled plate fat-soluble vitamin pretreatment kit, and belongs to the technical field of in-vitro diagnostic reagents. Comprising magnetic bead suspension liquid, equilibrium liquid, leacheate 1, leacheate 2 and eluent which are carried on a preassembled plate, and the magnetic bead suspension liquid comprises absolute ethyl alcohol and magnetic beads; the preparation process of the magnetic beads comprises the following steps: activating carboxyl of the carboxyl magnetic beads through EDC and NHS; then nitrochlorobenzene and triethylamine are added for a coupling reaction; mixing the coupling reaction product with pyrrolidone, ammonium persulfate and a pore-foaming agent to obtain target magnetic beads; the magnetic beads can be specifically combined with fat-soluble vitamins in human serum or plasma, efficient separation and release of an object to be detected are achieved through a magnetic separation technology, and the magnetic beads are suitable for follow-up mass spectrum quantitative analysis. The kit disclosed by the invention has the characteristics of simplicity and convenience in operation, high extraction efficiency and good stability, the pretreatment time can be remarkably shortened, the detection accuracy is improved, and an efficient solution is provided for clinical detection of fat-soluble vitamins.

The invention belongs to the technical field of micro-plastic detection, and particularly relates to a method for separating and detecting micro-plastic in a sample. The separation method comprises the following steps: cracking a sample, and then separating by using gas chromatography; the cracking temperature is 500-600 DEG C, and the gas chromatography heating procedure comprises the following steps: keeping the initial temperature of 35-45 DEG C for 1-2 minutes, heating to 310-330 DEG C at 25-35 DEG C / min, and keeping the temperature for 1-15 minutes. According to the separation method, eight micro-plastics (PS, PVC, NY-6, PP, ABS, PC, PU and PMMA) can be separated out at the same time within 10 min, the separation efficiency is high, and subsequent qualitative and / or quantitative analysis of the micro-plastics is facilitated.

The invention provides a UPLC-MS / MS (Ultra Performance Liquid Chromatography-Mass Spectrometry / Mass Spectrometry) detection method for N-nitroso landiolol in a landiolol hydrochloride bulk drug. The method comprises the step of carrying out qualitative detection or quantitative analysis on a potential nitrosamine impurity-N-nitroso landiolol in a landiolol hydrochloride bulk drug by adopting an ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS / MS), wherein the structural formula of the N-nitroso landiolol is shown as a formula I in the specification. The detection method disclosed by the invention is high in sensitivity, strong in specificity and good in repeatability, can be used for rapidly and effectively detecting N-nitroso landiolol in the landiolol hydrochloride bulk drug, and has important significance on quality control of the landiolol hydrochloride bulk drug. ; formula I.

According to the method for detecting the content of the volatile substances in the aquilaria sinensis, provided by the invention, through pretreatment steps such as extraction of an extraction solvent, heating reflux and filtration, a sample is selectively and preliminarily purified, and the matrix effect of subsequent detection and analysis is effectively reduced; an inert capillary column is used for separation, high-purity helium is used as carrier gas, and an optimized heating program and an MRM detection mode are combined; through the synergistic effect of the two components, comprehensive, accurate and high-repeatability qualitative and quantitative analysis of various volatile substances in the aquilaria sinensis, especially nookatone which is easy to leak in a conventional method, is realized, and a reliable technical means is provided for accurate identification and quality evaluation of the aquilaria sinensis.

The application discloses a preparation method of a VP@UiO-66-NH2 / Ag NPs composite SERS chip and application thereof in A beta protein detection, and is characterized by comprising the following steps: synthesizing a VP-graphite paper base by a chemical vapor transport method on a surface of a graphite paper to obtain a VP-graphite paper base; synthesizing a UiO-66-NH2 layer on the surface of the VP-graphite paper base by a solvothermal method to obtain a VP@UiO-66-NH2 composite base; and finally, placing the composite base in an ion sputtering instrument, uniformly sputtering silver nanoparticles on the surface of the composite base, taking out the composite base, and obtaining the VP@UiO-66-NH2 / Ag NPs composite SERS chip, wherein the VP@UiO-66-NH2 / Ag NPs composite SERS chip has the advantages of high sensitivity, good stability and uniformity, controllable preparation process, low cost, application in Alzheimer's disease biomarker detection, high specificity in identification and quantitative analysis of A beta 40 and A beta 42 proteins, fast response and good stability.

