38 results about "Fluorescence spectra" patented technology

This invention discloses a method for detecting polycyclic aromatic hydrocarbons (PAHs) based on ultraviolet fluorescence and absorption spectroscopy, comprising: Step 1, acquiring the ultraviolet absorption spectrum and the fluorescence emission spectrum of a water sample under ultraviolet light excitation; Step 2, analyzing the corresponding CDOM fluorescence spectrum using the ultraviolet absorption spectrum obtained in Step 1; Step 3, subtracting the CDOM fluorescence spectrum obtained in Step 2 from the fluorescence emission spectrum obtained in Step 1 to obtain a mixed fluorescence spectrum containing multiple PAHs; Step 4, performing multivariate fitting on the mixed fluorescence spectrum obtained in Step 3 to obtain the type and concentration of each PAH in the water sample. This invention also provides a PAH detection device. The method provided by this invention is simple to operate and can directly detect raw water samples, thereby obtaining more accurate PAH detection results.

The application discloses a lysozyme content detection method in food, and belongs to the technical field of biological medicine detection. The method comprises the following steps: constructing a lysozyme detection standard curve; reacting a food sample to be detected with a fluorescent probe in a buffer system, measuring the fluorescence intensity of the reaction system, and calculating the lysozyme content in the food sample to be detected based on the standard curve. The application adopts a fluorescence spectrum method to research and compare the performance of polypeptide CALNNK (FITC) and lysozyme under different buffer systems, pH, temperature and reaction time conditions, and then uses the method to detect the lysozyme content in food. The 20 nmol / L polypeptide CALNNK (FITC) , BR buffer solution with pH=10.0, 4 min of time and 35 DEG C of temperature are the optimal reaction conditions, the lysozyme content in food can be quickly and accurately detected, and the method has far-reaching significance for the healthy development of the food industry.

The application discloses a kind of multicomponent plankton algae concentration measurement method based on fluorescence spectrum stratification partitioning.The application belongs to the field of marine aquatic ecological environment monitoring technology.The algorithm will unknown to be analyzed mixed three-dimensional fluorescence spectrum according to the following stratification partitioning analysis idea to be analyzed.First layer: full spectrum is involved in analysis, and the purpose is to analyze cyanophyta concentration and cryptophyta concentration, and obtain the difference spectrum in full spectrum region.Second layer: partitioning analysis, take the region containing effective spectral feature to participate in analysis, and the purpose is to analyze chlorophyll a concentration of green algae, diatom, dinoflagellate and yellow algae.The algorithm is significantly superior to common analysis algorithm in reducing misidentification, especially in processing such as diatom, dinoflagellate and yellow algae with high similarity living body fluorescence spectrum.

This invention discloses a method for determining the concentration of sulfated glycosaminoglycans using fluorescence spectroscopy. The fluorescent probe carries a certain number of arginine residues. Utilizing the electrostatic interaction between the amino groups on the arginine residues and the sulfate ions on the sugar chains, a series of fluorescent probe molecules can align neatly along the sugar chains to form a stable fluorescent complex. Due to the small spatial distance between the fluorescent chromophores in the complex, the original fluorescence emission band shifts. By calculating the ratio of the fluorescence intensities at two points, the concentration of sulfated glycosaminoglycans can be determined. This invention provides accurate detection results, good reproducibility, and high sensitivity; the experimental materials are simple, saving a significant amount of time.

This invention discloses a machine learning-enhanced fluorescence detection method for silver nanoclusters containing split nucleic acid aptamers, used for the detection of adenosine triphosphate (ATP) in aquatic products, belonging to the field of analytical chemistry. This detection method uses two split nucleic acid aptamers of ATP as templates to synthesize DNA-AgNCs. In the presence of the target ATP, a conformational change is induced, resulting in a decrease in fluorescence intensity. Quantitative analysis of ATP is achieved by detecting this fluorescence change. To further improve the detection effect, machine learning is introduced to preprocess the fluorescence spectrum. A recursive feature elimination algorithm is used to screen characteristic wavelengths, and a multi-dimensional feature set is constructed using maximum fluorescence intensity, peak area, and full width at half maximum (FWHM). The optimal classification model is obtained through cross-validation optimization. This invention combines aptamer recognition, DNA-AgNCs, and machine learning to construct a detection method where fluorescence dynamically decreases with increasing ATP concentration. It has advantages such as low cost, simple operation, and good biocompatibility, effectively improving detection sensitivity and stability, and has promising application prospects in the qualitative and quantitative analysis of ATP in aquatic products.

1. Name of the product in this design: Scientific Camera (Lux). 2. Application of this design: This design is used for collecting microscopic images in cell biology and electrophysiology experiments, capturing biophoton-related fluorescence spectra, directly imaging EUV / soft X-rays in high-energy physics, recording solar physics, orbit tracking and other astronomical phenomena. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The present invention provides a light-emitting device that can reduce the excitation light contained in the output light and improve fluorescence intensity. [Solution] The light-emitting device 1 for quality inspection comprises a solid-state light-emitting element 10 having an excitation light emission surface 13 for emitting excitation light, a phosphor ceramic layer 20 disposed on the excitation light emission surface 13 and converting excitation light into fluorescence, having an excitation light incident surface 21 into which excitation light is incident, a fluorescence emission surface 22 from which light containing fluorescence is emitted, and a side surface 23, and a sealing resin 30 disposed to surround at least a part of the side surface 23 of the phosphor ceramic layer 20, the light-emitting device 1 emits output light containing fluorescence, the phosphor ceramic layer 20 contains a phosphor in which at least a transition metal element is activated, the thickness of the phosphor ceramic layer 20 is 60 μm or more and 560 μm or less, and the wavelength at which the intensity of the fluorescence spectrum is maximum is 780 nm or more.

The application discloses a method for removing residual pieces of kidney stones under fluorescence guidance, and belongs to the technical field of medical devices. The method first establishes a database containing standard fluorescence spectrum curves of different types of stones. During the operation, a multispectral imaging system integrated in an endoscope emits excitation light of at least three wavelengths and collects a time sequence of multispectral fluorescence images of the operation area. The background and target spectrum are separated by a spectral decomposition algorithm, and the target spectrum is matched and identified with the database to locate the residual pieces of stones. Finally, the identification result is superimposed in real time on the endoscope white light image as a highlighted signal to generate an augmented reality guide image, which guides the doctor to accurately remove the residual pieces of stones and finally confirms the removal through systematic scanning and data backtracking. The application solves the problem of low identification rate and high missed detection rate of small and hidden residual pieces of stones in traditional operations, realizes high-specificity identification and intuitive spatial guidance, and significantly improves the completeness of removal and the operation efficiency.

The present invention relates to the technical field of spectrum testing. Disclosed is a laser-induced Raman and fluorescence spectrum testing system, comprising a laser module, a harmonic separator mirror, a frequency-doubling crystal, a first cavity mirror, a sample cell, a second cavity mirror, and a spectrum detection unit, wherein laser light emitted from the laser module sequentially passes through the harmonic separator mirror, the frequency-doubling crystal, and the first cavity mirror; the two surfaces of the harmonic separator mirror are respectively coated with a highly transmissive film and a highly reflective film, and the harmonic separator mirror reflects laser light having a required wavelength to the sample cell; the second cavity mirror is used for reflecting the laser light from the sample cell back. The harmonic separator mirror, the first cavity mirror, a second focusing lens, and the second cavity mirror in the present invention form a dual-beam-waist laser resonant cavity. The first cavity mirror and the second cavity mirror are both spherical reflective mirrors, and are respectively coated with a highly reflective film. The first cavity mirror is confocal with a first focusing lens, and the second cavity mirror is confocal with the second focusing lens. Two beam waist focuses of the laser resonant cavity are respectively located at the positions of the frequency-doubling crystal and the sample cell, so as to achieve the optimal frequency-doubling efficiency and sample excitation efficiency.

The present application belongs to the technical field of soil spectrum detection and agricultural informatization, and discloses a multi-modal spectrum soil property estimation method based on task priori gated distillation. Visible-near infrared reflectance spectrum, X-ray fluorescence spectrum and laser-induced breakdown spectrum of the same sample are obtained, and after pretreatment, teacher soft labels and intermediate features are generated by PLS, SF-PLS and GR chemometric teacher models; the student network extracts modal features through three one-dimensional convolution branches, adopts GeM / TopK aggregation, Dirichlet task gating and double expert prediction modules for fusion and regression, and is jointly trained by output distillation, feature distillation, true value regression and gating regularization. In the inference stage, only the student network is deployed for clay, organic matter, cation exchange capacity, pH, base saturation and extractable phosphorus, potassium, calcium and magnesium estimation.