The present invention aims to provide a method for evaluating the serotonin reuptake inhibitory effect of a composition containing valerian extract. [Solution] The present invention provides a method for evaluating antidepressant effects, which involves quantitatively analyzing one or more components contained in at least a part of a plant of the genus Valerian or a processed product thereof, and evaluating the antidepressant effect of the test substance by referring to the results of the quantitative analysis and criteria for antidepressant effect.

An element quantitative analysis method and device, electronic equipment and storage medium are disclosed. The element quantitative analysis method comprises: obtaining spectral data of a sample to be measured and a reference sample through rays, the sample to be measured comprising at least one element to be measured, and the reference sample being a sample with the same matrix composition as the sample to be measured but not containing the element to be measured; determining a transmittance value at an absorption edge of each element to be measured in the sample to be measured based on the spectral data of the sample to be measured and the reference sample; and determining a concentration value of each element to be measured in the sample to be measured based on the transmittance value at the absorption edge of each element to be measured in the sample to be measured.

1. The name of the design product: liquid chromatograph mass spectrometer (2050 triple quadrupole). 2. The use of the design product: the design is used for quantitative and semi-quantitative analysis of organic components. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention belongs to the technical field of spectral analysis, and discloses a method and a device for correcting a rotating matrix effect of a surface-enhanced laser-induced breakdown spectroscopy technology. The method comprises the following steps: 1, preparing a sample by a standard addition method; step 2, performing Youden calibration and sample preparation; step 3, performing SENLIBS sample preparation and spectrum acquisition; respectively carrying out SENLIBS sample preparation and spectrum collection on the sample solutions obtained in the step 1 and the step 2 to obtain corresponding absolute spectrum intensities of the two layers to be analyzed; step 4, establishing a calibration curve of the SENLIBS technology assisted by the standard addition method; step 5, obtaining a constant error through Youden calibration; step 6, constant error correction is carried out; and calculating the element concentration in the corrected solution to be detected. According to the invention, the constant error introduced by converting the carrier from a liquid phase to a metal carrier can be corrected, and the quantitative analysis accuracy of the SENLIBS technology is improved.

The invention discloses a processing and analysis system and method based on an SPECT / CT multi-modal image fusion technology, belongs to the technical field of image processing and analysis, and aims to accurately obtain the particle actual distribution and dose field distribution of different postoperative time nodes, such as within 24 hours, 1 month, 3 months and 6 months. The particle displacement rule and the influence on target core dose parameters are quantitatively analyzed, a dose coverage rate-curative effect response two-dimensional evaluation system is established, a basis is provided for clinical curative effect evaluation and subsequent treatment adjustment, an intelligent dose abnormal area identification tool is developed, and dose verification efficiency and precision are improved.

This invention presents a system using an alternative method to quantifying levels of substances from the EEG data using a non-linear equation based on the same essential features of previous disclosures. The essential features consist of predetermined frequency bands, the amalgamated ratio and a regression formula: (Formula (I)) where Y is the EEG- based substance level quantification.

The invention discloses a preparation method of a portable paper-based ratiometric fluorescence sensor APBA-CsPbBr3 at-UiO-66 / Ru, which comprises the following steps: 1, adding lead bromide and cesium bromide into N, N-dimethylformamide, then adding 5-bromovaleric acid and an oleylamine ligand, and stirring; 2, perfluorooctyltriethoxysilane is added, and a precursor solution is obtained; 3, adding zirconium chloride and terephthalic acid into N, N-dimethylformamide to obtain a homogeneous solution; 4, after heating, UiO-66 is obtained; 5, stirring the precursor solution, APBA, UiO-66 and tris (2, 2-dipyridyl) ruthenium chloride hexahydrate to obtain a composite material; and 6, dropwise adding the composite material solution into the filter paper. The APBA modified material is adopted as a recognition unit, the APBA modified material and the paper base construct a fluorescence sensing platform, visual quantitative analysis of oxytetracycline in water is achieved, and the device is convenient to carry, low in detection limit, high in anti-interference performance, easy and convenient to operate and suitable for on-site rapid detection of oxytetracycline.

The invention relates to a detection method, in particular to a method for rapidly detecting alpha and beta-lactoglobulin in auxiliary material lactose based on a microarray chip technology. On the basis of an indirect competitive enzyme-linked immunosorbent assay principle and a silver enhanced developing technology, a high-sensitivity microarray chip detection platform is successfully constructed by virtue of a biological chip scanner, and rapid quantitative analysis of alpha-lactalbumin and beta-lactoglobulin in the auxiliary material lactose for injection is realized. According to the method, an antigen-antibody specific recognition mechanism and a nano-silver signal amplification mechanism are integrated, and the detection efficiency and sensitivity are remarkably improved through the high-throughput layout of the microarray chip. In the aspect of methodology performance, the technology has the remarkable advantages of simple and convenient operation process, short detection time, high sample treatment flux, excellent specificity (CRlt; 1%) and the like.