The application discloses alkali metal doped perovskite single crystal material and a preparation method and application thereof. A high-concentration alkali metal halide is introduced into a perovskite aqueous phase precursor, and an alkali metal doped perovskite single crystal is precipitated through a cooling method. The traditional cesium lead bromide perovskite light emitting wavelength band is near 520 nm, and wide spectrum emission cannot be realized. The scheme can prepare a centimeter level perovskite CsPb2Br5 single crystal with wide spectrum emission. Test results show that the alkali metal doped perovskite CsPb2Br5 single crystal fluorescence spectrum covers a visible light and near infrared light wavelength band (500-1000 nm).

The utility model provides a kind of nutrient substance real-time detection device based on fluorescence spectrum technology, belong to food detection equipment field.Solved how in the process of boiling food makes nutrient substance to be retained to the greatest extent, avoid the problem that the nutrient substance is decomposed and converted into other substances in large quantities caused by overlong cooking time.It includes device main body, fluid passage, filtering device, light emitting device, fluorescence receiving device and fluorescence detection device, the fluid passage is arranged in device main body and penetrates device main body, and the both ends of fluid passage are detachably installed with filtering device, the fluid passage is transparent material, light emitting device and fluorescence receiving device are symmetrically arranged in the both sides of fluid passage and are in conformity with fluid passage, and the light of light emitting device can be received by fluorescence receiving device by passing through fluid passage.It is mainly used for detecting the release condition of nutrient substance in the process of food boiling.

The application belongs to the technical field of nano-enzyme sensing, and particularly relates to a three-mode phytic acid detection method based on a double-enzyme cascade reaction and application thereof. The detection method uses CAU-10-NH2 metal organic framework as a light-responsive nano-enzyme, combines the light catalytic oxidase activity of ALP and CAU-10-NH2, acquires signals through three modes of fluorescence spectrum, ultraviolet-visible absorption spectrum and photothermal imaging, and quantitatively analyzes the phytic acid content according to the signal change. Phytic acid inhibits the ALP activity, controls the generation amount of ascorbic acid, further influences the oxTMB content generated by CAU-10-NH2 catalyzing TMB oxidation, and realizes the synchronous change of fluorescence, colorimetric and photothermal signals. The application first discovers that CAU-10-NH2 has light catalytic oxidase activity, and only the -NH2 substituted derivative in the CAU-10 series (including CAU-10-H, -OH, -Br, -NO2, etc.) exhibits the activity, which expands the application of aluminum-based MOFs in the field of nano-enzyme sensing.

This invention relates to the field of biological sample detection technology, specifically to an abnormal region detection and management method based on excitation light and fluorescence spectral analysis. The invention captures the optical response signal released by the biological sample at the detection location and performs spectral analysis on the captured optical response signal, resolving the excitation light intensity value for the excitation light's own wavelength band and the fluorescence intensity value for the fluorescence band generated by the excitation light. This invention generates a light intensity distribution mapping image of the corresponding spatial domain of the biological sample by spatially mapping the excitation light intensity value and fluorescence intensity value at each detection location. This provides a quantitative criterion for screening abnormal regions of the biological sample, and compared to subjective human perception, this method has higher accuracy in identifying abnormal regions.

The application discloses a SIF spectrum inversion method based on singular value decomposition and machine learning regression. The method comprises the following steps: step 1, acquiring sample radiance spectrum data, solar-induced chlorophyll fluorescence spectrum data corresponding to the radiance spectrum data and the like; step 2, performing singular value decomposition on a feature matrix, selecting a plurality of main singular vectors to construct a reconstruction base matrix, and calculating low-dimensional expansion coefficients of the fluorescence spectrum; step 3, performing singular value decomposition on the feature matrix; step 4, taking the low-dimensional feature coefficients of the radiance spectrum, preset key band radiance features, band ratio features and observation geometry features as input variables of a machine learning regression model; and step 5, inputting a sample to be inverted into the trained machine learning regression model. The application converts the high-dimensional solar-induced chlorophyll fluorescence spectrum inversion problem into a low-dimensional expansion coefficient prediction problem, and has the advantages of high inversion efficiency, strong model stability and suitability for popularization and application.

A light-emitting device (1) for quality inspection comprises: a solid-state light-emitting element (10) having an excitation light emission surface (13) that emits excitation light; a phosphor ceramic layer (20) that is disposed on the excitation light emission surface (13), converts the excitation light into fluorescence, and has an excitation light incidence surface (21) on which the excitation light is incident, a fluorescence emission surface (22) from which light including the fluorescence is emitted, and a side surface (23); and a sealing resin (30) disposed so as to surround at least a portion of the side surface (23) of the phosphor ceramic layer (20). The light-emitting device (1) emits output light including fluorescence. The phosphor ceramic layer (20) includes a phosphor in which a transition metal element is at least activated. The thickness of the phosphor ceramic layer (20) is 60-560 μm. The wavelength at which the intensity of the spectrum of the fluorescence is at its maximum is 780 nm or above.

The application discloses a transformer oil detection method based on polarized light and ultraviolet light, and relates to the technical field of electrical equipment insulating oil detection.The method comprises the following steps: using a polarized light source to irradiate a stable flowing oil sample to be detected, and acquiring polarized light field distribution data after transmission and scattering; using an ultraviolet light source to irradiate the oil sample, and acquiring characteristic fluorescence spectrum and spatial intensity distribution data generated by excitation; respectively establishing mapping models of the polarized light field distribution data and water content and suspended particulate matter in the oil, and mapping models of characteristic fluorescence data and aging products and dissolved fault gases, so as to quantitatively analyze various impurity parameters; and finally, fusing the parameters to construct a comprehensive evaluation index of transformer oil state, and generating a diagnosis report of insulating performance and aging degree according to a threshold standard.The application realizes high-precision, spatially-resolved synchronous detection and comprehensive evaluation of various forms of pollutants in transformer oil.

This invention belongs to the field of pharmacology and provides the application of demethoxycurcumin and phlorizin in the preparation of drugs that inhibit β-lactoglobulin glycosylation. The synergistic inhibitory effects and mechanisms of demethoxycurcumin and phlorizin on AGEs were systematically investigated. Fluorescence spectroscopy and carbonyl / thiol / amino group assays confirmed that demethoxycurcumin and phlorizin can synergistically inhibit β-lactoglobulin glycosylation at appropriate concentrations. Circular dichroism spectroscopy and other experiments showed that the combined use of the two can better alleviate protein secondary structure changes and aggregation. They competitively bind to the same glycosylation site, synergistically resist oxidation, thereby inhibiting AGEs formation, and synergistically reducing oxidative stress, cell damage, and apoptosis at the cellular level. Therefore, the combined application of these two drugs has potential therapeutic value in intervening in diabetic complications.

This application discloses a method and system for deep ultraviolet fluorescence spectroscopy testing of wide bandgap semiconductors, relating to the field of semiconductor material detection technology. The method includes: acquiring a wide bandgap semiconductor sample; emitting deep ultraviolet excitation light from a deep ultraviolet light source onto the wide bandgap semiconductor sample to excite electron-hole pairs, which recombine to generate a fluorescence signal; wherein the photon energy of the deep ultraviolet excitation light is greater than the bandgap of the wide bandgap semiconductor sample; detecting the fluorescence signal and performing spectral analysis on the detected fluorescence signal to obtain electronic energy level structure information related to defects and impurities in the wide bandgap semiconductor sample. This application utilizes the characteristic that the photon energy of the deep ultraviolet excitation light is greater than the bandgap of the wide bandgap semiconductor sample to achieve efficient excitation of intrinsic and defect states.

The present application relates to the technical field of coal detection, in particular to a coal calorific value online detection method based on XRF and NIR feature level fusion, comprising: synchronously collecting X fluorescence spectrum data and near-infrared spectrum data of a coal sample, respectively preprocessing to extract an organic component feature set containing moisture and hydrogen-containing functional group related features, and an element component feature set containing inorganic mineral element and organic element related features, performing feature level fusion on the two types of feature sets to generate a fusion feature vector, inputting the fusion feature vector into an improved partial least squares regression model with adaptive weight adjustment according to coal sample surface laser topography data, and finally outputting a coal calorific value prediction value. The method effectively makes up for the one-sidedness of single spectrum detection, eliminates redundant information, reduces the deviation caused by sample surface topography differences, and improves the comprehensiveness, stability and accuracy of coal calorific value online detection.