The invention discloses a quantitative detection method for a mixture of bis (2-hydroxyethyl) disulfide and mercaptoethanol, and relates to the field of analysis and detection. The testing method comprises the following steps: respectively preparing a bis (2-ethoxyl) disulfide standard solution and a mercaptoethanol standard solution with different concentrations; and quantitatively measuring the standard solution and the detection sample through gas chromatography equipment, optimizing chromatographic conditions, drawing a standard curve according to the detection result of the standard solution, and quantitatively analyzing the detection sample by combining the standard curve and the spectrum of the standard solution. According to the present invention, the gas chromatography conditions are optimized, the phenyl functional group-containing polysiloxane is selected as the filler of the chromatographic column, and the detection temperature and the temperature rising program are controlled so as to ensure the separation and the detector sensitivity, and the split ratio is controlled to avoid the non-linear response and the peak overlapping; the detection accuracy of the bi-component bis (2-ethoxyl) disulfide and mercaptoethanol is high, the chromatographic peak separation degree is good, and the product quality detection requirement can be met.

The invention discloses a controllable nanorod array SERS (Surface Enhanced Raman Scattering) chip-based digital detection device for a serous ovarian cancer exosome phenotype as well as a detection method and application thereof, and relates to the technical field of biological detection. The device comprises a controllable nanorod array module, a high-sensitivity SERS probe module, an integrated microfluidic platform module and a digital analysis module. The controllable nanorod array module is used for accurately capturing a single exosome; the SERS probe module realizes specific recognition of multiple biomarkers on the surface of the exosome by conjugating a specific antibody and a Raman reporter molecule; the micro-fluidic platform module integrates filtering, reaction and imaging functions, so that high-throughput and automatic detection is realized; and the digital analysis module completes qualitative and quantitative analysis of exosome phenotypes. The problems that a traditional detection technology cannot analyze the phenotype difference of single exosomes, the sensitivity is low and the flux is insufficient are solved, early accurate diagnosis of the serous ovarian cancer can be achieved, and the kit has wide clinical application prospects.

The invention discloses a multi-element quantitative analysis method for laser ablation inductively coupled plasma mass spectrometry, and aims to solve the problems that the quantitative process of the existing LA-ICP-MS technology depends on a standard sample, the automation degree is low, and the existing LA-ICP-MS technology cannot adapt to complex multi-element signals. According to the method, full-automatic and multi-element (such as 9 main quantities and 30 trace elements) quantitative analysis is realized in the LA-ICP-MS field without an internal standard and an external standard, the analysis efficiency, the accuracy and the data comparability among different platforms are remarkably improved, and a breakthrough solution is particularly provided for application of element quantitative imaging and the like.

This invention discloses a quantitative test strip for HBV PreS1 antibody based on the AIE molecule, its preparation method, and its applications, relating to the fields of molecular biology, immunology, and biodetection technology. The test strip includes a sample pad, a labeling pad, a nitrocellulose membrane (NC membrane), an absorbent pad, and a base plate. The NC membrane detection line is coated with HBV PreS1 antigen to capture PreS1 antibodies in the sample. The labeling pad contains an immobilized Anti-Human IgG antibody conjugated to the AIE molecule, which binds to the PreS1 antibodies in the sample to form an immune complex. The test strip of this invention enables rapid detection of PreS1 antibodies and achieves enhanced fluorescence in the detection results. Combined with a fluorescence reader or fluorescence card reader, the detection results can be digitally and quantitatively analyzed. It is simple to operate, rapid in detection, and significantly improves detection sensitivity and enables quantitative analysis.

The present invention is directed to a novel "molecular amplification spike," which is a mixture of two components: an aliquot of a quantity of a molecule, composition, compound, or element of interest ("target") in its natural isotopic state, and an aliquot of an isotopically enriched form of the same molecule, composition, compound, or element. The molecular amplification spike contains 20% natural isotopes and the remainder enriched isotopes. The molecular amplification spike can optionally contain more than 20% natural abundance isotopes, thereby reducing the balance of enriched isotopes. Such a mixture spike, when added to a sample prior to mass analysis of that sample, significantly improves the error rate and quantification or confirmation of the absence of the target molecule, composition, compound, or element in the sample.