This invention discloses a rapid detection method and system for lead in soil based on quantum dot fluorescence, specifically relating to the fields of optical detection and fluorescence analysis. It addresses the problem of fluorescence signal distortion caused by non-specific heterogeneous aggregation of nanoparticles in the extract solution when existing quantum dot fluorescent probes detect lead in soil. The method acquires the fluorescence spectrum of the mixed system and separates the characteristic fluorescence peaks of the quantum dots. It performs time-resolved measurements of the fluorescence signal, divides the time window of the fluorescence lifetime decay curve according to a preset time threshold, and calculates the integral area. Simultaneously, it analyzes the quenching kinetics of the characteristic fluorescence peak intensity to obtain the fluorescence quenching rate constant, and calculates the lifetime distribution characteristic ratio based on the integral area of ​​the time window. It determines the contribution ratio of non-specific aggregation to the fluorescence quenching rate constant through cooperative deviation analysis. Based on this ratio, it compensates and corrects the intensity of the characteristic fluorescence peak, accurately calculating the lead ion concentration in the soil extract solution.

The present invention relates to the technical field of atomic frequency standards, and in particular to a miniaturized atomic beam clock physics system and a clock generation method. The atomic beam clock physics system comprises: an alkali metal atom emission cavity, an alkali metal raw material block, a microcapillary array, a drift cavity, a multilayer silicon substrate, a laser, a fiber-optic phase modulator, a beam splitter prism, a plurality of reflecting mirrors, and a signal detector. Compared with a conventional coherent population trapping detection method based on a vapor cell, the present invention achieves a narrower fluorescence spectrum width and higher long-term frequency stability, also has a chip‑level integration capability, and has higher competitiveness compared with existing chip-scale atomic clocks based on a vapor cell structure.

The application provides a spectrum detection device and method based on ultraviolet-fluorescence feature level fusion, and belongs to the field of spectrum detection and analysis. The device comprises an ultraviolet light source module, a sample detection module, a fluorescence collection module, a spectrum analysis module and a data processing module. The ultraviolet light source module is used for providing stable ultraviolet excitation light; the sample detection module is used for irradiating the ultraviolet light onto a sample to be detected and collecting the excited fluorescence signal; the fluorescence collection module captures the fluorescence signal through a high-sensitivity detector; the spectrum analysis module performs spectrum separation on the collected ultraviolet light and fluorescence signal; and the data processing module adopts a feature level fusion algorithm to perform fusion analysis on the features of the ultraviolet spectrum and the fluorescence spectrum, so as to improve the detection precision. The application can simultaneously utilize the advantages of the ultraviolet spectrum and the fluorescence spectrum, comprehensively detects the physical and chemical characteristics of a sample, and is widely applicable to the fields of food safety detection, biological medicine analysis, environmental monitoring and the like.

This invention discloses a method for tracing the source of pollution in stormwater pipe networks by combining three-dimensional fluorescence fingerprinting and graph neural networks, relating to the field of urban stormwater system pollution control technology. The method collects spectral data of the pipe network by deploying a fluorescence spectral sensor array to construct an incrementally updatable fluorescence database; establishes a graph model based on the pipe network topology and hydraulic parameters, and embeds the spatiotemporal features of nodes / pipe segments using a GNN; extracts the spatial features and temporal series correlations of the spectra using a hybrid CNN and LSTM model; calculates the probability distribution of pollution sources through database matching and model inference, and outputs the pollution source type, location, and confidence assessment of the mixed connection path based on the Bayesian inference optimization results. The method introduces anomaly sample identification and multi-source evidence fusion to maintain robustness under complex operating conditions; the results are presented in a tiered alarm and visualization report. This invention constructs a perception-analysis-response closed-loop system to achieve rapid and accurate source tracing of sudden mixed connection pollution.

The application discloses a new reclaimed soil exogenous carbon precise application method based on fluorescence spectrum technology, relates to the technical field of soil improvement, and specifically comprises the following steps: (1) soil background carbon activity diagnosis: collecting a new reclaimed farmland soil sample, extracting DOM in the soil, obtaining the fluorescence integral area of five characteristic peak regions through three-dimensional fluorescence spectrum scanning, calculating fluorescence parameters FI, BIX and HIX according to the proportion, and evaluating the soil carbon stability and activity short board through the fluorescence parameters; (2) exogenous carbon material screening model construction: establishing a mapping relationship between fluorescence characteristic parameters and carbon function demand; and (3) precise addition and effect verification: dynamically adjusting the types and proportions of exogenous carbon according to the diagnosis result. The application determines the soil dissolved organic carbon components through fluorescence spectrum measurement, reflects the soil carbon pool difference between the new reclaimed farmland and the mature farmland through fluorescence component analysis, selects appropriate organic material addition, and achieves the purpose of rapid composting of the new reclaimed farmland.

The present application relates to the field of groundwater pollution source identification, and more particularly to a groundwater pollution source identification method based on three-dimensional fluorescence spectrum and neural network. The content includes: collecting groundwater samples and performing fluorescence spectrum scanning, performing tensor decomposition on the obtained three-dimensional fluorescence excitation-emission matrix to obtain the excitation spectrum intensity, emission spectrum intensity of the component, and the relative concentration score of the groundwater sample on each component; based on the relative concentration score of the groundwater sample on each component, calculating the pollution source prediction result of the groundwater sample; based on the position of the known sampling point and the pollution source prediction result of the groundwater sample, calculating the probability that the to-be-estimated spatial position belongs to the target pollution source type, and generating a continuous spatial probability distribution field. The problems of fluorescence feature analysis depending on subjective judgment, the lack of adaptive differentiation ability of the contribution importance of the pollution source classification model to different fluorescence components, the discretization of the expression of the spatial distribution of the pollution source, and the lack of continuity and intuitiveness are solved.

This invention discloses a rapid water body identification method based on three-dimensional fluorescence feature images, comprising: acquiring three-dimensional fluorescence spectra of water samples; preprocessing the acquired three-dimensional fluorescence spectra to remove Rayleigh and Raman scattering interference; performing surface smoothing filtering on the preprocessed three-dimensional fluorescence spectra; dividing the surface smoothing filtered three-dimensional fluorescence spectral information into fluorescence signals and background noise; selecting and extracting fluorescence feature regions based on the fluorescence signals; acquiring fluorescence feature images based on the fluorescence feature regions; and identifying the water sample category based on the established water body identification model using the fluorescence feature images. This invention enables accurate identification of water bodies in the main process flows of wastewater treatment plants, helping staff to promptly detect any abnormalities in process operation and providing a theoretical basis for process optimization, equipment maintenance, and cost reduction.

A main objective of the present technology is to improve separation performance of a fluorescence spectrum.The present technology provides a particle analysis system including: a light irradiation unit including at least one first light source that emits light with a wavelength equal to or greater than 350 nm and at least one second light source that emits light with a wavelength less than 350 nm; and a processing unit configured to perform unmixing processing on light data obtained by irradiating particles with light by the light irradiation unit. In addition, the present technology also provides an information processing method including an unmixing processing step of performing unmixing processing on light data obtained by irradiating particles with light by a light irradiation unit including at least one first light source that emits light with a wavelength equal to or greater than 350 nm and at least one second light source that emits light with a wavelength less than 350 nm.

The application discloses a method for preparing whey protein isolate-chicory powder conjugates by means of ultrasonic-assisted wet heat treatment, and the whey protein isolate-chicory powder conjugates are obtained by 80 DEG C wet heat treatment for 1-5 hours and ultrasonic treatment. The ultrasonic treatment conditions are optimized by means of a response surface method, so that the grafting degree value is maximized. In addition, the generation of the whey protein isolate-chicory powder conjugates is proved by grafting degree, browning degree, FT-IR, SDS-PAGE, CD and fluorescence spectrum. The emulsifying activity, emulsion stability, thermal stability and antioxidant activity of the whey protein isolate-chicory powder conjugates generated by Maillard reaction are improved. Compared with the conjugates prepared by means of wet heat treatment, the conjugates prepared by means of ultrasonic treatment exhibit better structural performance and functional performance.

This invention relates to the field of industrial wastewater treatment and resource utilization technology, and particularly to a method and system for the co-production of acid and alkali from epoxy resin wastewater with graded control of organic matter. The method includes the following steps: Fourier transform ion cyclotron resonance mass spectrometry is used to analyze the molecular composition of organic matter in the epoxy resin wastewater; organic matter is classified into categories A, B, and C based on oxygen-to-carbon ratio, hydrogen-to-carbon ratio, and molecular weight, and graded control targets are set; the wastewater is then introduced into a multi-stage electrodialysis system, and the organic matter is retained in stages through gradient operating conditions; total organic carbon and fluorescence spectral characteristics are monitored during electrodialysis. This invention achieves synergistic inhibition of organic matter during electrodialysis-bipolar membrane electrodialysis through molecular feature analysis and graded control, resulting in high-purity acid and alkali products. It has advantages such as high resource recovery efficiency and no secondary pollution, and is suitable for the deep treatment and resource utilization of epoxy resin production wastewater with high salt and high organic matter content.